Alternatives to DataPortia

TimescaleDB brings the power of PostgreSQL to time-series and event data at any scale. It extends standard Postgres with features like automatic time-based partitioning (hypertables), incremental materialized views, and native time-series functions, making it the most efficient way to handle analytical workloads. Designed for use cases like IoT, DevOps monitoring, crypto markets, and real-time analytics, it ingests millions of rows per second while maintaining sub-second query speeds. Developers can run complex time-based queries, joins, and aggregations using familiar SQL syntax — no new language or database model required. Built-in compression ensures long-term data retention without high storage costs, and automated data management handles rollups and retention policies effortlessly. Its hybrid storage architecture merges row-based performance for live data with columnar efficiency for historical queries. Open-source and 100% PostgreSQL compatible, TimescaleDB integrates with Kafka, S3, and the entire Postgres ecosystem. Trusted by global enterprises, it delivers the performance of a purpose-built time-series system without sacrificing Postgres reliability or flexibility.

Smart Software, a leading provider in demand planning, inventory optimization, and supply chain analytics solutions, is based in Belmont, Massachusetts USA. Smart Software was founded in 1981 and has helped thousands of customers plan for future demands using industry-leading statistical analysis. Smart Inventory Planning & Optimization is the company's next generation suite of native web apps. It helps inventory-carrying organizations reduce inventory, improve service levels, and streamline Sales, Inventory, Operations Planning. Smart IP&O is a Digital Supply Chain Platform that hosts three applications: dashboard reporting, inventory optimization, demand planning. Smart IP&O acts as an extension to our customers' ERP systems. It receives daily transaction data, returns forecasts and stock policy values to drive replenishment planning and production planning.

TrendMiner is an advanced industrial analytics platform that is fast, powerful, and intuitive. It was designed to monitor and troubleshoot industrial processes in real-time. It allows for robust data collection, analysis and visualization, allowing everyone in industrial operations to make smarter data-driven decision efficiently. TrendMiner is a Proemion Company founded in 2008. Our global headquarters are located in Belgium and we have offices in the U.S.A., Germany, Spain, and the Netherlands. TrendMiner has strategic alliances with major players like Amazon, Microsoft and SAP. It also offers standard integrations for a variety of historians, including Honeywell PHD and GE Proficy Historian.

Tiger Data reimagines PostgreSQL for the modern era — powering everything from IoT and fintech to AI and Web3. As the creator of TimescaleDB, it brings native time-series, event, and analytical capabilities to the world’s most trusted database engine. Through Tiger Cloud, developers gain access to a fully managed, elastic infrastructure with auto-scaling, high availability, and point-in-time recovery. The platform introduces core innovations like Forks (copy-on-write storage branches for CI/CD and testing), Memory (durable agent context and recall), and Search (hybrid BM25 and vector retrieval). Combined with hypertables, continuous aggregates, and materialized views, Tiger delivers the speed of specialized analytical systems without sacrificing SQL simplicity. Teams use Tiger Data to unify real-time and historical analytics, build AI-driven workflows, and streamline data management at scale. It integrates seamlessly with the entire PostgreSQL ecosystem, supporting APIs, CLIs, and modern development frameworks. With over 20,000 GitHub stars and a thriving developer community, Tiger Data stands as the evolution of PostgreSQL for the intelligent data age.

HighByte Intelligence Hub is an Industrial DataOps software solution designed specifically for industrial data modeling, delivery, and governance. The Intelligence Hub helps mid-size to large industrial companies accelerate and scale the use of operational data throughout the enterprise by contextualizing, standardizing, and securing this valuable information. Run the software at the Edge to merge and model real-time, transactional, and time-series data into a single payload and deliver contextualized, correlated information to all the applications that require it. Accelerate analytics and other Industry 4.0 use cases with a digital infrastructure solution built for scale.

Seeq is the first app that focuses on process data analytics. Search your data, add context, model, cleanse, find patterns, establish boundaries and collaborate in real-time with time series data. No matter what your operational data system or process historian - the OSIsoft®, PI System®, Honeywell’s Uniformance®, Emerson DeltaV and Ovation or Inductive Automation's Ignition - Seeq can connect and get to work in minutes. What's missing in the current hype about predictive analytics, machine learning and data science is solutions to the real problems that an analytics-driven company faces. Your current employees' expertise. Collaboration and knowledge capture are key to fostering sharing and reuse of analytics efforts. The ability to quickly distribute insights to those who need them to improve outcomes.

Unlock the full potential of your enterprise's time-series data with the dataPARC Historian. This solution elevates data management, facilitating smooth and secure data flow across your organization. Its design ensures easy integration with AI, ML, and cloud technologies, paving the way for innovative adaptability and deeper insights. Rapid access to data, advanced manufacturing intelligence, and scalability make dataPARC Historian the optimal choice for businesses striving for excellence in their operations. It's not just about storing data; it's about transforming data into actionable insights with speed and precision. The dataPARC Historian stands out as more than just a repository for data. It empowers enterprises with the agility to use time-series data more effectively, ensuring decisions are informed and impactful, backed by a platform known for its reliability and ease of use.

PipelineDB serves as an extension to PostgreSQL, facilitating efficient aggregation of time-series data, tailored for real-time analytics and reporting applications. It empowers users to establish continuous SQL queries that consistently aggregate time-series information while storing only the resulting summaries in standard, searchable tables. This approach can be likened to highly efficient, automatically updated materialized views that require no manual refreshing. Notably, PipelineDB avoids writing raw time-series data to disk, significantly enhancing performance for aggregation tasks. The continuous queries generate their own output streams, allowing for the seamless interconnection of multiple continuous SQL processes into complex networks. This functionality ensures that users can create intricate analytics solutions that respond dynamically to incoming data.

Historian is a software solution designed for the comprehensive and ongoing tracking of various metrics. It utilizes an InfluxDB time-series database to facilitate long-term monitoring applications seamlessly. You can oversee data related to vibration, temperature, inclination, strain, pressure, and more, using either a self-hosted setup or a completely managed cloud service. The system is compatible with the standard OPC UA protocol, ensuring efficient data access and enabling integration with DewesoftX data acquisition software, SCADAs, ERPs, or any other OPC UA-enabled clients. The data is securely housed within a cutting-edge open-source InfluxDB database, which is crafted by InfluxData and written in Go, allowing for rapid and high-availability storage and retrieval of time series data relevant to operational monitoring, application metrics, IoT sensor data, and real-time analytics. Users can choose to install the Historian service either locally on the measurement unit or within their local intranet, or opt for a fully managed cloud service tailored to their needs. This flexibility makes Historian a versatile choice for organizations looking to enhance their data monitoring capabilities.

AVEVA Historian streamlines the complex demands of data reporting and analysis. This powerful tool can be utilized to oversee either a single process or an entire facility, effectively storing data on-site while also consolidating information at a corporate level. By preventing the existence of various versions of plant operational data, it enhances productivity, minimizes errors, and cuts down on operating expenses. In contrast to traditional relational databases that struggle in production settings, Historian is specifically designed to manage time-series data alongside alarm and event data seamlessly. Its innovative “history block” technology records plant data significantly quicker than standard database systems while consuming only a small fraction of the typical storage space. Furthermore, Historian upholds the data integrity necessary to meet the highest standards of requirement. It adeptly handles low bandwidth data communications, accommodates delayed information, and processes data from systems that may have inconsistent clock settings. This ensures that high-resolution data is captured accurately every single time, contributing to reliable operational insights and decision-making.

Nixtla is a cutting-edge platform designed for time-series forecasting and anomaly detection, centered on its innovative model, TimeGPT, which is recognized as the first generative AI foundation model tailored for time-series information. This model has been trained on an extensive dataset comprising over 100 billion data points across various sectors, including retail, energy, finance, IoT, healthcare, weather, and web traffic, enabling it to make precise zero-shot predictions for numerous applications. Users can effortlessly generate forecasts or identify anomalies in their data with just a few lines of code through the provided Python SDK, even when dealing with irregular or sparse time series, and without the need to construct or train models from the ground up. TimeGPT also boasts advanced capabilities such as accommodating external factors (like events and pricing), enabling simultaneous forecasting of multiple time series, employing custom loss functions, conducting cross-validation, providing prediction intervals, and allowing fine-tuning on specific datasets. This versatility makes Nixtla an invaluable tool for professionals seeking to enhance their time-series analysis and forecasting accuracy.

Anticipate issues before they arise by utilizing an Azure AI anomaly detection service. This service allows for the seamless integration of time-series anomaly detection features into applications, enabling users to quickly pinpoint problems. The AI Anomaly Detector processes various types of time-series data and intelligently chooses the most effective anomaly detection algorithm tailored to your specific dataset, ensuring superior accuracy. It can identify sudden spikes, drops, deviations from established patterns, and changes in trends using both univariate and multivariate APIs. Users can personalize the service to recognize different levels of anomalies based on their needs. The anomaly detection service can be deployed flexibly, whether in the cloud or at the intelligent edge. With a robust inference engine, the service evaluates your time-series dataset and automatically determines the ideal detection algorithm, enhancing accuracy for your unique context. This automatic detection process removes the necessity for labeled training data, enabling you to save valuable time and concentrate on addressing issues promptly as they arise. By leveraging advanced technology, organizations can enhance their operational efficiency and maintain a proactive approach to problem-solving.

ClusterControl is a multi-cloud hybrid database ops orchestration platform that supports MongoDB and Elasticsearch as well as Redis, TimescaleDB and SQL Server on Linux. It also supports Galera Cluster, PostgreSQL and MySQL in cloud and on-premises environments. It can handle all aspects of the lifecycle, including deployment, failover, backup, and more. It allows organizations to implement the Sovereign DBaaS model with its full suite of databases and ops features. ClusterControl is the ideal solution for organizations who need to run large-scale, open source database operations reliably but don't want to be restricted by traditional DBaaS providers. It allows you to choose your environment, stability of licenses, and gives you DB access.

Detecting anomalies in time series data is critical for the daily functions of numerous organizations. The Timeseries Insights API Preview enables you to extract real-time insights from your time-series datasets effectively. It provides comprehensive information necessary for interpreting your API query results, including details on anomaly occurrences, projected value ranges, and segments of analyzed events. This capability allows for the real-time streaming of data, facilitating the identification of anomalies as they occur. With over 15 years of innovation in security through widely-used consumer applications like Gmail and Search, Google Cloud offers a robust end-to-end infrastructure and a layered security approach. The Timeseries Insights API is seamlessly integrated with other Google Cloud Storage services, ensuring a uniform access method across various storage solutions. You can analyze trends and anomalies across multiple event dimensions and manage datasets that encompass tens of billions of events. Additionally, the system is capable of executing thousands of queries every second, making it a powerful tool for real-time data analysis and decision-making. Such capabilities are invaluable for businesses aiming to enhance their operational efficiency and responsiveness.

As leading authorities in the design and management of data infrastructures for expanding businesses, we cater to a range of needs from those just starting with 5GB of data to those who have scaled up to over 100TB. Our expertise allows us to pinpoint the perfect setup that maximizes value for your specific requirements. ObjectRocket provides a robust selection of database instances including CockroachDB, Elasticsearch, MongoDB, PostgreSQL, Redis, and TimescaleDB, all ensured for high availability and supported around the clock by professional database engineers. We facilitate the hosting and management of databases for applications across major platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and Rackspace Service Net. Every production workload on ObjectRocket's secure and automated platform comes with dedicated, around-the-clock support, including direct access to our skilled engineers, tailored plans, unlimited DBA time, and comprehensive 24/7 monitoring. By choosing us, you can rest assured that your data is in expert hands, allowing you to focus on what truly matters—growing your business.

Proficy Historian stands out as a premier historian software solution designed to gather industrial time-series and A&E data at remarkable speeds, ensuring secure and efficient storage, distribution, and rapid access for analysis, ultimately enhancing business value. With a wealth of experience and a track record of thousands of successful implementations globally, Proficy Historian transforms how organizations operate and compete by making critical data accessible for analyzing asset and process performance. The latest version of Proficy Historian offers improved usability, configurability, and maintainability thanks to significant advancements in its architecture. Users can leverage the solution's powerful yet straightforward features to derive new insights from their equipment, process data, and business strategies. Additionally, the remote collector management feature enhances user experience, while horizontal scalability facilitates comprehensive data visibility across the enterprise, making it an essential tool for modern businesses. By adopting Proficy Historian, companies can unlock untapped potential and drive operational excellence.

CDviz is a community-driven observability platform focused on CI/CD that adheres to the CDEvents standard, which is supported by the CD Foundation and aims to enhance software delivery processes. It gathers events from various sources, including GitHub, GitLab, ArgoCD, and Kubernetes, using webhooks and built-in integrations, normalizing the data to conform to the CDEvents standard, and storing it in PostgreSQL with TimescaleDB for efficient querying. Users can access the data directly through SQL queries from any reporting tool, internal developer platform, or Grafana dashboard, with pre-configured Grafana dashboards available for key metrics such as DORA metrics, deployment timelines, artifact tracking, pipeline efficiency, and incident management. In contrast to traditional polling methods, CDviz adopts a push event-driven approach, facilitating real-time observability and the ability to automate workflows triggered by events from the same data stream. Furthermore, the platform ensures that all data remains within your own infrastructure, eliminating concerns about vendor lock-in. CDviz is available under the Apache License v2, allowing for free self-hosting. Currently, there is also an enterprise plan in beta that provides professional support at no cost. This makes CDviz an attractive option for organizations seeking flexibility and robust CI/CD observability solutions.

It's time to move on from outdated clipboards and the monotonous transcription of essential plant performance metrics. The FactoryTalk® Historian software efficiently gathers operational process data from various sources at incredible speeds. This software provides an unparalleled degree of supervisory control, performance tracking, and quality assurance, with the capability to scale from individual machines to the entire enterprise. Recording time-series data at this speed would be unfeasible, even for the most energetic record keeper on the plant floor. The dashboards offered by FactoryTalk Historian simplify this process. Additionally, the enhanced ability to forecast trends using dependable data will boost productivity to new heights. With FactoryTalk Historian Site Edition (SE), no data across your plant and enterprise can remain concealed. Its redundancy and high availability guarantee uninterrupted access to vital plant information, ensuring your operations run smoothly without downtime. This transition to a more advanced system not only streamlines processes but also empowers your team to focus on strategic improvements.

Uptimon is a comprehensive monitoring software as a service (SaaS) that ensures continuous oversight of website and API uptime around the clock, identifying outages in mere seconds and delivering immediate notifications. It conducts HTTP(S) checks at adjustable intervals ranging from 30 seconds to 60 minutes, evaluating response times, status codes, the presence of specific keywords, and the validity of SSL certificates. In the event of a downtime, it promptly alerts users through various channels such as email, Discord, Telegram, webhook, or SMS. The user-friendly dashboard showcases real-time operational status, the uptime percentage over the last 30 days, average response times, and performance analytics. The underlying technical architecture comprises a Node.js/Go backend, a Redis queue for task management, support for horizontal scaling, and time-series databases like TimescaleDB. Its target demographic spans from individual freelancers to large enterprises. Notable features that set it apart are its straightforward setup process (requiring just three clicks), rapid detection capabilities, and competitive pricing strategy. Uptimon employs a freemium model, offering paid tiers that depend on the number of monitors and frequency of checks. Additionally, it includes growth-oriented functionalities like shareable status badges, publicly accessible status pages, and seamless integrations with platforms such as Vercel and Netlify, enhancing its appeal to users. With its innovative approach to monitoring, Uptimon positions itself as a valuable tool for maintaining online presence.

SimAnalytics Factory Harmonizer serves as an advanced industrial analytics solution that merges real-time production metrics with automated machine learning techniques to provide insights that empower operators and engineers in enhancing efficiency, stability, quality, and sustainability in both continuous and batch manufacturing environments. By transforming intricate production data into easily digestible visuals, it uncovers the root causes of disruptions and identifies optimization opportunities, while offering features such as real-time monitoring, customizable dashboards, and user-friendly web interfaces that streamline the data interpretation process. The platform integrates seamlessly with various systems including distributed control systems, historian databases, and laboratory and quality management systems. It is equipped with specialized modules such as FH Cycle for managing batch processes, FH Harmony for comprehensive production stability assessment, and FH Soft Sensors for the real-time estimation of challenging or expensive-to-measure variables, allowing for proactive adjustments and minimizing waste. Additionally, the platform's intuitive design ensures that users at all skill levels can leverage its capabilities to drive continuous improvement in their operations.

Scytec DataXchange, a Cloud and On Premise OEE and analytic machine monitoring system, is available. DataXchange uses innovative IIoT technology to increase equipment efficiency, utilization, and shop floor productivity. DataXchange can be used with a variety of manufacturing machines, including CNC's and PLC's as well as robots, welders, and manual ones. You can create custom shop floor data entry rules to automatically collect shopfloor data from a wired or wired connection on MTConnect and Fanuc FOCAS based machines, as well as older and manually operated machines. DataXchange provides all the OEE reports and charts, dashboards, notifications, and notifications that you need to analyze the machine data. It also triggers notifications. This allows you to meet the needs of small facilities aswell as multi-site enterprise-level operations.

The Glassdome Platform serves as a comprehensive operations solution that converts real-time data from manufacturing into practical insights aimed at enhancing both operational efficiency and sustainability results. This innovative platform allows manufacturers to gather data directly from their equipment and machinery throughout the facility, ensuring the preservation and duplication of raw data while also aggregating and standardizing various data sources. It also facilitates the identification and rectification of anomalies and provides automated reporting along with intuitive dashboards to enhance decision-making accuracy. Featuring capabilities such as real-time data integration, sophisticated analytics, customizable dashboards, automated reporting, and a scalable deployment model, the platform effectively manages both production oversight and assessments of product carbon footprints. Users can monitor critical metrics including machine downtime, overall equipment effectiveness (OEE), scrap rates, quality challenges, and disruptions in staffing and inventory, ensuring comprehensive operational awareness. Ultimately, the Glassdome Platform empowers manufacturers to make informed decisions that align with both their operational goals and sustainability commitments.

Skyland PIMS® offers a comprehensive solution for managing both product and process data from end to end. This collaborative platform is designed for both emerging and established global drug sponsors and contract manufacturing organizations (CMOs), enabling them to effectively handle essential development, manufacturing, and quality information. With its cloud-based architecture and validatable software, the system ensures quick implementation and reduced total cost of ownership (TCO). It allows users to maintain data consistency, comprehension, and oversight throughout the supply chain, resulting in quicker and more effective scale-ups, technological transfers, and commercial launches. Users can easily capture batch information and utilize summary dashboards for effective data monitoring, release tracking, analysis, and reporting. The platform also simplifies the management of product and process specifications along with target control limits while enabling effortless audit trail creation. Furthermore, it seamlessly integrates batch and limits data to generate insightful process analysis and control charts. Compliance with CPV/APR reporting requirements is made straightforward, all while maintaining a persistent library of product and process data that supports transparency and integrity across global networks. By streamlining data management throughout the product lifecycle and supply chain, Skyland PIMS® enhances operational efficiency and collaboration among stakeholders. This innovative approach not only improves regulatory compliance but also fosters a culture of continuous improvement within organizations.

Mareana, a cloud-based Enterprise AI Platform, connects siloed data in manufacturing and enables contextualization, processing and predictive analytics in real-time to drive insightful business decision. Mareana Manufacturing Intelligence is a powerful tool that helps small, large, and medium-sized enterprises increase yield, unlock capital, and comply with regulatory requirements. The Mareana Intelligence Platform offers the following benefits: - Connect your data in one place, such as paper batch records, CMO process data, and unstructured data - Create Product Generatives in Real-Time, and get Granular Product Details, Process Anomalies and Variations, as well as New Data Impact Analytics - Unlock Capital by releasing On Hold Batches, Improving yield, and reducing Up-stream/Down-stream Non-Conformances - Execute Compliance Files Flawlessly, by ensuring full reporting, leveraging data sources and reducing errors. Three of the top ten pharmaceutical companies in the US use Mareana's platform for CPV & CMC.

evoML enhances the efficiency of developing high-quality machine learning models by simplifying and automating the comprehensive data science process, enabling the conversion of raw data into meaningful insights in mere days rather than several weeks. It takes charge of vital tasks such as automatic data transformation that identifies anomalies and rectifies imbalances, employs genetic algorithms for feature engineering, conducts parallel evaluations of multiple model candidates, optimizes using multi-objective criteria based on custom metrics, and utilizes GenAI technology for generating synthetic data, which is especially useful for swift prototyping while adhering to data privacy regulations. Users maintain complete ownership of and can modify the generated model code, facilitating smooth deployment as APIs, databases, or local libraries, thereby preventing vendor lock-in and promoting clear, auditable workflows. Additionally, evoML equips teams with user-friendly visualizations, interactive dashboards, and detailed charts to detect patterns, outliers, and anomalies across various applications, including anomaly detection, time-series forecasting, and fraud prevention. With its robust features, evoML not only accelerates the modeling process but also empowers users to make data-driven decisions with confidence.

Analyzing time-series data is crucial for the daily functions of numerous businesses. Common applications involve assessing consumer foot traffic and conversion rates for retailers, identifying anomalies in data, discovering real-time correlations within sensor information, and producing accurate recommendations. With the Cloud Inference API Alpha, businesses can derive real-time insights from their time-series datasets that they input. This tool provides comprehensive details about API query results, including the various groups of events analyzed, the total number of event groups, and the baseline probability associated with each event returned. It enables real-time streaming of data, facilitating the computation of correlations as events occur. Leveraging Google Cloud’s robust infrastructure and a comprehensive security strategy that has been fine-tuned over 15 years through various consumer applications ensures reliability. The Cloud Inference API is seamlessly integrated with Google Cloud Storage services, enhancing its functionality and user experience. This integration allows for more efficient data handling and analysis, positioning businesses to make informed decisions faster.

The PathWave Manufacturing Analytics platform merges test and measurement proficiency with data science and big data engineering, delivering practical insights across all tiers of your organization in the forthcoming smart factory landscape. By leveraging advanced big data analytics, you can enhance yield, reduce retesting and handling, and diminish the costs associated with poor quality. This innovative approach not only accelerates your Return on Investment but also improves overall business performance through unique analytics. Additionally, it enables real-time predictions of potential quality problems during manufacturing, utilizing optimized machine learning models for anomaly detection. Users can conveniently save their workspace and access a personalized dashboard in real-time from any location. Moreover, the platform offers no-code, specially designed diagnostic tools and visualizations that cater to operators, technicians, and engineers at every level. This comprehensive solution empowers teams to make informed decisions swiftly and enhances collaboration across departments.

Vanti’s manufacturing analytics stands out as a powerful tool for modern plant professionals. It integrates data from various manufacturing sources, resulting in an automated and user-friendly platform for generating manufacturing insights. By leveraging sophisticated natural language processing, Vanti translates intricate production patterns into straightforward insights that users can act upon. This approach streamlines the data exploration process, making it feel as effortless as having a chat. Users can engage with their data using simple, conversational queries, which enhances the overall experience. In addition, the platform automatically produces detailed visual representations like charts and highlights, enriching the understanding of the data. All of these features are seamlessly integrated into an easy-to-navigate user interface, ensuring that it remains accessible to individuals regardless of their technical background. With Vanti’s advanced analytics, manufacturing professionals can achieve a thorough comprehension of plant operations, ultimately leading to improved decision-making and productivity. This holistic understanding can significantly contribute to the optimization of manufacturing processes.

VictoriaMetrics Anomaly Detection, a service which continuously scans data stored in VictoriaMetrics to detect unexpected changes in real-time, is a service for detecting anomalies in data patterns. It does this by using user-configurable models of machine learning. VictoriaMetrics Anomaly Detection is a key tool in the dynamic and complex world system monitoring. It is part of our Enterprise offering. It empowers SREs, DevOps and other teams by automating the complex task of identifying anomalous behavior in time series data. It goes beyond threshold-based alerting by utilizing machine learning to detect anomalies, minimize false positives and reduce alert fatigue. The use of unified anomaly scores and simplified alerting mechanisms allows teams to identify and address potential issues quicker, ensuring system reliability.

Manufacturing Test & Repair Data can be used to increase internal efficiency, reduce warranty claims, and improve supply chain collaboration. WATS is a Manufacturing Intelligence Solution for Electronics Manufacturers of all sizes, in the following industries: industrial electronics, consumer electronics and medical instrumentation. WATS allows you to access global data from both your sub-contracted and internal manufacturing. Any test or repair data format. It allows you to quickly identify the most common failures and issues across multiple dimensions. True First Pass Yield for products and factories, revisions and test stations, OEE/CPK, dashboards++ WATS offers detailed test and repair data analytics as well as customizable alarming capabilities, operator interfaces and detailed test asset maintenance management. It also features a centralized distribution mechanism that distributes properties such a test software, unit firmware and MAC addresses.

The RemoteAware™ GenAI Analytics Platform for IoT revolutionizes the interpretation of intricate sensor and device data streams by delivering clear and actionable insights through cutting-edge generative AI techniques. This platform is capable of ingesting and normalizing massive volumes of diverse IoT data sourced from edge gateways, cloud APIs, or remote assets, utilizing scalable AI pipelines to identify anomalies, predict equipment malfunctions, and produce prescriptive recommendations articulated in straightforward narratives. With a cohesive, web-based dashboard, users benefit from immediate access to crucial performance metrics, customizable alerts, and notifications based on set thresholds, along with the ability to dynamically drill down for time-series analysis. Additionally, the platform's generative summary reports distill extensive datasets into succinct operational briefs, while its capabilities in root-cause analysis and what-if simulations support proactive maintenance and optimal resource distribution. Ultimately, this platform empowers organizations to make data-driven decisions efficiently and effectively.

This section presents products that facilitate alarm notifications derived from various data sources. The UCME-OPC connects to numerous OPC servers, whereas the UCME-SmartConnector interfaces with Schneider Electric’s EcoStruxure building operation systems. Both solutions provide a range of multi-channel notification options, including SMS, WhatsApp, VoIP, push notifications, voice-over-telephony, and email. These products seamlessly integrate with various systems such as SCADA, HMI, DCS, BMS, historians, and OPC servers. Users can effortlessly import and manage alarms, recipients, and escalation procedures using Microsoft Excel, which helps optimize both time and financial resources. Additionally, the alarm snapshots feature compiles all relevant information into a single message for convenience. Furthermore, this section also highlights products designed for efficient data transfer. By utilizing the OPC Client/Server model, these communication tools can be integrated into Schneider Electric’s EcoStruxure Building Operation systems, allowing for connectivity with third-party OPC servers and clients for enhanced data management. This interconnectedness not only streamlines operations but also improves overall system efficiency and reliability.

Visplore is a visual analytics and industrial data analysis software solution that helps engineers perform systematic root cause analysis and time series analysis across complex process and production data. Visplore belongs to the categories of data analysis, industrial analytics, and visual analytics software. It is designed for manufacturing companies and process industries that need to investigate KPI deviations, production losses, quality issues, or energy inefficiencies. Typical users include process engineers, production managers, quality engineers, and operational excellence teams working with IT/OT data landscapes. The software supports use cases such as troubleshooting, deviation analysis, performance benchmarking, and structured visual analytics process optimization across sites and production units. Compared to other data analysis tools such as Seeq and TrendMiner, Visplore is built for on-premise deployments and for everyday engineering use, making industrial data analysis accessible, repeatable, and ready for action.

The Environmental Management system we offer is exceptionally suited for Ministries focused on Agriculture, Natural Resources, and the Environment. It adeptly handles Geospatial Information, time-series data, licenses, permits, applications, and ensures the integrity of quality data pertaining to water, land, and air. The EDAMS Government Environmental Management system is particularly beneficial for these sectors, as it streamlines the management of essential data. By facilitating integration at various levels—database, business process, and transaction—it effectively prevents data duplication and supports demand management. Additionally, EDAMS products feature an embedded GIS while also providing seamless access to ESRI ArcGIS, Quantum GIS (QGIS), and SuperMap GIS. Furthermore, the modular design of the EDAMS system allows for scalable implementation, making it adaptable to the evolving needs and capacity growth of the organization. This flexibility ensures that as the organization's requirements expand, the system can grow alongside them, maintaining efficiency and effectiveness.

BeakerX is an extensive suite of kernels and enhancements designed for the Jupyter interactive computing platform. It offers support for the JVM, Spark clusters, and polyglot programming, alongside features like interactive visualizations, tables, forms, and publishing capabilities. Each of BeakerX's supported JVM languages, in addition to Python and JavaScript, is equipped with APIs for generating interactive time-series, scatter plots, histograms, heatmaps, and treemaps. The interactive widgets retain their functionality in both saved notebooks and those shared online, featuring specialized tools for managing large datasets, nanosecond precision, zooming capabilities, and export options. Additionally, BeakerX's table widget seamlessly integrates with pandas data frames, enabling users to easily search, sort, drag, filter, format, select, graph, hide, pin, and export data to CSV or clipboard, facilitating quick connections to spreadsheets. Furthermore, BeakerX includes a Spark magic interface, complete with graphical user interfaces for managing configuration, monitoring status and progress, and interrupting Spark jobs, allowing users the flexibility to either utilize the GUI or programmatically create their own SparkSession. In this way, it significantly enhances the efficiency and usability of data processing and analysis tasks within the Jupyter environment.

Robyn is a cutting-edge, open-source Marketing Mix Modeling (MMM) tool created by Meta’s Marketing Science team for experimental purposes. It aims to assist advertisers and analysts in constructing thorough, data-driven models that assess how various marketing channels affect business results, such as sales and conversions, while ensuring privacy through aggregated data. Instead of depending on tracking individual users, Robyn delves into historical time-series data by integrating marketing expenditure or reach information—encompassing ads, promotions, and organic initiatives—with performance indicators to evaluate incremental impacts, saturation effects, and carry-over dynamics. The package utilizes a combination of classical statistical techniques and contemporary machine learning methods; it employs ridge regression to mitigate multicollinearity in complex models, performs time-series decomposition to differentiate between trends and seasonal patterns, and incorporates a multi-objective evolutionary algorithm for optimization. This innovative approach allows businesses to gain deeper insights into their marketing effectiveness and make more informed decisions based on robust analysis.

Altair Panopticon Streaming Analytics allows engineers and business users to create, modify, and deploy advanced event processing and data visualization apps with a drag and drop interface. They can connect to any data source, including streaming feeds and time-series database, and develop stream processing programs. They can also design visual user interfaces to give them the perspective they need to make informed decisions based upon large amounts of rapidly changing data.

FlexSim allows you to answer any question about your company with accuracy. It is a powerful simulation tool that was built from the ground up to make simulation simple and easy without sacrificing any functionality or visual appeal. With drag-and-drop controls, easy-to-use features, you can create stunning, detailed models that produce results but make an impact like charts or spreadsheets.

LotusEye offers a cloud-based service for AI-driven anomaly detection that autonomously acquires knowledge of standard behavior from numerical or sensor data provided in CSV format and consistently computes anomaly scores to identify irregularities that could signify faults or unforeseen activities, delivering notifications and visual analytics without necessitating any machine learning expertise from users. The service accommodates both wide-format CSV files, where every row corresponds to sensor readings at specific timestamps, and long-format CSV files that include timestamp, sensor name, and value columns, allowing users to upload their data either through a simple drag-and-drop interface or via an API for automated processing on a scheduled basis. Once an AI model is trained using data from normal operations, users can then input test data to obtain calculated anomaly scores and view these results on dashboards featuring time-series graphs, threshold markers, and filtering options, which assist teams in identifying unusual trends and probing potential concerns swiftly. This streamlined process enhances operational efficiency and empowers teams to act on insights generated by the platform.

Opcenter Intelligence, previously referred to as "Manufacturing Intelligence," is an advanced solution designed for enterprise-level manufacturing analytics, focusing on the evolving transformational technologies that are influencing the future of data analysis within the manufacturing sector, such as mobile internet, cloud technologies, and sophisticated analytics. This platform synthesizes, organizes, and consolidates diverse manufacturing data from various sources within a company, transforming it into a unified and contextualized format that enables immediate and actionable insights. The integrated information encompasses not just process data but also business metrics, operational data, and key performance indicators (KPIs) that are critical to manufacturing operations. By utilizing this solution, organizations can enhance their decision-making processes and drive operational excellence.

Implement sensors tailored for IoT applications and enhance the data collected by integrating it with environmental and control system information. This integration should occur in real-time with enterprise data, facilitating the deployment of predictive algorithms to uncover fresh insights and leverage your data for impactful purposes. Utilize advanced analytics to foresee maintenance issues, gain insights into asset usage, minimize defects, and fine-tune processes. Capitalize on the capabilities of connected devices to provide remote monitoring and diagnostic solutions. Furthermore, use IoT analytics to anticipate safety risks and ensure compliance with regulations, thereby decreasing workplace accidents. Lumada Data Integration allows for the swift creation and expansion of data pipelines, merging information from various sources, including data lakes, warehouses, and devices, while effectively managing data flows across diverse environments. By fostering ecosystems with clients and business associates in multiple sectors, we can hasten digital transformation, ultimately generating new value for society in the process. This collaborative approach not only enhances innovation but also leads to sustainable growth in an increasingly interconnected world.

dataPARC is a self-service industrial data visualization & analytics toolkit designed for process manufacturers seeking to improve quality, increase yield, & optimize their operations. Collect, connect, & analyze data from across the plant with dataPARC’s process data analytics & visualization platform. Solve challenging process & product quality issues with simple, yet powerful trending & diagnostic analytics tools. Build sophisticated dashboards and displays to monitor processes & share production KPIs across your enterprise. Leverage artificial intelligence (AI) and machine learning to drive continuous improvement & increase margins via predictive modelling.

The Quartic AI platform enables businesses to tackle the hurdles associated with implementing advanced manufacturing technologies, allowing them to reach optimal operational efficiency more quickly. Regardless of whether your manufacturing data resides in a cloud data lake or at the edge, Quartic AI seamlessly integrates with your data, transforming it into smart, analytics-ready information enriched with dynamic context. Its automated machine-learning capabilities empower users to create AI applications through problem-solving workflows, while also incorporating complex event processing to facilitate the deployment of streaming analytics within a tested and reliable microservices architecture. By utilizing flexible and familiar industrial workflows, the platform minimizes customization efforts, promoting rapid enterprise-wide scaling, enhancing IT-OT alignment, and accelerating overall adoption. Designed specifically to expedite and offer scalable IIoT and AI solutions, this platform provides a comprehensive, edge-to-enterprise full-stack solution that prioritizes the needs of operational technology users. Begin your journey with an asset and evolve into a smart enterprise, unlocking new levels of efficiency and innovation!

SensorCloud stands out as an innovative platform for storing, visualizing, and remotely managing sensor data, utilizing robust cloud computing technologies to ensure exceptional scalability, quick data visualization, and customizable analytical capabilities. Among its key features are FastGraph, MathEngine®, LiveConnect, and the OpenData API, all designed to enhance user experience. The platform enables users to effortlessly construct dashboards for data visualization, ranging from straightforward Timeseries Graph widgets to more complex configurations featuring Radial Gauges, Text Charts, Linear Gauges, FFTs, and Statistics. Given that SensorCloud accommodates unlimited data uploads and LORD's sensors operate at very high sampling rates, the ability to swiftly visualize extensive datasets is crucial. Our search for an existing application that could manage substantial data volumes was unfruitful; thus, we developed a proprietary algorithm tailored to meet our unique needs and challenges in handling large-scale sensor data. Ultimately, this dedication to innovation ensures that SensorCloud remains a leader in the realm of sensor data management.

Plutoshift’s Operational Data Platform (ODP) offers automated performance tracking and predictive analysis aimed at optimizing physical infrastructure, enhancing efficiency, minimizing costs and waste, and fostering the development of more sustainable and resilient businesses. The most significant hurdle in extracting value often lies in the initial stages of data extraction and processing. To address this, Plutoshift effectively ingests, processes, and organizes all data from infrastructure, business operations, and even external sources, thereby establishing a solid foundation for actionable insights. The platform fully automates and manages the entire data pipeline, eliminating the need for extra IT personnel. With Plutoshift, organizations gain a continuous and comprehensive view of their operations at various levels, including workflow, site, and enterprise. Operators can instantly access trends and key performance indicators (KPIs) for all processes and assets, enabling swift decision-making. Additionally, the system features customizable alerts, response tracking, and detailed contextual reports, empowering teams to quickly spot issues, avert potential downtimes, and identify the underlying causes of problems. This proactive approach not only enhances operational efficiency but also supports strategic decision-making for long-term success.