Alternatives to Avalor

The fundamental technology that powers contemporary solutions for data integration and management is designed to swiftly link various structured and unstructured data sources. It allows for the comprehensive cataloging of your entire data environment, ensuring that data remains within its original sources and is retrieved as needed, eliminating the requirement for duplicate copies. Users can construct data models tailored to their needs, even when drawing from multiple data sources, while also concealing the intricacies of back-end systems from end users. The virtual model can be securely accessed and utilized through standard SQL alongside other formats such as REST, SOAP, and OData, promoting easy access to diverse data types. It features complete data integration and modeling capabilities, along with an Active Data Catalog that enables self-service for data and metadata exploration and preparation. Furthermore, it incorporates robust data security and governance measures, ensures rapid and intelligent execution of data queries, and provides real-time data delivery in various formats. The system also supports the establishment of data marketplaces and effectively decouples business applications from data systems, paving the way for more informed, data-driven decision-making strategies. This innovative approach enhances the overall agility and responsiveness of organizations in managing their data assets.

Domo puts data to work for everyone so they can multiply their impact on the business. Underpinned by a secure data foundation, our cloud-native data experience platform makes data visible and actionable with user-friendly dashboards and apps. Domo helps companies optimize critical business processes at scale and in record time to spark bold curiosity that powers exponential business results.

Skybox's risk-based vulnerability management approach starts with new vulnerability data from your entire network, including physical IT, multicloud and operational technology (OT). Skybox assesses vulnerabilities without the need to scan. Skybox uses a variety of sources including asset and patch management systems as well as network devices. Skybox also collects, centralizes and merges data from multiple scanners to provide you with the most accurate vulnerability assessments. - Centralize and improve vulnerability management processes, from discovery to prioritization to remediation - Harness power vulnerability and asset data, network topology, and security controls - Use network simulation and attack simulation to identify exposed vulnerabilities - Augment vulnerability data by incorporating intelligence on the current threat environment - Learn your best remedy option, including patching and IPS signatures, as well as network-based changes

Manta is a unified data lineage platform that serves as the central hub of all enterprise data flows. Manta can construct lineage from report definitions, custom SQL code, and ETL workflows. Lineage is analyzed based on actual code, and both direct and indirect flows can be visualized on the map. Data paths between files, report fields, database tables, and individual columns are displayed to users in an intuitive user interface, enabling teams to understand data flows in context.

Numerous products are available that assist businesses in this endeavor, but if your main goals are to build a data-driven organization while maximizing efficiency and minimizing costs, the only option worth considering is Fraxses, the leading distributed data platform in the world. Fraxses gives clients on-demand access to data, providing impactful insights through a solution that supports either a data mesh or data fabric architecture. Imagine a data mesh as a framework that overlays various data sources, linking them together and allowing them to operate as a cohesive unit. In contrast to other platforms focused on data integration and virtualization, Fraxses boasts a decentralized architecture that sets it apart. Although Fraxses is fully capable of accommodating traditional data integration methods, the future is leaning towards a novel approach where data is delivered directly to users, eliminating the necessity for a centrally managed data lake or platform. This innovative perspective not only enhances user autonomy but also streamlines data accessibility across the organization.

DataBahn is an advanced platform that harnesses the power of AI to manage data pipelines and enhance security, streamlining the processes of data collection, integration, and optimization from a variety of sources to various destinations. Boasting a robust array of over 400 connectors, it simplifies the onboarding process and boosts the efficiency of data flow significantly. The platform automates data collection and ingestion, allowing for smooth integration, even when dealing with disparate security tools. Moreover, it optimizes costs related to SIEM and data storage through intelligent, rule-based filtering, which directs less critical data to more affordable storage options. It also ensures real-time visibility and insights by utilizing telemetry health alerts and implementing failover handling, which guarantees the integrity and completeness of data collection. Comprehensive data governance is further supported by AI-driven tagging, automated quarantining of sensitive information, and mechanisms in place to prevent vendor lock-in. In addition, DataBahn's adaptability allows organizations to stay agile and responsive to evolving data management needs.

Arundo Enterprise presents a versatile and modular software suite designed for the development of data products tailored for individuals. By linking real-time data with machine learning and various analytical frameworks, we ensure that the outcomes of these models directly inform business strategies. The Arundo Edge Agent facilitates industrial connectivity and analytics, even in harsh, remote, or non-connected settings. With Arundo Composer, data scientists can effortlessly deploy desktop analytical models into the Arundo Fabric cloud environment using just one command. Additionally, Composer empowers organizations to create and manage live data streams, seamlessly integrating them with existing data models. Serving as the central cloud-based hub, Arundo Fabric supports the management of deployed machine learning models, data streams, and edge agent oversight while offering streamlined access to further applications. Arundo's impressive range of SaaS products is designed to maximize return on investment, and each solution comes equipped with a fundamental functionality that capitalizes on the inherent strengths of Arundo Enterprise. The comprehensive nature of these offerings ensures that companies can leverage data more effectively to drive decision-making and innovation.

Fabric allows you to effortlessly integrate your contemporary IT landscape with essential data and transaction systems, ensuring a rapid connection. In our intricate world, the complexity of IT systems is a reflection of various factors. After numerous years of advancement, shifts in the market, technological innovations, and numerous mergers and acquisitions, CIOs often find themselves navigating an overwhelming level of system intricacy. This overwhelming complexity consumes a significant share of IT budgets and hinders IT departments from effectively addressing the immediate demands of the business. While it's unrealistic to expect an immediate resolution to this complexity, Adaptigent’s Adaptive Integration Fabric offers a protective barrier against the challenges posed by critical data sources, enabling your organization to fully harness the capabilities of secure, stable, and information-rich legacy systems that form its foundation. By employing this innovative solution, businesses can focus more on strategic objectives rather than getting bogged down by convoluted system issues.

Aggua serves as an augmented AI platform for data fabric that empowers both data and business teams to access their information, fostering trust while providing actionable data insights, ultimately leading to more comprehensive, data-driven decision-making. Rather than being left in the dark about the intricacies of your organization's data stack, you can quickly gain clarity with just a few clicks. This platform offers insights into data costs, lineage, and documentation without disrupting your data engineer’s busy schedule. Instead of investing excessive time on identifying how a change in data type might impact your data pipelines, tables, and overall infrastructure, automated lineage allows data architects and engineers to focus on implementing changes rather than sifting through logs and DAGs. As a result, teams can work more efficiently and effectively, leading to faster project completions and improved operational outcomes.

Talend Data Fabric's cloud services are able to efficiently solve all your integration and integrity problems -- on-premises or in cloud, from any source, at any endpoint. Trusted data delivered at the right time for every user. With an intuitive interface and minimal coding, you can easily and quickly integrate data, files, applications, events, and APIs from any source to any location. Integrate quality into data management to ensure compliance with all regulations. This is possible through a collaborative, pervasive, and cohesive approach towards data governance. High quality, reliable data is essential to make informed decisions. It must be derived from real-time and batch processing, and enhanced with market-leading data enrichment and cleaning tools. Make your data more valuable by making it accessible internally and externally. Building APIs is easy with the extensive self-service capabilities. This will improve customer engagement.

The primary obstacle in expanding AI-driven decision-making lies in the underutilization of data. IBM Cloud Pak® for Data provides a cohesive platform that integrates a data fabric, enabling seamless connection and access to isolated data, whether it resides on-premises or in various cloud environments, without necessitating data relocation. It streamlines data accessibility by automatically identifying and organizing data to present actionable knowledge assets to users, while simultaneously implementing automated policy enforcement to ensure secure usage. To further enhance the speed of insights, this platform incorporates a modern cloud data warehouse that works in harmony with existing systems. It universally enforces data privacy and usage policies across all datasets, ensuring compliance is maintained. By leveraging a high-performance cloud data warehouse, organizations can obtain insights more rapidly. Additionally, the platform empowers data scientists, developers, and analysts with a comprehensive interface to construct, deploy, and manage reliable AI models across any cloud infrastructure. Moreover, enhance your analytics capabilities with Netezza, a robust data warehouse designed for high performance and efficiency. This comprehensive approach not only accelerates decision-making but also fosters innovation across various sectors.

Gathr is a Data+AI fabric, helping enterprises rapidly deliver production-ready data and AI products. Data+AI fabric enables teams to effortlessly acquire, process, and harness data, leverage AI services to generate intelligence, and build consumer applications— all with unparalleled speed, scale, and confidence. Gathr’s self-service, AI-assisted, and collaborative approach enables data and AI leaders to achieve massive productivity gains by empowering their existing teams to deliver more valuable work in less time. With complete ownership and control over data and AI, flexibility and agility to experiment and innovate on an ongoing basis, and proven reliable performance at real-world scale, Gathr allows them to confidently accelerate POVs to production. Additionally, Gathr supports both cloud and air-gapped deployments, making it the ideal choice for diverse enterprise needs. Gathr, recognized by leading analysts like Gartner and Forrester, is a go-to-partner for Fortune 500 companies, such as United, Kroger, Philips, Truist, and many others.

Hyly.AI is a cutting-edge platform that harnesses the power of artificial intelligence for marketing, leasing, and data intelligence, specifically tailored to the multifamily real estate sector, with the aim of consolidating disparate systems and revolutionizing the management of operations, marketing, and tenant interaction. Central to its functionality is the “Intelligence Fabric,” which integrates artificial intelligence, business intelligence, and human intelligence into a cohesive operating system, seamlessly linking data from various sources such as websites, CRMs, property management systems, and marketing tools into a single, precise, centralized perspective. This comprehensive data infrastructure empowers teams to monitor the entire renter experience from the initial contact to lease signing, rectify attribution challenges, and make quicker, more dependable decisions grounded in actual performance metrics. Among its innovative features are AI-enhanced solutions like virtual leasing assistants available around the clock to engage with potential renters, automated marketing processes that tailor communication across multiple platforms, and immediate notifications that prompt necessary actions. By streamlining these processes, Hyly.AI not only boosts operational efficiency but also enhances overall tenant satisfaction and engagement throughout the leasing journey.

Veracity Data Fabric serves as a secure environment for managing data in both cloud and on-premise settings. It enables users to centralize all types of information, ranging from data streams to discrete data objects, facilitated by secure sharing options. Users have the flexibility to either work with their own data or integrate it with various other datasets, leaving the choice entirely up to them. Our platform offers robust security technology and access to a wide array of data and analytics providers relevant to multiple industries, allowing users to determine how and when they engage with these resources. Data sharing is managed through SAS (shared access signature) keys, which enable users to control access permissions effectively. Additionally, all activities concerning the data stored in the container are logged in a ledger, allowing the container owner to monitor and review actions. Importantly, these keys can only be distributed to other users who have been authorized on the platform, ensuring a high level of security and data integrity. This comprehensive approach empowers users to maintain control over their data while fostering collaboration when desired.

The rapid expansion of consumer data over the last ten years is now being eclipsed by a remarkable surge in business data, creating both unique opportunities and significant challenges for companies and cloud service providers alike. This situation necessitates a revolutionary approach to developing and scaling storage infrastructure. Our vision for this evolution is embodied in the Infinidat Elastic Data Fabric, which reimagines enterprise storage, transitioning from conventional hardware appliances to flexible, high-performance pools of digital storage that are both highly reliable and cost-effective, with effortless data mobility across data centers and public cloud environments. Today, professionals in various industries are grappling with a similar challenge due to the wave of digital transformation influencing their operations. As traditional hardware-based storage solutions are becoming prohibitively expensive and increasingly difficult to manage, they also fall drastically short of the requirements for the data-centric future. Consequently, it is imperative for these systems to transform into innovative software-defined on-premises enterprise storage clouds to meet the demands of the evolving digital landscape. This shift not only enhances efficiency but also positions organizations to better harness the power of their data.

K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.

A comprehensive and secure business data layer that delivers immediate insights for both business and data teams is essential. Stratio's generative AI data fabric encompasses the entire data management lifecycle, including data discovery, governance, utilization, and eventual disposal. In many organizations, data is scattered across various divisions, with different applications employed for distinct tasks. Stratio harnesses the power of AI to locate and access all your data, regardless of whether it resides on-premises or in the cloud. This ensures that your organization handles data in an appropriate manner. If you cannot visualize your data as soon as it is generated, you risk falling behind your customers' needs. Conventional data infrastructures often require hours to process customer data, hindering responsiveness. Stratio, however, enables real-time access to 100% of your data without necessitating its relocation, allowing you to respond swiftly while maintaining crucial context. Ultimately, by integrating operational and informational aspects within a collaborative platform, organizations can transition to leveraging instant extended AI capabilities for enhanced decision-making and agility. Embracing such a unified approach will empower businesses to thrive in a data-driven landscape.

Manage, oversee, control, and safeguard the applications, data, and IT resources essential for your business, spanning from edge to cloud. HPE Ezmeral propels digital transformation efforts by reallocating time and resources away from IT maintenance towards innovation. Update your applications, streamline your operations, and leverage data to transition from insights to impactful actions. Accelerate your time-to-value by implementing Kubernetes at scale, complete with integrated persistent data storage for modernizing applications, whether on bare metal, virtual machines, within your data center, on any cloud, or at the edge. By operationalizing the comprehensive process of constructing data pipelines, you can extract insights more rapidly. Introduce DevOps agility into the machine learning lifecycle while delivering a cohesive data fabric. Enhance efficiency and agility in IT operations through automation and cutting-edge artificial intelligence, all while ensuring robust security and control that mitigate risks and lower expenses. The HPE Ezmeral Container Platform offers a robust, enterprise-grade solution for deploying Kubernetes at scale, accommodating a diverse array of use cases and business needs. This comprehensive approach not only maximizes operational efficiency but also positions your organization for future growth and innovation.

Irion EDM offers a comprehensive, agile, and accountable approach that is ready for data fabric integration. By optimizing costs and leveraging SQL expertise, it provides an open, scalable, and effective framework based on the groundbreaking "declarative" model for managing your entire data lifecycle. You can easily set up your data pipeline to gather, manage, and transform information from various sources such as databases, applications, social media, and APIs. Furthermore, it allows for seamless access to all information without the necessity for specialized extraction or normalization tools. The platform includes an intuitive user editor that simplifies the configuration of business rules, enabling you to classify, enhance, and control all your data while creating a unified, centralized dictionary of data and rules. Users can visualize the outcomes of their data processing, including operational metrics, control statistics, and key performance indicators, through a versatile web dashboard with multiple templates. Additionally, you can define the publication model to select which data assets to share and in what manner, all while entrusting the system with the execution of various processes and intermediary steps, ensuring efficiency and reliability throughout your data management activities. This level of automation and user-friendliness positions Irion EDM as a leading solution for modern data management challenges.

The Vexata VX‑100F harnesses the power of NVMe over fabrics (NVMe-oF) to achieve exceptional economic efficiency and transformative performance. By eliminating unnecessary latency associated with the storage controller, the Vexata architecture ensures consistently high performance at scale, significantly enhancing application response times. This performance is particularly crucial for real-time analytics, which demands substantial data ingestion and processing capabilities; the Vexata Accelerated Data Architecture meets these needs by providing increased throughput and quicker response times. Furthermore, Vexata breaks through the conventional cost/performance limitations with a scalable solid-state storage solution designed to boost both application and analytics ecosystems. Additionally, VX-Cloud stands out as the first and only software-defined platform that caters to every stage of Machine Learning, ensuring optimal performance and scalability for cognitive and AI workloads, all while maintaining cloud-scale economics. With these innovations, Vexata is setting a new standard in the data storage landscape.

Connecting every data source with analytics services on a single AI-powered platform will transform how people access, manage, and act on data and insights. All your data. All your teams. All your teams in one place. Create an open, lake-centric hub to help data engineers connect data from various sources and curate it. This will eliminate sprawl and create custom views for all. Accelerate analysis through the development of AI models without moving data. This reduces the time needed by data scientists to deliver value. Microsoft Teams, Microsoft Excel, and Microsoft Teams are all great tools to help your team innovate faster. Connect people and data responsibly with an open, scalable solution. This solution gives data stewards more control, thanks to its built-in security, compliance, and governance.

Designed specifically for cloud-native environments, EraSearch offers a versatile data fabric that utilizes separate storage and processing capabilities, a genuine zero-schema architecture, and smart indexing to provide a log management solution that scales infinitely while significantly lowering both cost and complexity. Unlike many log management tools built on Elasticsearch, EraSearch was developed from the ground up to address its major shortcomings. By adopting a stateless architecture for its essential components, EraSearch allows for seamless management through Kubernetes, making it a pleasure to operate. The innovative coordination-free ingest method enables EraSearch to manage data at a much lower cost, setting it apart from traditional solutions. Additionally, with EraSearch, you can enjoy a fully automated experience, eliminating any concerns about maintaining the health of your cluster. Ultimately, this cutting-edge approach redefines log management for modern applications.

data.world is a cloud-native service meticulously designed for contemporary data architectures, ensuring seamless management of updates, migrations, and ongoing maintenance. This streamlined setup process is complemented by a vast and expanding ecosystem of pre-built integrations with all major cloud data warehouses. When prompt results are essential, your team should concentrate on addressing genuine business challenges rather than grappling with cumbersome data management software. data.world simplifies the process for all users, not just data experts, enabling them to obtain clear, precise, and prompt answers to various business inquiries. Our platform features a cloud-based data catalog that connects isolated and distributed data to well-known business concepts, fostering a cohesive knowledge base that everyone can access, comprehend, and utilize. Furthermore, beyond our enterprise solutions, data.world hosts the largest collaborative open data community globally, where individuals collaborate on diverse projects ranging from social bot detection to acclaimed data journalism initiatives, promoting innovation and shared learning. This unique environment encourages knowledge sharing and empowers users to leverage data in creative and impactful ways.

Dagster is the cloud-native open-source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. It is the platform of choice data teams responsible for the development, production, and observation of data assets. With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early.

In the contemporary landscape, swiftly identifying potential vulnerabilities, consolidating, enhancing, and ranking them, followed by prompt action, is essential for strengthening our defenses against cyber threats. Maintaining this process as an ongoing effort is equally important. The Bizzy platform bolsters cyber security resilience through its capabilities in prioritization, automation, Big Data analytics, machine learning, and effective vulnerability management, allowing for continuous, rapid, and accurate responses. To effectively combat cyber attacks, it is crucial to be swiftly informed about vulnerabilities, which underscores the significance of the ability to connect the dots and act decisively. This ongoing capability is vital, as it ensures that organizations can adapt and respond to emerging threats. With its focus on prioritization, automation, and comprehensive data analysis, the Bizzy platform enhances the effectiveness of actionable vulnerability management features, thereby significantly contributing to improved security resilience.

The contemporary data workspace transforms the accessibility of your data assets, making everything from data tables to BI reports easily discoverable. With our robust search algorithms and user-friendly browsing experience, locating the right asset becomes effortless. Atlan simplifies the identification of poor-quality data through the automatic generation of data quality profiles. This includes features like variable type detection, frequency distribution analysis, missing value identification, and outlier detection, ensuring you have comprehensive support. By alleviating the challenges associated with governing and managing your data ecosystem, Atlan streamlines the entire process. Additionally, Atlan’s intelligent bots analyze SQL query history to automatically construct data lineage and identify PII data, enabling you to establish dynamic access policies and implement top-notch governance. Even those without technical expertise can easily perform queries across various data lakes, warehouses, and databases using our intuitive query builder that resembles Excel. Furthermore, seamless integrations with platforms such as Tableau and Jupyter enhance collaborative efforts around data, fostering a more connected analytical environment. Thus, Atlan not only simplifies data management but also empowers users to leverage data effectively in their decision-making processes.

Organizations frequently struggle to navigate the swift expansion and accessibility of numerous on-premise and cloud storage solutions within their operations. This often leads to a convoluted environment that is increasingly hard to secure and frequently incurs high costs due to vendor lock-in. Many outdated systems are haphazardly combined, and the hidden expenses associated with vendor lock-in can be substantial. Efficiently and securely utilizing public cloud resources presents its own challenges. A customer-hosted global scale-out software platform exists that empowers enterprises to integrate, safeguard, and bring together multiple on-prem and in-cloud storage providers. It provides a seamless experience through unified virtual namespaces and standard APIs available to enterprise users around the globe. By implementing StorageFabric, organizations can break free from costly vendor dependencies and the intricacies of integration while addressing the significant security risks associated with cloud computing. In addition, StorageFabric serves as a high-performance, low-friction data layer designed to unify, protect, migrate, and commoditize various storage solutions effectively. This innovative approach not only simplifies management but also enhances overall data accessibility and security across the enterprise landscape.

Cybersecurity Help provides tailored and practical services for vulnerability intelligence. We curate our own database of vulnerabilities, gathering and assessing information from diverse sources, and deliver prompt and pertinent notifications about weaknesses in the software you utilize. The term vulnerability intelligence encompasses the understanding and management of security flaws, including their identification, analysis, and resolution. Our insights originate from a variety of contributors, including security specialists, software developers, and passionate individuals. Having examined over 20,000 security vulnerabilities reported by multiple entities, we process an average of around 55 vulnerabilities each day. This sheer amount of data is overwhelming to handle without a dedicated team of security experts. To facilitate this process, the SaaS Vulnerability Scanner is designed to help you identify, oversee, prioritize, and remediate vulnerabilities present in your network infrastructure. By leveraging our services, organizations can significantly enhance their cybersecurity posture and mitigate potential risks effectively.

AtScale streamlines and speeds up business intelligence processes, leading to quicker insights, improved decision-making, and enhanced returns on your cloud analytics investments. It removes the need for tedious data engineering tasks, such as gathering, maintaining, and preparing data for analysis. By centralizing business definitions, AtScale ensures that KPI reporting remains consistent across various BI tools. The platform not only accelerates the time it takes to gain insights from data but also optimizes the management of cloud computing expenses. Additionally, it allows organizations to utilize their existing data security protocols for analytics, regardless of where the data is stored. AtScale’s Insights workbooks and models enable users to conduct Cloud OLAP multidimensional analysis on datasets sourced from numerous providers without the requirement for data preparation or engineering. With user-friendly built-in dimensions and measures, businesses can swiftly extract valuable insights that inform their strategic decisions, enhancing their overall operational efficiency. This capability empowers teams to focus on analysis rather than data handling, leading to sustained growth and innovation.

Realm.Security consolidates extensive security data into a cohesive and intelligent framework. By harnessing the power of AI and advanced data processing technology, we ensure that critical information reaches its intended destination precisely when it is needed. Recognizing the mounting challenges faced by security teams in managing the overwhelming influx of telemetry from an increasing array of tools is paramount. According to CISO’s estimates, alert volumes have surged by as much as 300% to 500% over the last two years. As your attack surface continues to expand, it becomes essential to maintain oversight of current investments while also streamlining the integration of new solutions, necessitating a more effective strategy. Transform your approach from managing scattered data sources to creating a cohesive, intelligent data fabric that enhances your security posture. This evolution not only simplifies data management but also empowers your team to respond more effectively to emerging threats.

SDS2 is a comprehensive software platform designed for steel detailing and connection design, aimed at assisting detailers, fabricators, and structural engineers in producing accurate, fabrication-ready steel models and drawings efficiently through automation and integration. This versatile tool offers a range of modular packages, catering to needs from basic 2D drafting to complete 3D modeling and shop-drawing generation, allowing users to create detailed shop drawings, erection plans, or comprehensive BIM models tailored to their specific requirements. Among its standout features are automated connection design that aligns with framing conditions and fabrication preferences, intelligent clash detection capabilities, and real-time multi-user modeling, which ensures that teams can work together seamlessly without any data conflicts. The platform generates high-quality documentation that adheres to industry codes and provides production-ready outputs suitable for feeding fabrication equipment or facilitating CNC and automated workflows. Furthermore, SDS2 boasts interoperability with leading BIM and fabrication management systems through the use of standard file formats, enhancing its utility and integration in various workflows. By streamlining the detailing process, SDS2 empowers users to improve their efficiency and accuracy in steel construction projects.

FastReactFabric is a fabric-planning solution that connects your fabric buying and cutting operations into one platform. This combination is the only way you can gain the insight you need to track fabric usage and wastage, and plan for complex styles. Factual fabric buying that eliminates excess stock. Exact fabric planning forecasts that meet increasing demand for more complex colors and patterns. Efficient fabric cutting that eliminates bottlenecks to reduce leftovers. FastReactFabric's buy module provides accurate forecasts for fabric buying by applying advanced intelligence. These insights allow you to quickly overcome the challenges posed by new styles, shrinking lead times, and increasing colorways. FastReactFabric's Buy capabilities allow you to keep track of your fabric requirements and book processes.

Safeguard your data comprehensively with a robust, enterprise-level security solution that spans multicloud, hybrid, and on-premises environments, accommodating all types of data. Enhance security measures across diverse platforms while seamlessly discovering and categorizing structured, semi-structured, and unstructured data. Assess and prioritize data risks by considering both incident context and the potential for additional capabilities. Streamline data management through a unified service or dashboard that centralizes oversight. Guard against unauthorized data exposure and prevent breaches effectively. Make data-centric security, compliance, and governance processes simpler and more efficient. Create a consolidated perspective to glean insights on vulnerable data and users, while actively managing a Zero Trust framework and enforcing relevant policies. Leverage automation and workflows to save both time and resources, and ensure support for a wide range of file shares and data repositories, including those in public, private, data center, and third-party cloud environments. Address not only your current requirements but also future integrations as you evolve and expand cloud use cases, thereby enhancing your overall data security strategy. By implementing these measures, you can significantly bolster your organization’s resilience against data-related threats.

The typical vulnerability scanner produces thousands of results. You have to sort, categorize and then remediate each one manually. TraceSecurity understands that effective vulnerability management programs go beyond scanning. TraceSecurity's TraceCSO Vulnerability Management module as well as our flagship TraceInsight Vulnerability Manager offer multiple avenues to vulnerability management. This gives you the ability to search, filter and categorize vulnerabilities. You can then assign tasks to your team and see network vulnerabilities decrease. You can choose to use authenticated or unverified scanning with our Vulnerability Management Software. You can use either to sort, search, filter, and prioritize your results. Our vulnerability library also includes many references to source information. Our platform can be used to assign vulnerabilities to your team, track their progress, and provide feedback.

This integrated solution can perform active, passive, and agent-based assessments. It also allows for flexibility in evaluating risk according to each business. SAINT's remarkable, flexible, and scalable scanning capabilities make it stand out from other solutions in this market. SAINT has partnered up with AWS to allow its customers to benefit from AWS's efficient scanning. SAINT also offers Windows scanning agents for subscribers. Security teams can easily schedule scans, configure them with a lot of flexibility, and fine-tune their settings with advanced options.

Multilayered endpoint security utilizing behavior-based analysis offers robust defenses against both familiar and emerging threats. It provides complete real-time oversight of your entire software inventory, regardless of location. The FortiClient endpoint protection service, tailored for small and medium enterprises, is delivered via the cloud. This cohesive endpoint protection platform delivers automated next-generation threat defense, granting visibility and control over your software and hardware assets within the broader security framework. It enables the identification and remediation of vulnerable or compromised systems throughout your attack surface. As an integral component of the Fortinet Security Fabric, FortiClient connects endpoints to enhance early detection and prevention of sophisticated threats. Security events, including zero-day malware attacks, botnet identifications, and detected vulnerabilities, are communicated instantly. With its comprehensive approach, this solution not only safeguards your assets but also streamlines security management.

Consolidate all Application Security findings, including SAST, DAST, and SCA, while linking them to vulnerabilities in infrastructure and cloud security to achieve a comprehensive perspective on your application's security posture. By normalizing, de-duplicating, and correlating these findings, you can enhance the efficiency of risk mitigation and prioritize issues that have significant business implications. This approach creates a unified source of truth for findings and remediation efforts across various tools, teams, and applications. AppSecOps encompasses the systematic process of detecting, prioritizing, addressing, and preventing security breaches, vulnerabilities, and risks, fully aligned with existing DevSecOps workflows, teams, and tools. Additionally, an AppSecOps platform empowers security teams to expand their capabilities in effectively identifying, addressing, and preventing critical application-level security vulnerabilities and compliance challenges, while also discovering and rectifying any coverage gaps in their strategies. This holistic approach not only strengthens security measures but also fosters a collaborative environment among development and security teams, ultimately leading to improved software quality and resilience.

Enhance your speed and security with Upwind’s cutting-edge cloud security solution. By integrating CSPM with vulnerability scanning and runtime detection & response, your security team can effectively focus on addressing the most significant risks. Upwind stands out as a revolutionary platform designed to tackle the major challenges of cloud security with ease. Utilize immediate data insights to identify genuine risks and determine the most urgent issues that need resolution. Equip your Development, Security, and Operations teams with agile, up-to-the-minute information to boost productivity and quicken response times. With Upwind's innovative behavior-based Cloud Detection and Response, you can proactively counteract emerging threats and prevent cloud-based attacks effectively. In doing so, organizations can ensure a robust security posture in the ever-evolving digital landscape.

PT Application Inspector stands out as the sole source code analyzer that offers top-tier analysis along with efficient tools for the automatic verification of vulnerabilities, which greatly accelerates the report handling process and enhances collaboration between security experts and developers. By integrating static, dynamic, and interactive application security testing (SAST + DAST + IAST), it achieves results that are unmatched in the industry. This tool focuses exclusively on genuine vulnerabilities, allowing users to concentrate on the critical issues that truly require attention. Its distinctive features, such as precise detection, automatic validation of vulnerabilities, filtering capabilities, incremental scanning, and an interactive data flow diagram (DFD) for each identified vulnerability, significantly expedite the remediation process. By minimizing vulnerabilities in the end product, it also reduces the associated repair costs. Furthermore, it enables analysis to be conducted at the earliest phases of software development, ensuring that security is prioritized from the start. This proactive approach not only streamlines development but also enhances the overall quality and security of applications.

Delphix is the industry leader for DataOps. It provides an intelligent data platform that accelerates digital change for leading companies around world. The Delphix DataOps Platform supports many systems, including mainframes, Oracle databases, ERP apps, and Kubernetes container. Delphix supports a wide range of data operations that enable modern CI/CD workflows. It also automates data compliance with privacy regulations such as GDPR, CCPA and the New York Privacy Act. Delphix also helps companies to sync data between private and public clouds, accelerating cloud migrations and customer experience transformations, as well as the adoption of disruptive AI technologies.

Etleap was created on AWS to support Redshift, snowflake and S3/Glue data warehouses and data lakes. Their solution simplifies and automates ETL through fully-managed ETL as-a-service. Etleap's data wrangler allows users to control how data is transformed for analysis without having to write any code. Etleap monitors and maintains data pipes for availability and completeness. This eliminates the need for constant maintenance and centralizes data sourced from 50+ sources and silos into your database warehouse or data lake.

Enhance your security framework for open source by implementing automated best practices, creating an integrated workflow that benefits both security and development teams. This cloud-native security solution minimizes risk and safeguards revenue while allowing developers to maintain their pace. The dependency firewall effectively isolates harmful open source elements before they can affect developers and infrastructure, thus preserving data integrity, company assets, and brand reputation. Our comprehensive policy engine examines various threat indicators, including recognized vulnerabilities, licensing details, and rules defined by the customer. Gaining visibility into the open-source components utilized in applications is essential for mitigating potential vulnerabilities. The Software Composition Analysis (SCA) and dashboard reporting provide stakeholders with a complete perspective and prompt updates regarding the existing environment. Additionally, you can detect the introduction of new open-source licenses within the codebase and automatically monitor compliance issues involving licenses, effectively managing any problematic or unlicensed packages. By adopting these measures, organizations can significantly improve their ability to respond to security challenges in real time.

Deliver comprehensive operational insights that encompass entire security systems, including physical, electronic, and human elements, as well as individual components. By merging and analyzing information from electronic security tools such as CCTV and access control systems with data from CRM, ERP, or IT business platforms, organizations can achieve holistic operational intelligence and sophisticated actionable analytics. This integration of data from CCTV, access control, perimeter intrusion systems, and SIEM enhances overall security posture. Additionally, harness the potential of machine data to provide enhanced intelligence for CCTV systems utilized in healthcare and aged care facilities. Implement behavioral analytics to monitor student movements effectively, thereby increasing customer safety while facilitating coordination among employees and security personnel. This approach not only strengthens security measures but also enhances situational awareness across various environments.

Integrates and correlates vulnerability scanner data and multiple exploit feeds with business and IT factors to prioritize cyber security risk. Red Teams, CISOs, and Vulnerability Assessment Teams can reduce time-to fix, prioritize, and report risks. This tool is used by Governments, Military and E-Commerce businesses.

SAP Datasphere serves as a cohesive data experience platform within the SAP Business Data Cloud, aimed at delivering smooth and scalable access to essential business data. By integrating information from both SAP and non-SAP systems, it harmonizes various data environments, facilitating quicker and more precise decision-making. The platform features capabilities such as data federation, cataloging, semantic modeling, and real-time data integration, ensuring organizations maintain consistent and contextualized data across both hybrid and cloud settings. Furthermore, SAP Datasphere streamlines data management by retaining business context and logic, thus providing an all-encompassing view of data that not only drives innovation but also optimizes business processes. This integration ultimately empowers businesses to leverage their data more effectively in an increasingly competitive landscape.