Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Actian Avalanche is a hybrid cloud data warehouse service that is fully managed and engineered to achieve exceptional performance and scalability across various aspects, including data volume, the number of concurrent users, and the complexity of queries, all while remaining cost-effective compared to other options. This versatile platform can be implemented on-premises or across several cloud providers like AWS, Azure, and Google Cloud, allowing organizations to transition their applications and data to the cloud at a comfortable rate. With Actian Avalanche, users experience industry-leading price-performance right from the start, eliminating the need for extensive tuning and optimization typically required by database administrators. For the same investment as other solutions, users can either enjoy significantly enhanced performance or maintain comparable performance at a much lower cost. Notably, Avalanche boasts a remarkable price-performance advantage, offering up to 6 times better efficiency than Snowflake, according to GigaOm’s TPC-H benchmark, while outperforming many traditional appliance vendors even further. This makes Actian Avalanche a compelling choice for businesses seeking to optimize their data management strategies.
Description
Fully compatible with Netezza, this solution offers a streamlined command-line upgrade option. It can be deployed on-premises, in the cloud, or through a hybrid model. The IBM® Netezza® Performance Server for IBM Cloud Pak® for Data serves as a sophisticated platform for data warehousing and analytics, catering to both on-premises and cloud environments. With significant improvements in in-database analytics functions, this next-generation Netezza empowers users to engage in data science and machine learning with datasets that can reach petabyte levels. It includes features for detecting failures and ensuring rapid recovery, making it robust for enterprise use. Users can upgrade existing systems using a single command-line interface. The platform allows for querying multiple systems as a cohesive unit. You can select the nearest data center or availability zone, specify the desired compute units and storage capacity, and initiate the setup seamlessly. Furthermore, the IBM® Netezza® Performance Server is accessible on IBM Cloud®, Amazon Web Services (AWS), and Microsoft Azure, and it can also be implemented on a private cloud, all powered by the capabilities of IBM Cloud Pak for Data System. This flexibility enables organizations to tailor the deployment to their specific needs and infrastructure.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
Amazon Web Services (AWS)
Microsoft Azure
Semarchy xDI
Adobe Marketo Engage
Apache Kafka
Captain Compliance
Datametica
DbVisualizer
IBM Cloud
Integrations
Amazon S3
Amazon Web Services (AWS)
Microsoft Azure
Semarchy xDI
Adobe Marketo Engage
Apache Kafka
Captain Compliance
Datametica
DbVisualizer
IBM Cloud
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Actian
Founded
2005
Country
United States
Website
www.actian.com/analytic-database/avalanche/
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/netezza
Product Features
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge
Product Features
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge