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Optimize your existing Big Data Infrastructure for High Performance BI and Analytics


Optimize performance without compromising on availability. Analyze structured data, transactional data, and other “hot” data as they happen – even before they are stored.

Flexible Processing

Extensible architecture leverages Best-of-Breed Engines and supports Near-App, Big Data, Operational Data, and Advanced Analytics.

Ease of Use

Simplifying access to your data for high speed analytics bridging the performance gap between BI and Big Data with Seamless Integration for your existing infrastructure.

Use Cases

Ampool’s lightning-fast data store makes it suitable for any application, enabling quicker insights and faster query response. Some common use cases include:

Latest Blogs

Ampool Usage Patterns (Part 3): High-Speed Data Mart for Hadoop Data Lakes

From a nascent Apache project in 2006 to being commercially supported data platform by two public companies, Apache Hadoop has…

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Ampool Usage Patterns (Part 2): Application Acceleration

Almost all applications are powered by one or more persistent data stores. Relational OLTP DBMSs have been most often used…

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Ampool Usage Patterns (Part 1): Near-App Analytics

Wishing our blog readers a very happy new year 2018. In the first blog series of this new year, we…

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Ampool supports integrations at various levels: low-level language bindings, interfaces with compute and storage frameworks, and full-stack data platforms.

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