The In-Memory Analytics Engine

ActivePivot takes full advantage of in-memory computing technology to enable in-memory analytics in real time with zero latency. Primarily, this includes:

• Highly-efficient memory usage. When performing in-memory analytics, ActivePivot stores data objects using their native format without adding any extra data layers that consume memory. It further reduces memory consumption with very high data compression, using several proprietary algorithms.

• Parallel Computing. ActivePivot was designed from the ground up as a native multi-threaded in-memory analytics solution, so that all machine cores are used to their maximum capabilities without any waste of idle time. Users can run complex queries that combine huge amounts of existing data with new inputs, with ActivePivot executing computations in a split second and returning instant results.

• Horizontally Scalable. ActivePivot is scalable as it grows with your business and allows you to benefit from insights on both real-time and historical data. ActivePivot can be deployed on distributed architectures such as clusters and wide area networks.

These underlying technologies make ActivePivot a powerful OLTP and OLAP hybrid engine that supports both ACID -compliant high-volume transactions, and complex OLAP queries.

Demo Video:
ActivePivot Distributed Architecture in a CVA Scenario

In-Memory Analytics Engine - Key Benefits

• Analysis at the speed of thought (instant answers to queries)
• Business / operational usage of data-based insights

“Active Pivot offers a massively scalable aggregation engine that we can integrate seamlessly with existing Enterprise Risk solutions or can form the core of a strategic architecture designed to meet the significant challenges faced by our clients”

Brian Lynch – CEO at RiskFocus

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