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ActivePivot

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Product and service specifications
Database
• N/A
Language used
• Java
Operating system
• AIX
• HP-Unix
• Linux
• Mac OS 9
• Max OS X
• Solaris
• Windows 2000
• Windows 2003
• Windows NT4
• Windows Vista
• Windows XP
• Other
Pricing structure
• Other
User interface
• GUI
• Web
• Other
Tags:
OLAP Business Intelligence MDX XMLA Real-Time VaR
Overview

Real-time, object-based, in-memory incremental OLAP engine that aggregates and applies business logic to any data object, not just numbers. Provides a common technology to allow IT to rapidly build real-time applications such as profit and loss, risk, VaR, trade blotters, inventory positions, cash flow with full slice and dice, drill-down and drill-through capabilities.

A true component that is scalable, easy-to-use, customizable, and implements seamlessly across all platforms.

Since performance and memory management is so good, the engine can aggregate and load nearly 400,000 objects per second and can deal with tens of thousands of market data updates per second as well  - which is why a leading online broker-dealer uses ActivePivot to deliver their client activity monitoring, positions, and risk or a large German bank is using ActivePivot to report their FX/MM activity (positions and P&L)  – all in real-time.  

ActivePivot is unique to its competition - normally the traditional OLAP products which work off of a database (ActivePivot is all in-memory and is truly real-time (incremental) and object-based) - and includes in addition, some features you would normally only find in a complex event monitoring system (i.e. continuous queries to be used, with user-defined rules, to monitor any aggregated value in the cube).

In terms of handling high volumes, here are ActivePivot's latest performance / memory figures:

Working with an entry level machine (64-bit, 8 core, and 64 GB) for a global VaR project, ActivePivot is able to parse, aggregate, and load into a 20 dimension, 39 level, 9 measure hypercube, 400 billion PV’s in less than 100 minutes with a large query response time from the users of less than one second allowing these users to slice & dice through the dimensions using MS Excel, or a host of other GUI choices – seeing VaR at whatever level is necessary.
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