Exasol is the fastest in-memory MPP database according to the TPC-H benchmark for clustered, decision support databases.
You can easily install an Exasol Cluster on AWS using our Cloud Deployment Wizzard (https://cloudtools.exasol.com/#/aws).
Since 09/24/2014 Exasol holds the unmatched score of 1.6 million queries per hour.
Exasol has been designed specifically for BI, analytics and reporting and scales rapidly from 10's GBs to 100's TBs data, is quick to implement and delivers highest performance while keeping costs and complexity low.
Exasol is being used in a wide range of Big Data use cases, including accelerating standard reporting, running multi-user ad-hoc analytics, and performing complex modelling using predictive in-database analytics. As a data warehouse and analytics engine, Exasol can be used either standalone or integrated with Hadoop and Spark.
In addition out-of-the-box support for R, Python, Java and Lua allows you to integrate the programming language of your choice and use it for in-database analytics.
Exasol supports standard interfaces for integrating upstream (Data Integration) and downstream (BI) tools. Our standard interfaces include ODBC, JDBC, WebSockets and ADO.NET. Exasol works in production environments with BI and Data Integration tools from all the leading vendors.