1. Technology overview
Exasol is a German analytics database company founded in 2000 and headquartered in Nuremberg, listed on the Frankfurt Stock Exchange. The company addresses the slow query performance and heavy tuning effort enterprises face when running complex analytical workloads on general-purpose databases.
Its in-memory, column-oriented database distributes queries across clusters of standard servers, using automatic self-optimization and compression so teams get fast SQL analytics without manual index tuning, and it supports Python, Java, Lua and R for in-database machine learning. Since 2008 Exasol has repeatedly led the TPC-H benchmark for decision-support performance, serving customers running large-scale reporting and AI/ML workloads on-premises or in the cloud.
2. Highlighted features & specifications
1. In-memory engine: Processes analytical queries in memory across clustered standard hardware for speed.
2. Self-optimization: Automatically tunes data distribution and compression without manual index management.
3. In-database machine learning: Runs Python, Java, Lua and R scripts directly next to the data.
4. Standard connectivity: Supports SQL:2003, ODBC, JDBC and ADO.NET for existing BI and ETL tools.
5. Proven benchmarks: Has led TPC-H decision-support benchmarks across multiple data volume classes.
6. Flexible deployment: Runs on-premises, in the cloud or in hybrid environments on commodity servers.
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