Bring connected, trusted data to your users without increasing IT burden.
Exasol supports on-premises, AWS, GCP, and Azure. We also offer ExaCloud, a fully-managed private cloud option.
Load data from any data lake, any data warehouse, or stream via Kafka or Spark.
JSON, Geospatial, full-text search, relational, key-value, time series.
Access external data sources in Exasol through regular SQL commands using Exasol's Virtual Schemas function.
Virtual Schemas make it easy to connect to all of your data sources.Learn More
Virtual Schemas create a read-only link and run SQL to pull data from the source in real time, no ETL process required.Learn More
Virtual Schemas create an abstraction layer to connect to any data sources, in or outside Exasol.Learn More
We built Exasol to help data teams do more with data, and spend less time managing and waiting.
In-memory processing, columnar storage, and MPP based on a shared nothing architecture for faster query response
Intelligent query optimizer incorporating system statistics and metadata to ensure highest performance
Add nodes whenever needed while optimized for efficient use of storage and compute resources.
Custom and open-source connectors allow you to do more with what you have.
Native support for Python, R, Java, and Lua via Exasol's User Defined Function (UDF) capabilityLearn More
Run your data science model on an in-memory, MPP engine for umatched speed to insightsLearn More
Accelerate the dashboards you already have and get more users at your organization tapped into data.
Enable ad-hoc and real-time queries, allowing faster time to action.
With models run directly in the database, you can make insights accessible within user dashboards.
Exasol’s extreme performance underpins all your analytics, fostering a data-driven culture for the organization