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Data Infrastructure

Exasol

In-memory analytics database for high-speed SQL on large datasets

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About Exasol

Exasol develops an in-memory, massively parallel analytics database used as a data warehouse for fast queries on large datasets. It is available as SaaS, on-premises and in customer clouds, and adds in-database AI features. Customers are mainly mid-size and large enterprises, with a strong base in Europe.

Common use cases

  • Enterprise data warehouse
  • Fast BI queries
  • Data lake queries
  • Advanced analytics

Products and services

Exasol SaaS

Managed analytics database.

Exasol Database

Self-managed on-premises and cloud edition.

Exasol Espresso

Lightweight offering for smaller deployments.

Key features

  • In-memory processing
  • Massively parallel SQL
  • Columnar storage
  • Virtual schemas
  • In-database ML
  • Multi-cloud deployment

Integrations

  • Tableau
  • Power BI
  • Qlik
  • dbt
  • Kafka
  • AWS
  • Microsoft Azure

Exasol alternatives

FAQs

How does it get its speed?

Through in-memory, parallel, columnar processing.

Where can it run?

As SaaS, on-premises, or in customer clouds.

Who is it for?

Enterprises needing fast SQL analytics on large data volumes.

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