Exasol
The World’s Most Powerful Analytics Engine
Exasol CPO Alexander Stigsen explains why Exasol Personal was created
In his announcement, Alexander Stigsen outlines the reasoning behind Exasol Personal and the decision to remove common limitations found in individual and trial setups, such as reduced functionality, data caps, and complex cluster management.
About Exasol
Exasol Analytics Engine is a high-performance, in-memory analytics database built for organizations that need fast, reliable insights from large and complex data workloads. Designed for near real-time analytics, data warehousing, and AI/ML use cases, Exasol combines massively parallel processing (MPP) with in-database execution to deliver extreme query performance at a significantly lower total cost.
Exasol is used when traditional data warehouses or cloud platforms struggle with latency, concurrency, or cost. It excels at accelerating business intelligence, powering high-concurrency dashboards, running complex analytical queries, and executing machine learning models directly where the data lives, without constant tuning or operational overhead.
What sets Exasol apart is its ability to deliver 10x to 1000x faster queries through in-memory processing while remaining flexible in how and where it runs. Exasol can be deployed on-prem, in hybrid environments, or alongside cloud platforms like AWS, Azure, GCP, and Snowflake, making it an ideal analytics accelerator rather than a forced replacement. It integrates seamlessly with tools such as Tableau, Power BI, dbt, Python, Spark, and modern AI frameworks.
With a self-tuning engine, built-in AI and ML execution, high compression, and efficient resource usage, Exasol minimizes administration while maximizing performance. With Exasol Personal, teams can now get started for free with 100% of Exasol’s features in a single-user edition, making it easy to evaluate the platform, build prototypes, and develop high-performance analytics without licensing friction.
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