Lakehouse Turbo
This section describes the Lakehouse Turbo plug-in query engine in Exasol SaaS.
Introduction to Lakehouse Turbo
Lakehouse Turbo is a plug-in query engine that enables you to use the high-speed query performance of Exasol with Databricks analytics. Lakehouse Turbo connects to your Databricks catalog, scans metadata, and smartly accelerates selected tables, automatically and incrementally. The Exasol engine will then operate on the cached data, enabling fast, concurrent queries without touching your existing pipelines or storage layers.
Key features
The Lakehouse Turbo plug-in query engine accelerates data lakehouse performance with the following key capabilities:
Change data capture (CDC)
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Supports incremental loads for new, updated, or deleted rows
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Provides deletion vector support for efficient data management
Partitioned tables
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Enables partition column support
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Handles new, removed, or updated partitions seamlessly
Schema evolution
Lakehouse Turbo supports dynamic schema changes, including:
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Adding new columns
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Dropping existing columns
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Data type widening
Parallel loads
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Allows parallel ingestion of multiple Parquet files
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Maximizes performance through distributed loading
To learn more about the advantages of Lakehouse Turbo, visit the Lakehouse Turbo home page.
Sign up for a free trial
You can sign up for a free trial of Lakehouse Turbo to explore the full power of the plug-and-play query engine without cost. The trial account provides all the functionality of Exasol SaaS for a limited time. After the trial period ends, you will be charged monthly for the subscription.
To learn how to sign up and get started, see Get started with Lakehouse Turbo.