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What is lakeFS, and How to Deploy It in an Enterprise Data Stack?

Last updated on
April 10, 2025
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What is lakeFS?

lakeFS is an open-source tool that brings Git-like operations to data lakes. It allows data teams to create branches, commit changes, and merge versions of large-scale datasets. This approach enables isolated experimentation, easy rollbacks, and atomic updates to production data. lakeFS works with various data formats and integrates seamlessly with popular data tools like Spark, Hive, and dbt. It supports major cloud object stores and on-premises solutions, offering zero-copy branching to minimize storage costs. With lakeFS, data engineers can implement robust CI/CD practices for data, improving quality and reducing time-to-production for data projects.

Use cases for lakeFS

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Why is lakeFS better on Shakudo?

While LakeFS itself is fantastic, deploying and managing it can be complex and time-consuming.

That's where Shakudo shines.Shakudo's platform streamlines LakeFS deployment and integration, eliminating the headaches of manual setup and maintenance. Teams can leverage LakeFS's capabilities without the operational overhead, allowing them to focus on data-driven innovation rather than infrastructure management. Shakudo's one-click installation and seamless integration with existing data tools create a frictionless experience, accelerating time-to-value for LakeFS adoption. This approach not only reduces implementation costs but also enhances security and compliance by leveraging Shakudo's robust infrastructure within your own cloud environment.

Why is lakeFS better on Shakudo?

Core Shakudo Features

Own Your AI

Keep data sovereign, protect IP, and avoid vendor lock-in with infra-agnostic deployments.

Faster Time-to-Value

Pre-built templates and automated DevOps accelerate time-to-value.
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Flexible with Experts

Operating system and dedicated support ensure seamless adoption of the latest and greatest tools.

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Neal Gilmore
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