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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.
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.
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Secure infrastructure
Deploy Shakudo easily on your VPC, on-premise, or on our managed infrastructure, and use the best data and AI tools the next day.
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Integrate with everything
Empower your team with seamless integration to the most popular data & AI framework and tools they want to use.
Streamlined Workflow
Automate your DevOps completely with Shakudo, so that you can focus on building and launching solutions.
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