Transform your object storage into a Git-like repository
lakeFS enables you to manage your data lake the way you manage your code. Run parallel pipelines for experimentation and CI/CD for your data.
Features
Exabytes scale version control
Git-like operations: branch,
commit, merge, revert
Zero copy branching for
frictionless experiments
Full reproducibility of
data and code
Pre-commit/merge hooks for
data CI/CD
Instantly revert changes to data
Features
Petabytes scale version control
Git-like operations: branch,
commit, merge, revert
Zero copy branching for
frictionless experiments
Full reproducibility of
data and code
Pre-commit/merge hooks for
data CI/CD
Instantly revert changes to data
Works seamlessly with all modern data frameworks
Deploy in the cloud or on-prem
Works seamlessly with all modern data frameworks
Deploy in the Cloud or On-Prem
And any S3 Compatible Storage
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The latest from our blog
The State of Data Engineering in 2021
Let’s start with the obvious: the lakeFS project doesn’t exist in isolation. It belongs to a larger ecosystem of data engineering tools...
Concrete Graveler: Splitting for Reuse
Welcome to another episode “Concrete Graveler”, our deep-dive into the implementation of Graveler, the committed object storage for lakeFS. Graveler is our...
Messing with AWS Endpoint URLs
It makes perfect sense that if you type aws s3 ls s3://my-bucket to list the contents of an S3 bucket, you would...
