Go data-version-control

Open-source Go projects categorized as data-version-control

Top 3 Go data-version-control Projects

data-version-control
  1. dolt

    Dolt – Git for Data

    Project mention: Dolt as a backing database for blockchains | dev.to | 2025-03-24

    Before Dolt appeared on my radar, I thought this problem was non-trivial, and very difficult to implement: Whenever a fork occurs, or blocks arrive at your node that conflict with your current chain, you have to validate these new blocks against a snapshot of your data at a specific point in time. This point in time is determined by the parent block hash of the incoming blocks. This requirement for "time-travel" has always deterred me from attempting my own blockchain implementation. I know that there are blockchains out there that have (maybe?) solved this, but I'm not as good as a programmer as those guys. If you're anything like me, maybe you can relate.

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. lakeFS

    lakeFS - Data version control for your data lake | Git for data

  4. git-lfs-fuse

    Mount remote repositories, models and datasets managed by Git LFS locally.

    Project mention: Show HN: Mount remote repositories and datasets managed by Git LFS locally | news.ycombinator.com | 2025-04-20
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

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Index

What are some of the best open-source data-version-control projects in Go? This list will help you:

# Project Stars
1 dolt 18,731
2 lakeFS 4,716
3 git-lfs-fuse 50

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InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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