Data Versioning
Showing 13 of 13 projects
Dolt is a version-controlled SQL database that supports Git-like operations such as fork, clone, branch, merge, push, and pull.
Deep Lake is a multimodal data lake and vector store optimized for AI, enabling scalable data management, retrieval, and training for LLM and deep learning applications.
An open-source storage framework that enables building a Lakehouse architecture with ACID transactions and scalable metadata handling.
An open-source MLOps/LLMOps suite for experiment management, data management, pipelines, orchestration, scheduling, and model serving.
An open-source tool that transforms object storage into a Git-like repository for versioned, atomic, and repeatable data lake operations.
An embeddable C++ storage engine for dense and sparse multi-dimensional arrays, dataframes, and key-value stores.
A transactional catalog for data lakes with Git-like semantics, enabling version control and branching for data assets.
A CLI tool that applies Git-like version control to cloud storage, enabling distributed, decentralized, and deduplicated data repositories.
A Python library that automates the tedious parts of exploratory data analysis with cleaning, feature engineering, visualization, and versioning.
Automatic and reliable PostgreSQL data change tracking using Write-Ahead Log and Change Data Capture.
A Go framework to simplify CRUD operations for arbitrarily deep structured data using graph concepts.
Automatic data change tracking for Prisma with PostgreSQL, enabling audit trails and time travel querying.
Automatic data change tracking for Supabase JS, enabling audit trails and time travel querying with application context.
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