DataChain
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DataChain builds a suite of tools for data preprocessing and management, experiment tracking, ML models versioning, and pipeline automation.
Cost / License
- Freemium
- Open Source (Apache-2.0)
Platforms
- Python
- Online
- Software as a Service (SaaS)
- Self-Hosted
Features
- File Versioning
- Python-based
- Data-management
- Data analytics
- Pipeline Management
- Data enrichment
Tags
- data-versioning
- large-dataset-analysis
- multimodal
- etl
- Data Analysis
- data-preprocessing
- unstructured-data
- data-processing
- datasets
DataChain News & Activities
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DataChain information
Developed by
DataChain, Inc. Licensing
Open Source (Apache-2.0) and Freemium product.Pricing
free version with limited functionality.Written in
Alternatives
8 alternatives listedSupported Languages
- English
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What is DataChain?
The copilot for unstructured data.
Build, debug and version multimodal datasets - video, audio, images, parquet and more.
- IDEs Powered by Data Context: Share data, data lineage and code with your IDE like Cursor and GitHub Copilot via MCP — enabling smarter code generation.
- Pythonic stack: One language across code and data without SQL islands. Easier for developers, better for IDEs and agents.
- IDE-Native for Cloud Scale: Build and debug datasets processing locally. Scale instantly in 100s of cloud GPUs.
- No Data Duplication: Operate on references to data in cloud storage - no data copies, no format changes, no vendor lock-in.
See what DataChain can do
- Master multimodal data with seamless ETL: Apply LLMs and ML models to extract insights from videos, PDFs, audio, and other unstructured data types. Effortlessly organize it into ETL processes.
- Reproduce and data lineage: Track data lineage with all code and data dependencies. Reproduce datasets, and update them automatically via ETL.
- Large-Scale Data Processing: Efficiently handle millions or billions of files. Leverage ML models for data filtration, join datasets seamlessly, and compute dataset updates with ease.