DataChain

DataChain is a data platform built by the team behind DVC (Data Version Control) for managing large, unstructured, multimodal datasets such as video, audio, images, PDFs, and other file types that live in cloud object storage like Amazon S3, Google Cloud Storage, or Azure Blob Storage. Rather than moving or copying files, it layers a queryable, versioned metadata structure on top of existing storage, letting teams run Python-based ETL pipelines, generate embeddings, and extract insights while keeping data in place. Every dataset save records the source code, inputs, author, and timestamp, giving full lineage for reproducibility, and the platform caches ML scoring and LLM responses so repeated analysis doesn't require expensive recomputation. Processing can scale from a laptop to hundreds of distributed workers, and datasets can be sent directly to PyTorch or TensorFlow for model training. DataChain integrates with coding agents like Claude Code, Cursor, and Codex through the Model Context Protocol, and lists partnerships with NVIDIA, Databricks, and Hashicorp. It targets data scientists, ML engineers, and researchers, from startups to large enterprises, who need to curate and organize large volumes of unstructured data without vendor lock-in. Team pricing was still listed as "forthcoming" at the time of research, so it isn't yet clear how it will be priced beyond the free open-source tier.