Datachain

DataChain Runs Where Your Data Lives

Buckets, VPC, and IAM stay unchanged. DataChain orchestrates compute over your data; it never moves it.

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Trusted by startups and Fortune 500 companies

  • DeGould
  • Kibsi
  • Hugging Face
  • Mantis
  • Motorway
  • Inlab
  • Pieces
  • Sicara
  • UBS
  • SumerSports
  • UK Hydrographic Office
  • XP Inc.
  • Cyclica
  • Aicon
  • Billie
  • Papercup

Your infrastructure. Your control

Keep raw data in your buckets, behind your VPC and existing IAM policies. DataChain orchestrates your infrastructure: define clusters, run chains, and get typed datasets back. Its context layer never ingests your files. Dataset DB holds typed records, schemas, and lineage. Compliance is built into deployment, without a separate workflow or warehouse to govern

Keep Data, Compute, and Control Together

Storage ownership

Keep files in your own storage

Raw files stay in S3, GCS, Azure, or on-prem storage. Compute reads them directly and writes typed results to Dataset DB—without staging, ingestion pipelines, or duplicate copies to govern.

  • Dataset DB stores file pointers, schemas, and derived columns. Each row references its source URI.
  • Access only what you need: stream a clip, decode a slice, or read a column.
  • Pay the egress costs of reading your files, without duplication.

Compute in your VPC

Bring compute to the data

Define CPU, GPU, and high-memory pools in code. Chains route to the right pool automatically and scale from one machine to 25 to 1000+ in your VPC.

  • Run on clusters you operate, under your existing infrastructure controls.
  • Use built-in async I/O and checkpoint recovery to resume after failure from the last successful stage.
  • Distribute work through the same chain primitive, without a separate framework.

Flexible deployment

Across clouds, regions, and on-prem

Link storage, compute, and results across clouds through one Dataset DB. Collaborate across universities, hospitals, and regulated organizations while retaining control of data residency.

  • Keep storage in your region and run compute in any region you control.
  • Use Studio as the control plane only. Your data plane stays yours.
  • Audit what ran, where, by whom, and on which version in Dataset DB.

Add the missing data context layer to your object storage

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