#Store All the Things

Noms is a content-addressed, immutable, decentralized, strongly-typed database.

In other words, Noms is Git for data.

Setup

1. Install Go 1.6+
2. Ensure your $GOPATH is configured
3. Type type type:

git clone https://github.com/attic-labs/noms $GOPATH/src/github.com/attic-labs/noms
go install github.com/attic-labs/noms/cmd/...
noms log http://demo.noms.io/cli-tour:film-locations

Samples  |  Command-Line Tour  |  JavaScript SDK Tour  |  Intro to Noms

Features

Versioning Each commit is retained and can be viewed or reverted	Type inference Each dataset has a precise schema that is automatically inferred	Atomic commits Immutability enables atomic commits of any size
Diff Compare structured datasets of any size efficiently	Schema versioning Narrow or widen schemas instantly, without rewriting data	Sorted indexes Fast range queries, on a single or a combination of attributes
Fork Create your own isolated branch of a dataset to work in	Schema validation (soon) Optionally constrain commit types on a per-dataset basis	Insanely easy import Continuous import from anywhere with automatic deduplication
Sync Sync disconnected database instances efficiently and correctly	Structural typing Index, search, and match data by structure shape	Awesome export Continuously and efficiently export from Noms to anywhere

Use Cases

We're just getting started, but here are a few places we think Noms is especially well-suited:

• Data collaboration—Work on data together. Track changes, fork, merge, sync, etc. The entire Git workflow, but on large-scale, structured data.
• ETL—ETL based on Noms is inherently incremental, undoable, idempotent, and auditable.
• Data integration and enrichment—A content-addressed database should be a really nice place to do data integration. Enrichments can be modeled as extensions to source data which are trivially undoable.
• Decentralized database—Noms is a natural fit to move structured data around certain kinds of widely decentralized applications.

Get Involved

Noms is developed completely in the open. Come say hi.

• Mailing List
• Slack
• Twitter