# ravendb/ravendb

ACID Document Database

Repository: https://github.com/ravendb/ravendb
Canonical: https://ross.abutalabs.com/products/ravendb
Homepage: https://ravendb.net
Language: C#
License: NOASSERTION
License Family: other
Topics: ravendb, nosql, database, csharp, dotnet, full-text-search, indexing, iot, search-engine, sharding, spatial, time-series, vector-search, document-database
Last push: 2026-08-26T14:35:18+00:00

## Health v2 (maintenance only)
Score: 93/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 82, longevity 100
- inputs: {"age_days": 6028, "days_push": 7, "days_rel": 42, "gap_med": 0.0, "n_releases_24m": 65}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3993, forks 864 (observed 2026-08-28T04:08:31.859843+00:00)

## What it is
RavenDB is an open-source (AGPLv3) ACID NoSQL document database written in C#, featuring full-text search, vector search, time series, sharding, and built-in GenAI/LLM integration. It runs on-premises, in the cloud, or at the edge, with official client SDKs for .NET, Java, Python, Node.js, and more.

## Use cases
- store and query JSON documents with ACID transactions
- add full-text search to my application without Elasticsearch
- run semantic search over documents using vector embeddings
- run LLM enrichment tasks directly inside my database
- store and aggregate time-series data like IoT sensor readings
- set up a distributed replicated database with automatic failover
- shard data across multiple nodes
- sync data between RavenDB and SQL Server, PostgreSQL, or Kafka

## When to choose
- you need a schema-less document database with strong ACID guarantees
- you want built-in search, vector search, and time series without extra infrastructure
- you want LLM/GenAI workflows orchestrated natively in the database
- you need self-optimizing indexes and low-maintenance operations
- you need on-prem, air-gapped, or hybrid cloud deployments with compliance certifications

## When to avoid
- you need a fully permissive open-source license for commercial embedding (AGPLv3 applies)
- your workload is purely relational with complex joins across normalized tables
- you are already standardized on another database ecosystem with mature tooling
- you need a lightweight embedded database for a small application

## Facets
- artifact type: application
- maturity: stable
- function: database, search-engine, vector-database, caching, etl, security
- domain: databases, large-language-models, developer-tools, iot
- platform: windows, self-hosted, cloud, dotnet, cross-platform
- tags: nosql, document-database, acid, full-text-search, sharding, time-series, vector-search, genai, dbms, search, linux, macos, docker

## Member repositories
- ravendb/ravendb (main) score 93

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:31.859843+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:24:12.276872+00:00, confidence not recorded.
  - readme: https://github.com/ravendb/ravendb (fetched 2026-08-28T04:08:31.859843+00:00, sha 8c15e62a0693)
  - homepage: https://ravendb.net (fetched 2026-08-29T09:17:49.358194+00:00, sha ae63fd844102)
  - site_page: https://ravendb.net/features (fetched 2026-08-29T09:17:49.386320+00:00, sha 855fd721cf0c)
  - site_page: https://docs.ravendb.net (fetched 2026-08-29T09:17:49.391148+00:00, sha 42ba8d751f46)
  - site_page: https://ravendb.net/about (fetched 2026-08-29T09:17:49.392940+00:00, sha a84b074fa5d9)
  - site_page: https://ravendb.net/features/ai-features/vector-search (fetched 2026-08-29T09:17:49.396106+00:00, sha 8a69ae8d7a16)
  - site_page: https://ravendb.net/lp/genai-inside-database (fetched 2026-08-29T09:17:49.367701+00:00, sha 2eee596ea744)
  - site_page: https://ravendb.net/integrations (fetched 2026-08-29T09:17:49.389286+00:00, sha 1aad5d08174e)
  - site_page: https://cloud.ravendb.net/pricing (fetched 2026-08-29T09:17:49.394577+00:00, sha edf60991b3c5)
  - site_page: https://ravendb.net/products/on-prem (fetched 2026-08-29T09:17:49.397899+00:00, sha 673706d030ed)
- Data as of 2026-08-30T08:39:29.467469+00:00.