# griddb/griddb

GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.

Repository: https://github.com/griddb/griddb
Canonical: https://ross.abutalabs.com/products/griddb
Homepage: https://griddb.org/
Language: C++
License: AGPL-3.0
License Family: copyleft
Topics: database, griddb, nosql, iot, fast, time-series, newsql, sql, bigdata, timeseries
Last push: 2026-03-19T08:57:07+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 73, release rhythm 39, longevity 100
- inputs: {"age_days": 3843, "days_push": 167, "days_rel": 197, "gap_med": 230.5, "n_releases_24m": 3}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2475, forks 4971 (observed 2026-08-28T04:06:55.005434+00:00)

## What it is
GridDB is an open-source, high-performance distributed database optimized for time-series IoT and big data workloads, offering both NoSQL and SQL interfaces. It is written in C++ with a Java client and JDBC driver, featuring in-memory orientation, scale-out clustering, and petabyte-scale data management.

## Use cases
- store and query high-frequency sensor data from IoT devices
- ingest massive time-series data streams in real time
- run SQL analytics over NoSQL-collected telemetry
- build petabyte-scale big data pipelines with millisecond queries
- set up a highly available clustered database for cyber-physical systems
- replace a general-purpose database for time-series-heavy workloads

## When to choose
- your workload is dominated by time-series IoT or sensor data at high write frequency
- you need both NoSQL ingestion and SQL querying in one database
- you require horizontal scale-out clustering with high availability
- you need petabyte-scale storage with in-memory performance characteristics

## When to avoid
- you need a simple embedded or single-node database for a small app
- your primary platform is Windows or macOS (Linux x64 is the supported target)
- you need rich ecosystem tooling and ORMs comparable to PostgreSQL or MySQL
- AGPL-3.0 licensing is incompatible with your project

## Facets
- artifact type: service
- maturity: active
- function: database, search-engine, caching
- domain: databases, big-data, iot, time-series, microservices
- platform: self-hosted, cloud
- tags: time-series-database, nosql, newsql, in-memory, iot-database, sql-interface, java-client, jdbc, linux, docker

## Member repositories
- griddb/griddb (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:55.005434+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 2026-08-30T02:28:22.998227+00:00, confidence not recorded.
  - readme: https://github.com/griddb/griddb (fetched 2026-08-28T04:06:55.005434+00:00, sha 200d11afb3d5)
  - homepage: https://griddb.org/ (fetched 2026-08-29T10:10:22.637142+00:00, sha 9c429ff9c893)
- Data as of 2026-08-30T08:39:29.467469+00:00.
