griddb/griddb

Health v2 · maintenance only

Adoption not part of the score

2475 stars · 4971 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

service · maturity active

database search-engine caching databases big-data iot time-series microservices self-hosted cloud time-series-database nosql newsql in-memory iot-database sql-interface java-client jdbc linux docker

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