cnosdb/cnosdb

Health v2 · maintenance only

Adoption not part of the score

1756 stars · 313 forks observed · 2026-08-28

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

CnosDB is an open-source, cloud-native distributed time-series database written in Rust, supporting standard SQL, schemaless writes, and out-of-order historical data ingestion. It features native distributed design with data sharding, elastic scaling, and multi-tenancy, targeting IoT, industrial internet, connected vehicles, and IT operations workloads.

Use cases

• store and query IoT sensor telemetry at scale
• ingest high-volume metrics from industrial equipment
• monitor IT infrastructure and operations metrics
• run SQL aggregate queries over time-series data
• handle out-of-order and historical data backfill
• deploy a scalable time-series database on Kubernetes
• store connected vehicle telemetry data

When to choose

• you need a distributed, cloud-native time-series database with SQL support
• your workload is write-heavy with high compression requirements
• you need schemaless ingestion and out-of-order writes
• you want an open-source alternative to InfluxDB or TimescaleDB
• you need multi-tenant role-based access on time-series data

When to avoid

• you need full ACID transactional workloads
• you require a permissive license (AGPL-3.0 may restrict commercial embedding)
• your data is relational rather than time-series
• you need a mature ecosystem with long-term enterprise support

Facets

service · maturity active

database search-engine analytics databases time-series iot big-data cloud-computing windows self-hosted cloud rust time-series-database distributed-database sql cloud-native olap schemaless-writes high-compression linux macos docker kubernetes

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