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CnosDB

Free#16 of 36 in Time-Series Databases

CnosDB: A flexible open-source SQL database for distributed time-series workloads. Ranked #16 of 36 in Time-Series Databases by our editors (7.4/10); pricing: Open source; best for cloud-native SQL time-series clusters.

7.4/10Editor score
Visit CnosDB
CnosDB7.4 Visit CnosDB

At a glance

  • Editor score
    7.4 / 10
  • Pricing
    Open source
  • Best for
    Cloud-native SQL time-series clusters
  • Paid from
    None
  • Deployment
    Both
  • Facts checked
    22 Sep 2026
CnosDB screenshot

  • Where it wins

    • Standalone and distributed deployment with storage-compute separation
    • SQL querying with multiple time-series ingestion protocols
    • TTL, replication, tiered storage, and multi-tenancy support

  • Where it doesn't

    • Self-hosted deployments require infrastructure and operational ownership
    • SQL is the listed query language for database queries
    • Docker installation may add deployment decisions for smaller teams

Our verdict on CnosDB

CnosDB is an open-source time-series database for IoT, industrial internet, connected vehicles, and IT operations. It supports standalone and distributed deployment modes, giving teams a choice between a simpler single deployment and a horizontally expandable cluster. Its cloud-native design includes separate storage and compute layers, SQL querying through Apache Arrow DataFusion, configurable TTL policies, replication, tiered hot and cold storage, and tenant resource quotas. It fits teams that want control over deployment across public, private, or hybrid cloud environments while keeping SQL at the center of their time-series workflow.

The integration surface is broad for a database in this category. CnosDB supports SQL, line protocol, OpenTSDB, Prometheus, eslog, Telegraf, Vector, and Filebeat ingestion methods, alongside REST APIs and a command-line client. Published integrations include Grafana, Telegraf, Vector, Filebeat, JDBC, a Python SDK, and the REST API. This combination can support monitoring dashboards, telemetry pipelines, application access, and operational tooling without limiting ingestion to one protocol. Teams with existing observability or telemetry systems should find the protocol coverage more relevant than a database limited to direct SQL writes.

CnosDB also emphasizes control over data lifecycle and cluster architecture. Configurable expiration policies, horizontal expansion, replication, and hot/cold data nodes address retention and scale planning, while multi-tenancy adds resource quotas for shared environments. Installation can run through Docker or other self-hosted methods, so organizations choosing CnosDB should be prepared to own deployment decisions and infrastructure management. It is a strong fit for engineering teams that need an open-source, SQL-based time-series cluster with flexible ingestion and storage options. Teams seeking a narrowly managed service, or database queries beyond SQL, should consider alternatives aligned with those requirements.

CnosDB pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on cnosdb.com

CnosDB fact sheet

Free planNot verified
Paid fromNone
DeploymentBoth
SQL supportYes
Retention policiesYes
Horizontal scalingYes
Query languagesSQL, DataFrame API
Ingestion methodsSQL, Line Protocol, OpenTSDB, Elasticsearch bulk, Loki, NDJSON, OpenTelemetry
DeploymentCloud, Self-hosted
PlatformsLinux, macOS
SupportDocs, Community
Built forSmall business, Mid-market, Enterprise (editorial estimate)
Integrations9 integrations: Grafana, JDBC, ODBC, Arrow Flight SQL, Telegraf, Vector …
PricingOpen source
Websitecnosdb.com
Facts checked22 Sep 2026

CnosDB integrations

CnosDB lists 9 integrations on its own site.

  • Grafana
  • JDBC
  • ODBC
  • Arrow Flight SQL
  • Telegraf
  • Vector
  • Filebeat
  • Python SDK
  • Prometheus

Alternatives to CnosDB

See all CnosDB alternatives →

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Featured on iTechGuides

Featured on iTechGuides — CnosDB 7.4/10

CnosDB is listed in our Time-Series Databases directory. Add the badge to your site — it links back to this page.

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Guides on Time-Series databases

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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