Best time-series database

Combined ranking

1. 1
   TimescaleDB—14 pts

   GPT #1Claude #2Gemini #1

   PostgreSQL compatibility, strong SQL analytics, hypertables, compression, continuous aggregates, mature cloud/self-hosting story, and broad fit for product, IoT, finance, and observability-adjacent workloads

   To stay #1 Make horizontal scale-out and multi-node operations simpler and more first-class

2. 2
   ClickHouse—12 pts

   GPT #2Claude #1Gemini #3

   Blistering columnar OLAP performance on time-series workloads at petabyte scale, standard SQL, huge open-source momentum plus a mature cloud offering, and it has become the default backend for observability and analytics stacks (Sentry, Cloudflare, Posthog-style event pipelines)

   To rank higher Ship first-class native time-series ergonomics (downsampling, retention policies, gap-filling as built-ins rather than patterns) so it stops feeling like a general OLAP engine you must hand-tune for TSDB use

3. 3
   InfluxDBincumbent—9 pts

   GPT #4Claude #3Gemini #2

   Rebuilt on Rust and Apache Arrow to handle unlimited cardinality, support native SQL, and maintain the industry's largest metrics-collection ecosystem.

   To rank higher Release the 3.0 engine as a fully featured, self-hosted open-source version instead of restricting it to paid tiers.

4. 4
   VictoriaMetrics—7 pts

   GPT #3Claude #4Gemini #4

   Extremely efficient Prometheus-compatible metrics storage, low resource use, strong compression, simple operations, fast ingestion, and excellent long-retention observability performance

   To rank higher Broaden beyond metrics/PromQL into a more general-purpose time-series database experience

5. 5
   QuestDB—3 pts

   GPT #5Claude #5Gemini #5

   Very fast ingestion, PostgreSQL wire compatibility, SQL interface, strong performance for financial/market-data style workloads, and lightweight operations

   To rank higher Prove more large-scale enterprise production maturity and ecosystem depth

Rank history

By model

Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled continuously