Best Time Series (2026)
Ranked picks for time series. No "it depends."
InfluxDB
The time series database that actually makes sense for your metrics, not just another SQL wannabe.
Full Rankings
InfluxDB
Nice PickThe time series database that actually makes sense for your metrics, not just another SQL wannabe.
Why we picked it
InfluxDB owns the time-series niche because it was built for metrics from day one, not retrofitted. Its native query language (Flux) and storage engine (TSM) handle high-cardinality writes and downsampling better than TimescaleDB's PostgreSQL hack or Prometheus's pull-only model. If you need to store and query millions of data points per second without fighting a relational schema, InfluxDB is the only serious choice.
→ Pick it when you're ingesting high-frequency sensor or application metrics and need a purpose-built engine that doesn't force you into SQL joins or PromQL's limited aggregation.
Pros
- +Optimized for high-throughput writes and fast queries on timestamped data
- +Built-in support for downsampling and retention policies to manage data lifecycle
- +Flux language allows for powerful, flexible data transformations and aggregations
Cons
- -Flux has a steep learning curve compared to traditional SQL
- -Limited support for complex joins and relational data structures
Missing a tool?
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