Theme · updated weekly

Time Series — SaaS tools & trends 2026

6 products Sparkpulse tracks are shipping around time series. The highest-velocity time series products right now are QuestDB, TimescaleDB and Apache TsFile (ranked by Sparkpulse's velocity score). The theme runs across 3 sectors, so the momentum you see here is drawn from products competing in different corners of the market. Their velocity scores span 0.0 to 7.5 out of 10, a spread that shows how unevenly shipping cadence is distributed across the field. Below: every tracked product carrying this theme, updated from release data. Everything on this page is regenerated from verified release data, so the ranking reflects the latest changelogs rather than a static list.

Products shipping around time series

#01QuestDBEnterprise 4.0 ages partitions to object storage and keeps them queryable.7.5alternatives →

#02TimescaleDBTimescaleDB is paying down correctness debt in its columnstore query paths.5.0alternatives →

#03Apache TsFileTsFile is quietly rebuilding itself as an Arrow-speaking interchange format2.5alternatives →

#04VictoriaMetricsFive of six VictoriaMetrics entries are scraped GitHub page furniture; one is a real LTS patch.0.0alternatives →

#05GraphiteGraphite's answer to its own CVE backlog is a pre-release nobody calls official.0.0alternatives →

#06Apache IoTDBThe table model is becoming a real SQL engine, and a C driver opens the industrial edge.0.0alternatives →

Frequently asked questions about time series

Which SaaS tools ship time series in 2026?

QuestDB, TimescaleDB, Apache TsFile, VictoriaMetrics, Graphite, and 1 more — the time series products Sparkpulse tracks, ranked by shipping velocity from verified changelogs.

Which time series product has the highest shipping velocity?

QuestDB, with the top velocity score (7.5/10) — Sparkpulse's velocity score is derived from verified release data.

How many products are shipping around time series?

Sparkpulse currently tracks 6 products carrying the time series theme, updated continuously from verified release data.