TigerData (formerly Timescale)
Depends
Confidence: Medium
Buy it if you're ingesting terabytes-to-petabytes of time-series data and want to stay on PostgreSQL.
Comparison
TigerData (formerly Timescale) and Prometheus both land on Depends.
Buy it if you're ingesting terabytes-to-petabytes of time-series data and want to stay on PostgreSQL.
Buy it if you run Kubernetes or cloud-native infrastructure and can operate open-source tooling yourself.
| Compare | TigerData (formerly Timescale) | Prometheus |
|---|---|---|
| Verdict | Depends | Depends |
| Best for | IoT and sensor telemetry | Kubernetes and container monitoring |
| Who it's not for | Small apps . plain Postgres suffices | Non-technical teams wanting turnkey hosting |
| Privacy | No known public vulnerabilities found in the sources reviewed.² | Security model is documented, but 2026 brought XSS and DoS CVEs, and misconfigured public exposure is the top real-world risk. |
| Support quality | Dedicated customer experience roles; no user support reviews found | No support evidence in sources |
| Public sentiment | No independent user reviews surfaced in these sources; public material is almost entirely vendor-published.⁵ | Adoption is enormous . 68,598 companies tracked . yet teams routinely evaluate simpler or cheaper alternatives.⁹ |
| Biggest gotcha | Migrating off a petabyte-scale managed database is slow and expensive . plan your exit path early² | Over 330K instances exposed to DoS attacks and data compromise in Dec 2024; never expose it publicly13 |