GreptimeDB

What it is

GreptimeDB is an open-source, cloud-native time series database written in Rust. It's built to handle both the write-heavy, high-cardinality workloads typical of metrics/observability data and analytical queries against that same data — without requiring a separate OLAP system bolted on the side. It speaks multiple protocols (InfluxDB line protocol, Prometheus remote write, OpenTSDB, MySQL/PostgreSQL wire protocol) and separates storage from compute so it can run on object storage (S3, GCS, etc.) for cost efficiency at scale. Category-wise it sits in App Definition and Development, but in practice it's infrastructure: a database you'd deploy to replace or sit alongside Prometheus/InfluxDB/TimescaleDB for long-term metrics storage and ad-hoc analytics.

Who builds it and why

GreptimeDB is developed by Greptime, a company built around the project (commercial cloud offering funds the open-source core — standard open-core model). 142 contributors on GitHub suggests real external interest beyond the founding team, though the bulk of commits typically comes from core maintainers in projects at this stage. CNCF maturity is not publicly available — GreptimeDB is not currently a CNCF project as far as public records show, so don't expect the governance/vendor-neutrality guarantees that come with Sandbox/Incubating/Graduated status.

Production readiness signal

6,426 GitHub stars and a v1.1.1 release indicate the project has moved past experimental/0.x churn and is being used in production by someone. Active commit history through mid-2026 shows it's not abandoned. Apache-2.0 licensing removes legal friction for enterprise adoption. That said, star count and contributor count alone don't tell you about operational maturity under real failure conditions — check Greptime's own case studies and issue tracker for how it behaves under node failures, compaction storms, and schema evolution before betting a critical observability pipeline on it. "Founded" date is not publicly available, so you can't easily gauge how long the core has been battle-tested in the field versus how long it's been open source.

Who should use this

• Teams running Prometheus at scale and hitting cardinality/storage-cost walls who want long-term retention without a separate TSDB and a separate data warehouse.
• Platforms that need both time series ingestion (metrics, IoT, sensor data) and SQL-based analytics on that same data without ETL into a second system.
• Rust-shop or Rust-tolerant infra teams comfortable running and debugging a relatively young distributed system in-house.
• Anyone who wants to decouple storage cost (object storage) from compute for time series data.

Who should NOT use this

• Teams needing a CNCF-graduated, vendor-neutral guarantee for procurement/compliance reasons — that status doesn't exist here (publicly).
• Small deployments where Prometheus + Thanos/Mimir or a single Postgres+TimescaleDB instance is simpler and already well understood by your team — don't add a new database just because it's newer.
• Organizations that need a large, proven ecosystem of third-party tooling, Grafana plugins, and community troubleshooting content — GreptimeDB's ecosystem is still thin compared to InfluxDB or Prometheus.
• Teams unwilling to operate a young distributed system themselves without paying for Greptime's managed offering — self-hosting an early-stage distributed database is real operational work.

Alternatives

• InfluxDB — the incumbent time series database, larger ecosystem and community, but historically weaker at combined transactional+analytical workloads and has its own cardinality limits.
• TimescaleDB — Postgres extension approach; if you're already on Postgres, lower operational overhead, but scales differently (vertical/read-replica-first vs. GreptimeDB's distributed-native design).
• Prometheus + Thanos/Mimir — the standard for metrics at scale; more mature and battle-tested for pure metrics use cases, but not designed for general analytical SQL queries the way GreptimeDB is.

Pricing

GreptimeDB itself is fully open source under Apache-2.0 — no license cost to self-host. Greptime (the company) offers a managed cloud version; pricing for that is not publicly available in the data provided — check greptime.com directly for current commercial terms.