← All lakebases
time-series
GreptimeDB
Time-series and observability data stored as Parquet on object storage.
Kind
time-series
Vendor
Greptime
Workload
Time-series: metrics, logs, and events
Storage backend
Object storage (S3, GCS, Azure)
Separates storage and compute
Yes
Object storage is source of truth
Yes
Open source
Yes
Access paths
Open source, GreptimeCloud
GreptimeDB is an open-source database for time-series data: metrics, logs, and events. It separates storage from compute and persists data as Parquet files on cloud object storage.
Why it qualifies
- Object storage is the source of truth. Data is stored as Parquet on object storage (S3, GCS, Azure, and compatible stores).
- Storage and compute are separate. Compute nodes hold no durable state and read from the shared object store, so they scale independently of the data.
- Operational workload. It answers live, latency-sensitive queries for monitoring, dashboards, and alerting on fresh data.
- Storage is in an open format. Parquet is a widely supported open format, so other tools can read the same files.
Where it sits in the category
GreptimeDB adds time-series to the category. Observability sits between operational and analytical work, but its queries are live and latency-sensitive, and Parquet on object storage is the lakebase pattern applied to metrics and logs.