About Parseable
Parseable is an observability platform for logs, metrics and traces. It stores data in open columnar formats on object storage and can be queried with SQL or PromQL.
What it does
Parseable is written in Rust and ships as a single binary, so it can be deployed without a large set of supporting services. Data is stored in object storage, which keeps the design stateless and makes it easier to scale. Dashboards, alerts, service maps and distributed trace views are included. An AI analysis feature scans logs, metrics and traces to summarise trends and suggest root causes. It supports OpenTelemetry for ingestion.
Key features
- Logs, metrics and traces in one binary
- Storage on object storage in open Parquet format
- Queries with SQL and PromQL
- OpenTelemetry-native ingestion
- Dashboards, alerts and service maps
Who it's for
Teams with high-cardinality telemetry, data sovereignty requirements or a wish to control storage costs. It also suits engineers who prefer open formats over a closed vendor store.
Pricing and good to know
The self-hosted open source version is licensed under AGPLv3, so it is free to run on your own infrastructure. The managed cloud and enterprise versions are paid, and enterprise features such as some PromQL and distributed features are listed as part of that tier. Object storage costs and query performance will depend on your provider and data layout.
Highlights
- Logs, metrics and traces in one binary
- Queries with SQL and PromQL
- Data stored in open Parquet format
- Service maps and AI-assisted root cause analysis
