Parseable

parseable.com ↗

Store and query observability telemetry in a columnar data lake with SQL and PromQL.

SI Score
80/100
Pricing
Freemium AI reading, not confirmed
Free plan
Yes AI reading, not confirmed
Sign-up required
Not confirmed

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Homepage screenshot
Screenshot of the Parseable homepage

What it does

Parseable is an observability data platform for logs, metrics, and traces. Its columnar data-lake architecture supports queries with SQL and PromQL, plus dashboards, threshold alerts, anomaly detection, and application performance monitoring. It can run as a self-hosted open-source installation or as a managed cloud service. The product suits teams that want one telemetry store for queries and alerting, with a choice between managing the deployment and paying for a hosted option.

Try the query workflow on one stream

Parseable's quickstart offers a local binary or Docker route and demonstrates sending a sample event into a stream before opening the browser console. Once data is arriving, the product's SQL and PromQL query paths let an operator search logs or metrics, build a dashboard, and create a threshold alert. For a production rollout, the project documents integrations for OpenTelemetry and other telemetry agents; the repository describes support for logs, metrics, and traces in the same system.

An illustrative first task is to send a small slice of application logs, build a query around an error field, and add a threshold alert for a sustained increase. Start with representative data and retention needs before sending a high-volume stream, because the cloud tier is metered on ingested data. The quickstart's sample event is a documented example, not a result from a live Parseable instance.

The self-hosted OSS edition is free and licensed under AGPLv3. Running it yourself means you own deployment, storage, and upgrades. Parseable Cloud is managed and has a trial, while the pricing page also lists an Enterprise option with custom deployment choices. If a team distributes or modifies the self-hosted software, it should review the AGPL terms against its use case.

Strengths

  • Brings logs, metrics, traces, SQL and PromQL queries, dashboards, and alerting into a single observability platform.
  • Offers both a free, self-hosted AGPLv3 edition and a managed cloud service.
  • The quickstart supports trying the query flow locally before choosing a production deployment.

Watch out for

  • Self-hosting leaves deployment and storage operations to the team, while cloud costs depend on ingested telemetry volume.
  • The self-hosted repository is AGPLv3 licensed, which may require legal review for some distribution or modification plans.

Best for

  • Teams querying logs, metrics, and traces from one observability data store
  • Evaluating a self-hosted telemetry platform before moving to a managed cloud service
  • Building SQL or PromQL dashboards and threshold alerts over ingested observability data

Sources