CheckOps
Parseable
Parseable is an AGPL-3.0, Rust-based open-source observability data lake that stores logs, metrics and traces as Parquet on object storage, with alerting, dashboards, anomaly detection, APM, PromQL and SQL in a single binary.
- Open source
- Free tier
- Paid
- SaaS
- Self Hosted
- Rust
- Logging
- Tracing
- Apm
- Observability
- Monitoring
- Production monitoring & observability
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Introduction
Parseable is an open-source, columnar data lake platform built for observability. You send logs, metrics and traces through popular logging agents, OpenTelemetry, Kafka, eBPF or other integrations, then use native alerting, dashboards, anomaly detection, APM, PromQL and SQL, all within a single binary.
Its architecture separates stateless compute from object storage, which keeps costs down; it is written in Rust and uses open Parquet files and open standards. Columnar design helps with high-cardinality data. It can be deployed on public or private clouds or used as managed Parseable, and views include service maps, an error page, AI analysis and root-cause analysis.
For test and QA teams, cheap, long-retention logs make it easier to investigate flaky test environments and compare behaviour across releases.
The source code is at parseablehq/parseable on GitHub under the AGPL-3.0 licence, with about 2,600 stars; the most recent commit was on 11 November 2026.
Launch and background: Parseable was posted to Hacker News as a Show HN on 6 October 2026.
Features
- Data lake architecture: Stateless compute over object storage.
- Open Parquet: No proprietary storage format.
- Multiple ingest paths: OpenTelemetry, Kafka, eBPF and agents.
- SQL and PromQL: Familiar query languages.
- Alerts and anomaly detection: Built in.
- Single binary: Simple deployment.
Pros
- Low storage cost: Object storage based.
- Free to use: Open source under the AGPL-3.0 licence, so the core tool costs nothing to use.
- Actively maintained: The repository had commits as recent as 11 November 2026.
Cons
- AGPL-3.0: Copyleft licence.
- Younger ecosystem: Fewer integrations than incumbents.
Usage and Links (Example)
curl -fsSL https://logg.ing/install | bash
Then send data via OpenTelemetry or the HTTP ingest API and query it with SQL.
Resources:
Pricing
Parseable is free and open source under the AGPL-3.0 licence.
Recommended for?
- Teams with high log volumes and tight budgets.
Conclusion
Parseable is a cost-efficient, open-format observability store.
Pilot it with one high-volume service.
On CheckOps, Parseable is filed under the Production monitoring & observability stage. Related tools listed here include OpenObserve, Grafana Loki, SigNoz, Datadog, Coralogix and Uptrace. Before standardising on one, compare recent maintenance activity, the pricing model as your usage grows, and the integrations you rely on today. Information on this page was verified against the official website, documentation and repository on 11 November 2026.
Compare
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Roundups
Alternatives
Other tools on CheckOps that cover similar ground. Open a page, or compare one with Parseable side by side.
OOpenObserveOpenObserve is an AGPL-3.0 observability platform for logs, metrics, traces, RUM, session replay, pipelines, SLOs and LLM observability, deployed as a single binary.Compare with Parseable
GGrafana LokiGrafana Loki is an AGPL-3.0 log aggregation system, "like Prometheus, but for logs", that indexes labels rather than full text to keep costs low.Compare with Parseable
SSigNozSigNoz is an OpenTelemetry-native observability platform with logs, metrics, traces, alerts and dashboards in one place; open-source self-hosted, plus SigNoz Cloud with a 30-day trial and usage pricing from $49.Compare with Parseable
DDatadogDatadog is a commercial cloud platform for metrics, traces, logs, and security signals. Products are priced separately.Compare with Parseable
CCoralogixCoralogix is an observability platform for logs, metrics, traces and security data that stores data in your own cloud bucket, priced per GB by data type.Compare with Parseable
UUptraceUptrace is an AGPL-3.0 open-source APM built on OpenTelemetry for traces, metrics and logs, storing data in ClickHouse, with self-hosted and cloud options.Compare with Parseable