parseable
Parseable is an open-source observability platform written in Rust that consolidates logs, metrics, traces, and events into a single system. It uses a columnar data lake architecture on object storage (like S3) to reduce storage costs by up to 90% and provides dashboards, alerting, APM, and PromQL queries without requiring separate tools.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | parseablehq/parseable |
| Owner | parseablehq |
| Primary language | Rust |
| License | AGPL-3.0 — OSI-approved |
| Stars | 2.4k |
| Forks | 166 |
| Open issues | 23 |
| Latest release | v2.9.3 (2026-06-27) |
| Last updated | 2026-07-06 |
| Source | https://github.com/parseablehq/parseable |
What parseable is
Built in Rust with a stateless compute-over-object-storage design, Parseable ingests telemetry via OpenTelemetry, logging agents, Kafka, and eBPF. It stores data in Parquet format for compression, supports PromQL and SQL querying, and decouples storage and compute scaling. The single-binary deployment can run self-hosted or as a managed cloud service.
Get the parseable source
Clone the repository and explore it locally.
git clone https://github.com/parseablehq/parseable.gitcd parseable# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Default credentials (admin/admin) must be changed immediately in production; refer to hardening guide in installation docs.
- Requires object storage backend (S3, S3-compatible, or similar); ensure MinIO, cloud S3, or equivalent is provisioned and secured before deployment.
- Columnar Parquet format and data lake design are efficient but require validation that query patterns and retention policies align with your telemetry volume and cost model.
- Stateless compute design means horizontal scaling is feasible but requires load-balancing and object-storage consistency guarantees; test failover scenarios.
- Integration with existing logging agents (Fluentd, Logstash, vector) and OTel collectors is native but may require configuration tuning for high-throughput environments.
When to avoid it — and what to weigh
- Proprietary closed-source requirement — AGPL-3.0 requires source code disclosure for network services. Organizations with strict proprietary software policies or unwilling to open-source modifications must obtain commercial license or choose alternative.
- Need commercial SLA or vendor support — No evidence of official commercial support, SLAs, or enterprise contracts in provided data. High-reliability production workloads requiring vendor-backed guarantees may require community support or commercial license negotiation.
- Extremely large pre-existing Prometheus/Grafana stack — If you have a mature, deeply customized Prometheus and Grafana setup with complex rules and custom exporters, migration friction may be high. Parseable offers compatibility but not drop-in replacement for all advanced Prometheus features.
- Air-gapped or restricted network environments — Single-binary deployment requires Rust runtime and external object storage access. Organizations with strict offline-only or network-isolated requirements should verify feasibility of dependency chain and S3-compatible storage access.
License & commercial use
Licensed under AGPL-3.0. This is a copyleft open-source license requiring that any modifications or network service deployments disclose full source code. Use of unmodified binary as-is is permissible; modifications or SaaS deployment require source availability.
AGPL-3.0 permits commercial use of the unmodified software, but any network-service deployment (including self-hosted internal use) must comply with source-code-disclosure obligations. Organizations seeking proprietary modifications or closed-source SaaS deployments should contact maintainers regarding commercial licensing terms—not documented in provided data.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Strong |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Strong |
| Assessment confidence | High |
Default credentials (admin/admin) pose immediate risk if not changed. AGPL source-code obligation means security-by-obscurity cannot be relied upon. No security audit, penetration test, or vulnerability disclosure process mentioned in provided data. Authorization header usage in API examples is basic; review authentication and encryption in production deployments. Object-storage credentials and network transport security must be hardened separately. Self-hosted responsibility lies fully with deployer.
Alternatives to consider
Elasticsearch/ELK Stack (Elastic License or Open)
Mature, widely adopted for logs and traces; strong Kibana visualization and advanced query features. Higher storage costs and more operational complexity than Parseable; commercial license required for advanced features.
Grafana Loki + Prometheus + Tempo (AGPL/SSPL)
Decoupled, best-of-breed components with large communities. Requires more operational glue, but simpler license model. Loki offers log storage without expensive indexing; Tempo focuses on traces separately.
Datadog / New Relic / Splunk (Commercial SaaS)
Full-featured hosted observability with vendor support, SLAs, and deep integrations. Higher per-GB cost and lock-in; suitable if vendor support and managed operations are priority.
Build on parseable with DEV.co software developers
Try Parseable free with the 14-day cloud trial (no credit card required), or download the binary and run locally. Review the AGPL-3.0 license and hardening guide before production deployment.
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parseable FAQ
Can I modify Parseable for internal use without open-sourcing changes?
How does columnar compression achieve 90% cost reduction?
Is Parseable a drop-in replacement for Prometheus + Grafana?
What object storage does Parseable support?
Software developers & web developers for hire
DEV.co helps companies turn open-source tools like parseable into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your open-source devops stack.
Ready to consolidate your observability stack?
Try Parseable free with the 14-day cloud trial (no credit card required), or download the binary and run locally. Review the AGPL-3.0 license and hardening guide before production deployment.