Open-Source Observability · openobserve

openobserve

OpenObserve is an open-source observability platform for logs, metrics, traces, and frontend monitoring, positioned as a cost-effective alternative to Datadog and Elasticsearch. It uses Parquet columnar storage and S3-native architecture to achieve claimed 140x lower storage costs and deploys as a single binary.

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Source: GitHub — github.com/openobserve/openobserve

19.8k

GitHub stars

906

Forks

TypeScript

Primary language

AGPL-3.0

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	openobserve/openobserve
Owner	openobserve
Primary language	TypeScript
License	AGPL-3.0 — OSI-approved
Stars	19.8k
Forks	906
Open issues	579
Latest release	v0.91.1 (2026-07-02)
Last updated	2026-07-08
Source	https://github.com/openobserve/openobserve

What openobserve is

Built in Rust and TypeScript, OpenObserve implements stateless architecture with S3-backed storage, partitioning, indexing, and caching to enable petabyte-scale observability. It supports OpenTelemetry natively, offers SQL and PromQL query languages, and includes native multi-tenancy with data isolation.

Quickstart

Get the openobserve source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/openobserve/openobserve.git2cd openobserve3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Cost-Sensitive Large-Scale Log and Metrics Ingestion

Organizations ingesting terabytes of observability data daily, particularly those currently on Elasticsearch or Splunk. The Parquet+S3 architecture and claimed 140x cost reduction make this attractive for high-volume scenarios.

Self-Hosted or Hybrid Observability Stack

Teams requiring on-premise or hybrid deployment with full control over infrastructure. Single binary deployment significantly reduces operational overhead vs. distributed systems like Elasticsearch.

OpenTelemetry-Native Observability Consolidation

Organizations standardizing on OpenTelemetry and seeking vendor-neutral tooling. Unified platform for logs, metrics, traces, and RUM eliminates integration complexity across multiple specialized tools.

Implementation considerations

AGPL-3.0 license requires legal review for commercial/SaaS deployment; copyleft obligations may restrict proprietary modifications or embedding.
Pre-1.0 versioning (v0.91.1) with 579 open issues indicates potential breaking changes; plan for API stability review before production rollout.
S3-native architecture requires AWS/compatible object storage and network latency considerations; assess costs of S3 egress and storage tier selection.
Single binary deployment simplifies initial setup, but multi-region HA and federated search are noted as Enterprise features—clarify license tier early.
OpenTelemetry native support is present but underlying collector/agent integration depth and performance at scale requires practical validation in your environment.

When to avoid it — and what to weigh

Requires Strict Proprietary/Permissive Licensing — AGPL-3.0 imposes copyleft obligations; any modifications or embedding in commercial products must open-source derivative work. Verify your commercial use case with legal review before committing.
Need Guaranteed Enterprise SaaS with Vendor Lock-In Acceptance — If you prefer a fully managed, hands-off SaaS experience and vendor accountability, Datadog or Splunk Cloud may better match your operational model and SLAs.
Zero Tolerance for Early-Stage/Rapidly Evolving APIs — v0.91.x indicates pre-1.0 stability. 579 open issues suggest breaking changes and feature volatility. Production adoption requires acceptance of ongoing API churn and deprecations.
Require Compliance Certifications Not Yet Published — Data provided does not confirm SOC 2, ISO 27001, HIPAA, or PCI-DSS certifications. Verify compliance posture independently if regulatory requirements are mandatory.

License & commercial use

AGPL-3.0 (GNU Affero General Public License v3.0). Copyleft license requiring derivative works, modifications, and networked software to be open-sourced under AGPL. Source code must be provided to users of modified versions. Requires legal review for commercial deployments, SaaS offerings, or embedded proprietary use.

AGPL-3.0 is not a permissive OSI license for commercial use without obligations. Self-hosting and internal use are permitted, but commercial SaaS offerings, vendored integrations, and proprietary modifications trigger source disclosure requirements. Requires legal counsel to confirm compliance with your commercial model before production adoption.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	Low
DEV.co fit	Good
Assessment confidence	High

Security considerations

AGPL-3.0 requires code review and contribution audit to detect upstream vulnerabilities; proprietary modifications create separate attack surface. Data is S3-backed; encryption at rest/transit, IAM delegation, and network isolation depend on S3/cloud setup, not platform alone. Multi-tenancy isolation requires independent security audit. No information provided on vulnerability disclosure process or security certifications (SOC 2, HIPAA, etc.); assess against your compliance baseline.

Alternatives to consider

Elasticsearch + Kibana

Established, permissively licensed (SSPL for newer versions; prior versions AGPL), broader integrations and community. Higher storage costs and operational complexity; SLA guarantees from vendors available.

Datadog

SaaS-only, proprietary, vendor-managed, compliance certifications (SOC 2, etc.), mature APIs. Higher costs and lock-in; no self-hosting option or open-source transparency.

Grafana + Prometheus + Loki

Modular, permissively licensed (AGPL Loki, Apache Grafana/Prometheus), large ecosystem. Requires more operational glue; RUM and trace support are less unified than OpenObserve.

Software development agency

Build on openobserve with DEV.co software developers

Confirm AGPL-3.0 compliance with your legal team, test the Docker deployment in your environment, and validate cost claims with a POC. Contact Devco for guidance on licensing, deployment architecture, and integration strategy.

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openobserve FAQ

Can I use OpenObserve in a commercial SaaS product?

Not without open-sourcing modifications. AGPL-3.0 copyleft requires derivative works to be open-sourced. Consult legal counsel before embedding or modifying for commercial use; consider a commercial license or alternative if proprietary modifications are non-negotiable.

What is the storage cost advantage, and how is it measured?

The claimed '140x lower cost' vs. Elasticsearch is based on Parquet columnar compression + S3 storage. This is a marketing claim; costs vary with query patterns, compression ratios, and S3 pricing. Validate with a POC using your data volume and query workload.

Is OpenObserve production-ready?

README claims 'production ready' with thousands of deployments and 2+ PB/day at largest scale. However, v0.91.x is pre-1.0, and 579 open issues indicate ongoing instability. Production use is possible but requires acceptance of potential breaking changes and independent testing.

What are the trade-offs of the S3-native architecture?

Pros: lower storage costs, high durability, easier scaling. Cons: query latency is dependent on S3 latency and network I/O; caching becomes critical; egress costs may offset storage savings if data is frequently exported or queried across regions.

Work with a software development agency

DEV.co helps companies turn open-source tools like openobserve 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 observability stack.

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