目录

OpenObserve

Open source Datadog alternative for logs, metrics, traces, and frontend monitoring. Modern observability platform: 10x easier, 140x lower storage cost, high performance, petabyte scale.

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OpenObserve (O2) is a cloud-native observability tool built for logs, metrics, traces, analytics, and Real User Monitoring (RUM). It’s designed as a cost-effective alternative to Datadog, Splunk, and Elasticsearch for teams that need full observability without the complexity or cost.

Why OpenObserve?

OpenObserve is a single observability tool for all your monitoring needs. Here’s why teams choose OpenObserve:

Benefit Description
140x Lower Storage Cost Parquet columnar storage + S3-native architecture dramatically reduces costs vs Elasticsearch
Single Binary Deployment Get running in under 2 minutes. No complex cluster setup required
OpenTelemetry Native Built on OpenTelemetry standard—no vendor lock-in
Unified Platform Logs, metrics, traces, RUM, dashboards, alerts in one tool
High Performance Better query performance than Elasticsearch on 1/4 the hardware
SQL + PromQL Query logs/traces with SQL, metrics with SQL or PromQL—no proprietary query language
Built in Rust Memory-safe, high-performance, single binary

Cost Comparison: OpenObserve Vs Elasticsearch OpenObserve Vs Elasticsearch

🎥 Introduction Video

OpenObserve Introduction

🏗️ Architecture

OpenObserve achieves 140x lower storage costs and high performance through its modern architecture:

  • Parquet columnar storage: Efficient compression and query performance
  • S3-native design: Leverages inexpensive object storage with intelligent caching
  • Built in Rust: Memory-safe, high-performance, single binary deployment
  • Partitioning, indexing and smart caching: Reduces search space by up to 99% for most queries
  • Native multi-tenancy: Organizations and streams as first-class concepts with complete data isolation
  • Stateless architecture: Enables rapid scaling and low RPO/RTO for disaster recovery

This architecture delivers 140x cost savings while providing better performance than Elasticsearch.

Scale & Deployment

  • Thousands of concurrent users can query a single cluster simultaneously
  • Single binary scales to terabytes - unique in the observability space
  • High Availability mode scales to petabytes for the most demanding workloads
  • Multi-region deployments with cluster federation via Super Cluster architecture (Enterprise feature)
  • Federated search across regions and clusters (Enterprise feature)
  • Capacity planning tools to size deployments for your workload

High Availability & Disaster Recovery

Deploy in High Availability mode with clustering for mission-critical workloads requiring maximum uptime and performance.

Low RPO/RTO: OpenObserve’s stateless architecture with S3-backed storage enables very low Recovery Point Objective (RPO) and Recovery Time Objective (RTO). Stateless nodes can be rapidly restarted, and data durability is guaranteed by S3’s 99.999999999% (11 nines) durability. That’s a lot of nines.

Read detailed architecture documentation →

Read enterprise deployment guide →

Features

For a full list of features, check the documentation.

Logs Management

OpenObserve provides a centralized log management solution with full-text search, SQL queries, and powerful filtering. Built on Parquet columnar storage for 140x lower storage costs than Elasticsearch. Instantly search through all your logs using quick filters and a powerful query builder. Create dashboards from log data and set up alerts. Read more →

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Distributed Tracing

Distributed tracing is essential to troubleshoot issues in microservices applications. Powered by OpenTelemetry, tracing in OpenObserve helps you track user requests across services to identify performance bottlenecks. See user requests in a detailed breakdown with Flamegraphs and Gantt Charts. Click on any span to see the entire trace and understand where issues occurred. Read more →

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Metrics & Dashboards

Ingest metrics from your infrastructure or applications and create customized dashboards. 19+ built-in chart types plus custom charts for 200+ visualization variations. Query metrics with SQL or PromQL. Add multiple queries and combine them with formulae. Read more →

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Frontend Monitoring (RUM)

Real User Monitoring with performance tracking, error logging, and session replay. Understand exactly what your users experience. Read more →

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Alerts

Get notified when anything unusual happens in your application. Set alerts on any telemetry signal (logs, metrics, traces), create thresholds, and configure notification channels. Advanced features like alert history and anomaly detection help you identify issues before they reach your customers. Read more → image

Pipelines

Enrich, redact, reduce, or normalize data on ingest. Stream processing for logs-to-metrics conversion and more. No external tools required. Read more →

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Getting Started

OpenObserve Cloud (Fastest Way)

Get started in minutes without managing infrastructure. Free tier includes up to 200 GB/day ingestion. Get Started Free →

🐳 Docker:

docker run -d \
      --name openobserve \
      -v $PWD/data:/data \
      -p 5080:5080 \
      -e ZO_ROOT_USER_EMAIL="root@example.com" \
      -e ZO_ROOT_USER_PASSWORD="Complexpass#123" \
      public.ecr.aws/zinclabs/openobserve:latest

For other ways to quickly install OpenObserve or use OpenObserve cloud, check quickstart documentation.

For installing OpenObserve in High Availability mode, check High Availability deployment documentation.

Production Ready

OpenObserve is battle-tested in production environments worldwide:

  • Thousands of active deployments across diverse industries
  • Largest deployment: 2+ PB/day ingestion
  • Single binary scales to terabytes—unique in the observability space

Customer Stories →

Comparisons to Familiar Tools

OpenObserve vs Datadog

Aspect OpenObserve Datadog
Deployment Self-hosted or Cloud SaaS only
Pricing model Per-GB (free up to 200GB/day) Per-host + per-GB
Open source Yes (AGPL-3.0) No
OpenTelemetry Native OTLP Supported
Query language SQL + PromQL Proprietary
Vendor lock-in None High

OpenObserve is a Datadog alternative that gives you full control over your data and costs.

OpenObserve vs Elasticsearch

Aspect OpenObserve Elasticsearch
Storage cost 140x lower High (hot/warm/cold tiers)
Setup complexity Single binary Complex cluster management
Query language SQL Lucene/KQL
Hardware requirements 1/4 the resources High memory/CPU

OpenObserve achieves 140x lower storage costs through Parquet columnar format and S3-native architecture.

OpenObserve vs Splunk

Aspect OpenObserve Splunk
Licensing Open source Expensive enterprise licensing
Deployment Single binary or HA cluster Complex
Query language SQL + PromQL SPL (proprietary)
Cost Predictable, low Unpredictable, high

OpenObserve is an open-source Splunk alternative without the licensing complexity.

OpenObserve vs Grafana/Loki/Prometheus Stack

Aspect OpenObserve Grafana Stack
Components Single platform Multiple tools (Grafana + Loki + Prometheus + Tempo)
Management One binary Multiple deployments
High cardinality Full support Loki struggles with high cardinality
Query performance Fast on large volumes Loki slow on large data

OpenObserve consolidates logs, metrics, and traces in one platform instead of stitching together multiple tools.

📷 Screenshots

OpenObserve includes a powerful web UI for logs, traces, dashboards, alerts, and more.

Logs

Distributed Tracing

Trace details page with full request flow visualization: Traces using OpenTelemetry

Dashboards

Dashboard

Frontend Monitoring

Real user monitoring with session replay: Session replay

See more screenshots

Home

Home

Golden Metrics from Traces

Traces golden metrics

More Dashboard Examples

Dashboard Create panel Map

Performance Analytics

Performance

Error Tracking

Error tracking

Alerts

Alerts

Streams

Streams

Ingestion

Ingestion

Pipeline

Pipeline

Functions

Function

🔐 Security & Compliance

Security Features

  • Highly secure architecture with secure container images
  • Sensitive Data Redaction (SDR): Automatically redact sensitive data during ingestion and query time (Enterprise feature)
  • Data encryption: At rest and in transit
  • Single Sign-On (SSO): OIDC, OAuth, SAML, LDAP/AD integration (Enterprise feature)
  • Role-Based Access Control (RBAC): Granular permissions management (Enterprise feature) - Learn more →

Compliance Certifications

  • SOC 2 Type II certified
  • ISO 27001 certified
  • GDPR compliant
  • HIPAA ready (BAA available with Enterprise contracts)

OpenObserve meets the stringent security and compliance requirements of regulated industries including finance, healthcare, and government.

⚖️ License

Open Source Edition: Licensed under AGPL-3.0. We chose AGPL to ensure that improvements to OpenObserve remain open source and benefit the entire community. This license protects the commons while still allowing free commercial use.

Enterprise Edition: Licensed under a commercial Enterprise License Agreement, not AGPL. This provides additional flexibility for enterprise deployments and eliminates any concerns about AGPL requirements.

For more details:

💼 Enterprise Support

OpenObserve is built as a true open source project, and we’re committed to the community. The open source version is feature-complete and production-ready - it includes logs, metrics, traces, dashboards, alerts, pipelines, and everything you need to run observability at scale. It will always remain actively maintained and free to use without restrictions.

Enterprise Edition

For organizations requiring enterprise-grade features and support, we offer an Enterprise edition with:

Enterprise Features:

  • Single Sign-On (SSO): OIDC, OAuth, SAML 2.0, LDAP/AD, and integration with major identity providers (Okta, Azure Entra, Google, GitHub, GitLab, Keycloak)
  • Advanced RBAC: Granular role-based access control with custom roles and permissions - Learn more →
  • Audit trails: Comprehensive immutable audit logs with configurable retention
  • Federated search: Query across multiple clusters and regions with Super Cluster
  • Sensitive Data Redaction (SDR): Automatically redact PII and sensitive data during ingestion and queries
  • Advanced encryption: AES-256 SIV cipher keys with Google Tink KeySet and Akeyless integration
  • Query management: Control query resource usage and priorities
  • Workload management (QoS): Quality of Service controls for multi-tenant environments

Enterprise Support & SLAs:

  • Dedicated support with contractual SLA guarantees
  • Priority response times for critical issues
  • Technical account management
  • Architecture review and deployment assistance
  • Migration support from existing tools
  • Training and onboarding programs

Pricing:

  • Free tier: Up to 200 GB/day of ingestion (roughly 6 TB/month), including full commercial use
  • Registration required at 100 GB/day
  • Volume discounts and multi-year contracts available
  • View complete feature comparison →

For enterprise inquiries and custom deployments, contact our sales team.

🤝 Contributing

We welcome contributions from the community! Whether you’re fixing bugs, adding features, improving documentation, or sharing feedback, your help makes OpenObserve better for everyone.

To get started, please read our Contributing Guide which covers:

  • How to set up your development environment
  • Code standards and best practices
  • How to submit pull requests
  • Reporting bugs and requesting features

🌍 Community

The best way to get help, share ideas, and connect with other OpenObserve users is through our community channels. We’re a friendly group of developers, operators, and observability enthusiasts.

🔗 Join us on Slack

Slack

Our Slack community is the most active place for:

  • Getting help with installation and configuration
  • Sharing best practices and use cases
  • Discussing feature requests and roadmap
  • Connecting with the core team and other users

Join the conversation →

📱 Join OpenObserve community on WeChat

Other ways to connect

❓ FAQ

How does OpenObserve achieve 140x lower storage costs?

Through a combination of Parquet columnar storage format (efficient compression), S3-native architecture (leveraging inexpensive object storage). See the detailed comparison chart in the “Why OpenObserve?” section above.

What are the limitations?

All data in OpenObserve is immutable - once ingested, it cannot be modified or deleted (only entire retention periods can be dropped). This is by design and is actually a feature for logs and compliance requirements, ensuring data integrity and audit trails.

Is this production-ready?

Yes. OpenObserve is running in production with thousands of deployments worldwide, including environments processing in excess of 2 PB/day. See our customer stories for real-world examples.

How does query performance compare to Elasticsearch?

OpenObserve delivers better performance than Elasticsearch for most workloads. Users report faster search performance and significantly faster analytics queries, all while using 1/4th the hardware resources. The columnar storage format (Parquet) is particularly effective for complex aggregations and analytics workloads.

Is there a steep learning curve?

No. OpenObserve is designed to be intuitive from day one:

  • Familiar query languages: Use SQL for logs and traces, PromQL for metrics - no proprietary query language to learn
  • Easy-to-use GUI: Intuitive interface with drag-and-drop dashboard builder
  • Helpful community: Active Slack community and comprehensive documentation to help you get started quickly
  • No complex tuning: Unlike Elasticsearch, you don’t need to understand shards, replicas, heap sizes, or other complex configurations. Just install and go.

Most users are productive within hours, not weeks. Some even claim minutes, but we’ll let you be the judge.

🔐 SBOM

Software Bill of Materials for OpenObserve

Rust

SBOM can be found here. You can analyze it using dependency track.

In order to generate the SBOM, you can use the following commands:

Install cargo-cyclonedx:

cargo install cargo-cyclonedx

Generate the SBOM:

cargo-cyclonedx cyclonedx

JavaScript

SBOM can be found here. You can analyze it using dependency track.

In order to generate the SBOM, you can use the following commands:

Install cyclonedx-npm:

npm install --global @cyclonedx/cyclonedx-npm

Generate the SBOM:

cd web
cyclonedx-npm > sbom.json
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