OpenObserve
UnclaimedOpen source, petabyte-scale observability for logs, metrics, and traces at a fraction of the cost.
Visit WebsiteTL;DR - OpenObserve
- Open-source observability for logs, metrics, and traces.
- Achieves 140x lower storage cost and petabyte-scale performance.
- Offers unified data correlation for faster root cause analysis.
Pricing: Paid only
Best for: Enterprises & pros
Pricing Plans
Free TrialPay As You Go
Pay for what you use
- Logs, Metrics & Traces Ingestion: $0.50 per GB
- Logs, Metrics & Traces Query: $0.01 per GB
- Pipelines Data processed: $0.20 per GB
- Pipelines Each additional destination: $0.30 per GB
- Real User Monitoring (RUM): $0.15 / 1K sessions
- Session Replay: $1.00 / 1K sessions
- Error Tracking: $0.15 / 1K events
- Sensitive Data Redaction: $0.15 / GB
- Incident Management: $0 during preview
- AI Assistant: $0 during preview
- AI SRE Agent: $0 during preview
- Audit Trail: 2% of monthly spend
- Retention: 15-Days Included
- Additional Retention: $0.10 / 30 days
- Unlimited Users
- Role-Based Access Control (RBAC)
Enterprise
Contact Sales
- Premium support
- Deployment flexibility (Public Cloud, or Bring Your Own Cloud)
- Architecture reviews
- Volume discounts
- Logs, Metrics & Traces Ingestion: $0.50 per GB
- Logs, Metrics & Traces Query: $0.01 per GB
- Pipelines Data processed: $0.20 per GB
- Pipelines Each additional destination: $0.30 per GB
- Real User Monitoring (RUM): $0.15 / 1K sessions
- Session Replay: $1.00 / 1K sessions
- Error Tracking: $0.15 / 1K events
- Sensitive Data Redaction: $0.15 / GB
- Incident Management: $0 during preview
- AI Assistant: $0 during preview
- AI SRE Agent: $0 during preview
- Audit Trail: 2% of monthly spend
- Retention: 15-Days Included
- Additional Retention: $0.10 / 30 days
- Unlimited Users
- Role-Based Access Control (RBAC)
About OpenObserve
OpenObserve is an open-source observability platform designed to help organizations of all sizes, from Fortune 500 giants to innovative startups, manage their logs, metrics, and traces efficiently and cost-effectively. It provides a unified platform for comprehensive visibility into infrastructure performance, health, and resource utilization, enabling faster root cause analysis and reduced mean time to resolution (MTTR).
The platform is built with a modern, scalable architecture in Rust, utilizing the DataFusion query engine for high performance and low cost. It supports petabyte-scale data ingestion and querying, offering significant storage cost reductions through high compression and columnar storage with Apache Parquet. OpenObserve is compatible with OpenTelemetry and other industry standards, ensuring interoperability with existing tools and workflows. It offers both cloud-hosted and self-hosted deployment options, allowing users to bring their own storage buckets like S3, MinIO, GCS, and Azure Blob Storage.
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OpenObserve FAQ
OpenObserve is an open-source observability platform that unifies logs, metrics, and traces. It's designed for high performance, petabyte-scale data handling, and significantly lower costs compared to traditional solutions, enabling faster root cause analysis for distributed systems.
OpenObserve offers a 'Pay As You Go' model for its cloud service with a 14-day free trial. Ingestion costs $0.50 per GB, queries cost $0.01 per GB, and pipelines cost $0.20 per GB of data processed. Additional costs apply for features like Real User Monitoring, Session Replay, Error Tracking, Sensitive Data Redaction, and additional data retention. Incident Management, AI Assistant, and AI SRE Agent are currently $0 during preview.
OpenObserve is freemium. It offers a 14-day free trial for its cloud service, and its core code is fully open source, allowing for self-hosting and community contributions. However, advanced features and cloud usage incur costs based on a 'Pay As You Go' model.
OpenObserve is for organizations of all sizes, from Fortune 500 companies to startups, that need efficient, scalable, and cost-effective observability for their distributed systems. It's particularly beneficial for engineering teams looking to reduce telemetry costs, improve performance, and gain unified insights from their logs, metrics, and traces.