OpenObserve is an open-source, petabyte-scale observability platform built for the AI era. It unifies logs, metrics, traces, and frontend monitoring into a single high-performance solution. It drastically reduces infrastructure costs (up to 140x lower storage vs. Elasticsearch) while offering enterprise-grade reliability and scalability.
Freemium
from $0.50/GB
How to use OpenObserve?
Deploy OpenObserve either self-hosted or via their cloud. Ingest your logs, metrics, and traces using OpenTelemetry or other standard protocols. Use the platform to query data in seconds, set up alerts, build dashboards, and create data pipelines. It helps DevOps and SRE teams monitor complex systems, troubleshoot issues faster, and optimize infrastructure costs at scale.
OpenObserve 's Core Features
Fully open-source platform (AGPL-3.0) allowing for community contributions, security audits, and complete control over your observability data and stack.
Delivers extreme cost efficiency with 140x lower storage costs compared to Elasticsearch and high compression (~40x) using Apache Parquet columnar storage.
Built for petabyte-scale performance, written in Rust and utilizing the DataFusion query engine to return queries on 1PB of data in under 2 seconds.
Offers a unified observability suite covering logs, metrics, traces, frontend monitoring (RUM), session replay, error tracking, alerts, and dashboards.
Supports flexible storage with 'Bring Your Own Bucket' for efficient long-term storage on local disk, S3, MinIO, GCS, or Azure Blob Storage.
Embraces open standards like OpenTelemetry for compatibility and provides a stateless architecture for easy horizontal scaling without data complexity.
Includes AI-powered features like the O2 AI Assistant for incident management and sensitive data redaction pipelines for enhanced security and compliance.
OpenObserve 's Use Cases
Engineering teams at scaling startups can replace expensive SaaS observability tools, gaining full control and cutting costs by over 90% while maintaining performance.
Enterprise DevOps in Fortune 500 companies can consolidate monitoring data from Azure, AWS, GCP, and Kubernetes into one pane of glass at petabyte scale.
SREs managing microservices architectures can quickly trace issues across distributed systems using integrated logs, metrics, and traces with blazing fast queries.
Platform engineering teams can offer internal observability as a service with role-based access control, using OpenObserve's self-hosted, stateless nodes.
Companies with strict data sovereignty requirements can deploy on-premise or in their own cloud, keeping all data in-region while using a modern observability stack.
Developers building AI applications can monitor model performance, API latency, and resource utilization metrics alongside traditional application logs in one platform.
IT and FinOps teams can analyze cloud spend by correlating infrastructure metrics with cost data, identifying inefficiencies and optimizing resource allocation.
OpenObserve 's Pricing
Cloud Pay As You Go
from $0.50 per GB ingestion
Pay only for what you ingest and query. Includes logs, metrics, traces, RUM, session replay, error tracking, 15-day retention, unlimited users, and RBAC.
Enterprise
Contact Sales
For organizations with advanced needs. Includes premium support, deployment flexibility (Public Cloud or BYOC), architecture reviews, and volume discounts.
