OpenObserve raises $10M Series A and launches Observability 3.0
High-performance, unified observability for the AI era.
OpenObserve: Lightweight, Petabyte-Scale Observability, 90% Cost Savings - YouTube
OpenObserve: Lightweight, Petabyte-Scale Observability, 90% Cost Savings
From Fortune 500 Giants to Innovative Startups: These Companies + 7,000 Others Rely on OpenObserve
Why OpenObserve?
Efficiency
Drastically reduce infrastructure costs
Performance
Blazing speed meets enterprise reliability
Scalability
Operate at petabyte scale
Explore the OpenObserve Platform
A modern, scalable architecture designed for high performance and low cost
It's in Our DNA: Open
- Source
- Standards
- Protocols
- Observability
- Design
- Community
Open Source
Our code is fully open source, allowing for community contributions, security audits, and complete control over your observability data.
- AGPL-3.0 license
- Active community
- Transparent development
Open Standards
We embrace and contribute to industry standards, ensuring compatibility and interoperability with your existing tools and workflows.
- OpenTelemetry compatible
- Standard API interfaces
- Vendor-neutral approach
Efficiency
"OpenObserve has proven to be a reliable and cost-effective solution built to address real-world challenges."
Wayne Creel
CTO, ONEngine
Lower Storage Costs
140x lower storage cost when benchmarked against Elasticsearch.
High Compression
OpenObserve provides high compression (~40x), columnar storage with Apache Parquet.
Bring Your Own Bucket
OpenObserve supports efficient long-term storage including local disk, S3, MinIO, GCS, and Azure Blob Storage.
Performance
"[OpenObserve is] super fast, definitely very lightweight, and you can get started with an initial POC in two to three minutes to be honest."
Ajith Natarajan
Lead Software Engineer, Radius.ai
Performant Language
OpenObserve is written in Rust.
Performant Architecture
OpenObserve utilizes the DataFusion query engine to directly query Parquet files.
Performant Platform
Internal query benchmarking of 1 petabyte of data returned in 2 seconds.
Scalability
"Today, I think we run our entire production logs through OpenObserve... it’s been a phenomenal journey so far."
Shailesh Mangal
CTO, Decklar
Enterprise Scale
Providing self-hosted logging for Fortune 100 Enterprises.
Stateless Architecture
OpenObserve’s stateless node architecture allows horizontal scaling without data complexity.
Performant at Scale
OpenObserve uses result and disk caching to keep the platform performant, even at scale.
Ready to get started?
Try OpenObserve today for more efficient and performant observability.