OpenObserve

Logging & Monitoring

OpenObserve is an open-source observability platform that ingests logs, metrics, traces, real user monitoring (RUM), and pipeline data into a single S3-native Parquet architecture, claiming 140x lower storage costs than legacy stacks.

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OpenObserve provides a unified, open-source observability platform that ingests logs, metrics, traces, and real user monitoring data into a single S3-native architecture, with embedded AI for anomaly detection and autonomous incident response.

OpenObserve is an open-source observability platform that ingests logs, metrics, traces, real user monitoring (RUM), and pipeline data into a single S3-native Parquet architecture, claiming 140x lower storage costs than legacy stacks. Founded in 2022 by Prabhat Sharma, the company is headquartered in San Francisco with an Indian entity (OpenObserve Software India Private Limited) incorporated in June 2023 in Pune. As of April 2026, OpenObserve had raised a $10 million Series A led by Nexus Venture Partners and Dell Technologies Capital, both of which also led the seed round.

The company reported revenue of ₹4.07 crore (approximately $490,000) for the Indian entity for the fiscal year ending March 31, 2025, up from the prior year. Over 7,000 organizations are running the platform, and the open-source GitHub repository has 19,200 stars as of June 2026. In April 2026, OpenObserve launched its 'Observability 3.0' capabilities, including an autonomous AI site reliability engineer (AI SRE), anomaly detection, and LLM observability.

The company also appointed Shani Shoham as chief revenue officer in January 2026 to lead commercial expansion. In June 2025, OpenObserve discontinued its cloud free tier and moved to a fully usage-based pricing model with no minimums, charging $0.30 per GB for ingestion and $0.01 per GB for queries. The company competes with Datadog, Grafana, and the ELK stack, positioning itself as a lower-cost, unified alternative for AI-era telemetry volumes.

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Products by OpenObserve

Who buys this

  • Engineering teams at enterprises ingesting petabyte-scale telemetry data
  • Organizations running AI/LLM workloads that generate high-volume, complex telemetry
  • Companies seeking to replace fragmented observability stacks (e.g., Prometheus + Grafana + ELK) with a single platform
  • Teams with cost constraints who want to avoid vendor lock-in and high per-GB pricing from legacy vendors like Datadog

Strengths and what to watch

Strengths

  • Architectural cost advantage: S3-native Parquet storage with claimed 140x lower storage costs than legacy platforms, enabling teams to retain more data without budget blowout.
  • Strong open-source adoption: 19,200 GitHub stars and over 7,000 organizations running the platform, providing a large community and developer mindshare.
  • AI-native feature set: Launch of autonomous AI SRE, anomaly detection, and LLM observability positions the platform for the growing AI workload monitoring market.

Watch for

  • Revenue scale is still small: The Indian entity reported only ₹4.07 crore (~$490,000) in revenue for FY2024-25, and the company has not disclosed global revenue, raising questions about commercial traction relative to GitHub stars.
  • Free tier discontinuation risk: In June 2025, OpenObserve eliminated its cloud free tier, which may alienate the developer community that drove its open-source adoption and slow top-of-funnel growth.
  • Competitive pressure from well-funded incumbents: Datadog, Grafana Labs, and New Relic have deeper resources and existing enterprise relationships, and may replicate AI-native features faster than a startup with $10M in total funding.

Recent moves

Key Information

Industry
Logging & Monitoring
Founded
2022
Headquarters
San Francisco

Frequently Asked Questions

What is OpenObserve and what does it do?

OpenObserve is an open-source observability platform that ingests logs, metrics, traces, and real user monitoring data into a single S3-native Parquet architecture. It claims 140x lower storage costs than legacy stacks and includes embedded AI for anomaly detection and autonomous incident response.

How does OpenObserve pricing work after the free tier was removed?

In June 2025, OpenObserve discontinued its cloud free tier and adopted a fully usage-based pricing model with no minimums. Ingestion costs $0.30 per GB and queries cost $0.01 per GB, allowing teams to pay only for what they use.

What AI features does OpenObserve offer for observability?

OpenObserve launched Observability 3.0 in April 2026, including an autonomous AI site reliability engineer (AI SRE), anomaly detection, and LLM observability. These AI-native features help engineering teams monitor AI workloads and automate incident response without manual intervention.

How does OpenObserve compare to Datadog in terms of cost?

OpenObserve positions itself as a lower-cost alternative to Datadog, claiming 140x lower storage costs through its S3-native Parquet architecture. This enables teams to retain more telemetry data without budget blowout, appealing to cost-constrained organizations avoiding vendor lock-in.

How many organizations and GitHub stars does OpenObserve have?

As of June 2026, over 7,000 organizations run OpenObserve, and its open-source GitHub repository has 19,200 stars. This strong community adoption reflects developer mindshare and active development, with over 6,000 commits on the platform.

What is the revenue and funding status of OpenObserve?

OpenObserve raised a $10 million Series A in April 2026, led by Nexus Venture Partners and Dell Technologies Capital. Its Indian entity reported revenue of ₹4.07 crore (about $490,000) for FY ending March 2025, though global revenue is undisclosed.

Sources

  1. openobserve.ai — Series A funding of $10M led by Nexus Venture Partners and Dell Technologies Capital; 7,000+ organizations; 19,000+ GitHub stars; AI SRE, anomaly detection, LLM observability launch; Observability 3.0 vision
  2. www.businesswire.com — Series A funding details; 6,000+ organizations; 18,000+ GitHub stars; 140x lower storage costs; appointment of Shani Shoham as CRO; AI SRE, MCP support, LLM observability
  3. openobserve.ai — Discontinuation of free tier; move to usage-based pricing; ingestion $0.30/GB, query $0.01/GB; 30-day exemption for free-tier customers
  4. tracxn.com — Indian entity revenue of ₹4.07Cr for FY ending Mar 31, 2025; incorporation date June 1, 2023; registered address in Pune, Maharashtra
  5. github.com — 19,200 GitHub stars; 6,088 commits; active development as of June 5, 2026