OpenObserve Inc.
Provide a unified, high-performance, open-source observability platform (logs, metrics, traces) that reduces storage costs by up to 140x compared to traditional tools.
At a Glance
- DevOps Teams
- SRE Teams
- Cloud-native Enterprises
- Fortune 500 Companies
AI Tools by OpenObserve Inc.
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OpenObserve
Open Source Observability Platform
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Latest News
AI Incident Management: How AI Reduces MTTR and Automates Root Cause Analysis
How to Actually Set Meaningful SLOs (Most Teams Are Doing It Wrong)
Major Product Update: AI Assistant, LLM Observability & v0.70.0 Released
Why I’m Joining OpenObserve as CRO: It’s Time to Fix Observability
Products & Services
Unified open-source observability platform for logs, metrics, and traces with petabyte-scale performance.
SaaS version of the observability platform offering pay-as-you-go pricing and managed infrastructure.
AI-powered assistant for log analysis, incident management, and automated root cause analysis.
Market Position
Positions as an open-source, 140x more cost-efficient alternative to Elasticsearch, Splunk, and Datadog, with superior performance driven by its Rust-based engine and decoupled storage/compute architecture.
Leadership
Founders
Prabhat Sharma
Founder & CEO. Previously a Solutions Architect at AWS for 4 years, where he observed widespread customer pain points with traditional observability tools. Also worked as a CTO and Software Engineer at various firms including UPLIFT MUTUALS and Amazon.
Executive Team
Prabhat Sharma
Founder & CEO
Former AWS Solutions Architect; background in cloud computing and large-scale systems.
Shani Shoham
Chief Revenue Officer (CRO)
Joined in Jan 2026; experienced sales executive in the observability and SaaS space.
Board of Directors
Founding Story
Founded by Prabhat Sharma, a former AWS Solutions Architect, who witnessed customers struggling with the high cost and complexity of existing observability tools like Elasticsearch and Splunk. The vision was to create a Rust-based, cloud-native platform that unifies observability data while drastically lowering operational and storage costs.
Business Model
Revenue Model
Open-core model with revenue from Cloud SaaS (usage-based/pay-as-you-go) and Enterprise licenses/support.
Pricing Tiers
Query: $0.01/GB; Pipelines: $0.20/GB; Retention: $0.10/GB per 30 days. Includes 20 free AI credits.
Includes premium support, bring-your-own-cloud deployment, volume discounts, and architecture reviews.
Target Markets
- DevOps Teams
- SRE Teams
- Cloud-native Enterprises
- Fortune 500 Companies
- Petabyte-scale log management
- AI/ML application monitoring
- Consolidating siloed observability tools
- Cost-effective long-term data retention
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