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Open-source observability for AI-native companies, cutting petabyte-scale data costs.

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Product memo

Provides unified observability for logs, metrics, and traces, built for the demands of AI-native companies and startups. It achieves 140x lower storage costs than alternatives, serving organizations managing petabyte-scale data. The platform offers a vendor-neutral approach, built on Rust for performance and Apache Parquet for columnar storage, attracting technically sophisticated teams seeking cost-effective monitoring.

For who
AI-native companies and startups
Solves what
Scalable, cost-effective, unified observability for logs, metrics, and traces.
  • 140x lower storage costs
  • Open source, AGPL-3.0 license
  • Petabyte scale

Market demand

OpenObserve keyword demand

5 keywords

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Market demand is Starter-tier market intelligence.

SimilarWeb keyword snapshot · directional estimate.

Operator & company

Operators

6 people

Md Mosaraf

Maker · Source-backed

Manas Sharma

Maker · Source-backed

Walter Duan

Maker · Source-backed

Shani Shoham

Maker · Source-backed

Company

Team

VC / larger team

Founded

Mar 2026

HQ

United States

Operating model

Business model

Usage Based

Platform

Web app

Audience

Developers

Builder strategy

ProvenRadar analysis

Strategy Type
Niche Specialist
Stage
Vc Growth
Effort
Complex Stack
About OpenObserve Expand

OpenObserve provides an open-source observability platform designed for the unique demands of AI-native companies and startups. It unifies logs, metrics, and traces into a single view, addressing the challenge of monitoring petabyte-scale data with high performance.

The platform achieves lower storage costs, making it an practical option for organizations focused on optimizing infrastructure spend. Built with Rust and compatible with OpenTelemetry, it offers a vendor-neutral product for modern data stacks.

In their own words

Open source, petabyte-scale observability

High-performance, unified observability for the AI era.

CTA: Get Demo

Competitive context

4 peers · Same primary niche · Radar benchmark · OpenObserve #5277.

Lumigo

Lumigo

#ai

lumigo.io

#4753

Radar rank

OpenLIT's Zero-code LLM Observability

OpenLIT's Zero-code LLM Observability

#ai

openlit.io

No comparable data

No public Radar

Ops AI by Middleware

Ops AI by Middleware

#ai

middleware.io

No comparable data

No public Radar

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Commercial cues

Model
usage based
Free tier
Yes
Trial
14 days

Pricing strategy

OpenObserve uses contact-sales pricing through its Enterprise tier.

  • Unlimited users on all plans removes per-seat friction for growing teams.
  • A free tier with 50 GB daily ingestion lowers adoption risk.
  • 14-day trial lowers adoption risk.

Tech stack

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