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OpenObserve Review

Depends

Should I use OpenObserve?

High-performance, unified observability for the AI era. 140x lower storage cost. - openobserve.ai

· 1 month ago

Buy if you ingest heavy log volume, have DevOps capacity to self-host or patch, and want Datadog-level features at a fraction of the cost. Skip if you need genuine open-source licensing, zero-ops management, or a long-tenured vendor.

Confidence

Medium. Based on 40+ public sources; many review snippets were truncated, and case studies are vendor-published.

Ratings

  • Value for money
  • Ease of use
  • Feature depth
  • Support quality
  • Security posture

Pricing

$0

Developer

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed
Free tierYes
Cloud (Professional)Pay per GB
EnterpriseCustom

Best for

  • High-volume log teams bleeding money on Datadog
  • Self-hosters with DevOps capacity
  • Cost-sensitive startups (50% discount program)
  • Teams wanting unified logs, metrics, traces in one tool

Not for

  • Buyers needing genuine OSI open-source licensing, not open-core
  • Teams without ops staff to self-host and patch CVEs
  • Tiny teams needing only basic uptime checks — use a simpler free tool
  • Enterprises requiring long-tenured vendor stability guarantees

Gotchas - check before you buy

high

Open-core reality: some features require paid or enterprise licenses despite the public repo

high

Self-hosters own patching; SSRF and privilege-escalation CVEs have shipped

medium

Pricing is per-GB; model total ingest and retention cost before committing

medium

Company raised its $10M Series A in 2026; verify data export paths before long-term retention commitments

Pros and cons

Pros

  • Claims 140x lower storage cost than incumbents
  • Pay-per-GB pricing; no per-host or seat fees
  • Unified logs, metrics, traces, dashboards in one platform
  • 4.9-5.0 ratings on Gartner Peer Insights and G2
  • 20,000 GitHub stars; used by 8,000+ organizations

Cons

  • 'Open-source' branding, but enterprise features are gated behind paid licenses
  • Recent CVEs: SSRF, privilege escalation, unauthorized access
  • Young vendor: launched 2023, $10M Series A
  • Independent reviews thin; case studies are vendor-published

Sources & method

- 12 sources - Three published CVEs (SSRF, privilege escalation, unauthorized access); active advisory process and trust center exist.

official x2review x5security x2news x3
  • CVE-2026-39361, SSRF vulnerability in OpenObserve
  • CVE-2024-55954, Privilege escalation vulnerability
  • GHSA-3m5f-9m66-xgp7, Unauthorized access vulnerability in user management

Key stats

  • Value for money: 5/5

    Rating

  • $0

    Starting price

  • 12

    Sources

  • Analyzed

  • Value for money: 5/5. 140x storage-cost claims, per-GB pricing, free tier
  • Ease of use: 4/5. Users call it 10x easier than ELK
  • Feature depth: 4/5. Logs, metrics, traces, dashboards, alerts, incident automation
  • Support quality: 4/5. Reviewers report responsive team support
  • Security posture: 3/5. Recent SSRF and privilege-escalation CVEs; compliance pages exist
  • 5.0/5 G2 rating G2 reviewers
  • 20,000+ GitHub stars as of July 2026
  • $10M Funding Series A, 2026
  • Yes Free tier $0 Developer plan

Pricing

Developer

$0

  • Free tier
  • Getting started / single use

Cloud (Professional)

Pay per GB

  • No per-host fees
  • No seat fees

Enterprise

Not disclosed

  • Enterprise license agreement
  • Custom terms

Security

Three published CVEs (SSRF, privilege escalation, unauthorized access); active advisory process and trust center exist.

  • CVE-2026-39361SSRF vulnerability in OpenObserve⁹
  • CVE-2024-55954Privilege escalation vulnerability10
  • GHSA-3m5f-9m66-xgp7Unauthorized access vulnerability in user management

What users say

Users praise cost, ease, and scale on Reddit, G2, and Product Hunt; a vocal minority resents enterprise feature gating.

“I have nothing but praise for...”
Product Hunt reviewer
“It handles high volumes of logs...”
AWS Marketplace review
“Openobserve is a lot easier to...”
Reddit, r/devops

Companies that use it

  • ONEngine
  • Decklar
  • TestDino
Full analysis

Based on 40+ public sources; many review snippets were truncated, and case studies are vendor-published.

Cheap, capable Datadog alternative for teams with ops muscle; open-core caveats and fresh CVEs.

Methodology

Based on 40+ public sources; many review snippets were truncated, and case studies are vendor-published.

Read how a report is made.

Sources

  1. review
  2. review
  3. review
  4. review
  5. review
  6. news
  7. news
  8. news
  9. security
  10. security
  11. official
  12. official

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