Head to head
OpenObserve vs Coralogix
Both platforms are scored with the same methodology and the same category rubric. Nothing on this page is influenced by advertising.
42/100 | 46/100Higher score | |
|---|---|---|
| Category rank | #8 | #5 |
| Confidence | Medium confidence | High confidence |
| External Reputation | 70 | 83 |
| AI Authority | 16 | 12 |
| Web Authority | 18 | 16 |
| Expert Assessment | 63 | 71 |
| TOP10 User Score | — | — |
| Pricing | Cloud Professional (Pay As You Go): $0.50 per GB ingested and $0.01 per GB queried · free tier: Open Source self-hosted free forever (unlimited users, dashboards, alerts, logs, metrics, traces, RUM, session replay, error tracking); Self-Hosted Enterprise free up to 50 GB/day including SSO, RBAC, federated search, audit trail and sensitive data redaction; 14-day Cloud free trial with no credit card | Logs $0.42 per GB (headline card); 1 unit = $1.50 of logs, metrics and traces · free tier: 14-day free trial, no credit card, full feature access, quota of 8 units |
| Pricing model | Usage-based (per GB ingested and queried) plus free open-source and free self-hosted enterprise tier; quote-only enterprise | Usage-based (unit currency, subscription term commitment with Pay-As-You-Go overage) |
| Best for | Engineering-led teams of roughly 20–300 with large log and trace volume and a real Datadog/Splunk/Elastic bill problem, already emitting OpenTelemetry, who want to start free self-hosted under 50 GB/day and value unlimited seats for org-wide observability access. | Mid-market and enterprise engineering, SRE and security teams ingesting large, uneven log volumes who want to route data by criticality, keep it in their own S3 bucket for long retention, and give every engineer access without per-seat fees. |
| Avoid if | You are a regulated enterprise needing a deep reference base and vendor-diligence evidence, need a firm published enterprise price for a business case, are planning multi-year on a free self-hosted entitlement, require mature APM depth and heavyweight 24/7 support from a large vendor, or cannot control query volume under per-GB query billing. | You are a small team with modest volumes and no time for a DataPrime learning ramp, your primary need is deep distributed-tracing root-cause analysis, you require a fixed predictable invoice with no usage modelling, or you cannot forecast annual volume accurately given that unused units expire. |
| Markets | SMB, Mid-market, Enterprise, Platform/SRE teams, Startups, Non-profits and education (discounted) | Mid-Market, Enterprise, DevOps/SRE teams, Security teams, Public sector / EU-regulated |
| Founded | 2022 | — |
| Headquarters | San Francisco, California, USA (corporate address: 3000 Sand Hill Rd, Building 1, Suite 260, Menlo Park, CA 94025) | — |
A higher TOP SCORE means more of the evidence favours that platform on this methodology — it is not a recommendation, and it does not account for your specific requirements. Advertisers are never declared the winner of a comparison.