Head to head
Grafana Cloud vs Coralogix
Both platforms are scored with the same methodology and the same category rubric. Nothing on this page is influenced by advertising.
60/100Higher score | 46/100 | |
|---|---|---|
| Category rank | #1 | #5 |
| Confidence | High confidence | High confidence |
| External Reputation | 77 | 83 |
| AI Authority | 69 | 12 |
| Web Authority | 23 | 16 |
| Expert Assessment | 61 | 71 |
| TOP10 User Score | — | — |
| Pricing | Pro from $19/month + usage (8x5 email support; 13-month metrics retention, 30 days logs/traces/profiles/k6) · free tier: Free, "always free": all Grafana Cloud services with limited usage, community support, 14-day retention for metrics, logs, traces, profiles and k6; includes 10k active metric series, 50 GB logs, 50 GB traces, 50 GB profiles, 50k RUM sessions, 100k API + 10k browser synthetic executions, 500 k6 virtual user hours, 3 active users | 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 | Freemium plus usage-based metering (platform fee + per-meter usage, with tiered volume discounts) | Usage-based (unit currency, subscription term commitment with Pay-As-You-Go overage) |
| Best for | Engineering-led teams already invested in Prometheus, OpenTelemetry, Loki or self-hosted Grafana who want the same stack managed without re-instrumenting, have at least one person fluent in PromQL/LogQL, and either fit the free tier's 14-day retention or want to tune each cost meter individually instead of paying per-host APM pricing. | 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 thinly staffed or non-technical and need turnkey monitoring, need enterprise SSO/granular RBAC/a contractual SLA without justifying $25,000 a year, require 24/7 or phone support on a self-serve budget, need predictable flat-rate budgeting, or need long retention on a free or minimal plan. | 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 | Startups, SMB, Mid-Market, Enterprise, Public Sector / Federal | Mid-Market, Enterprise, DevOps/SRE teams, Security teams, Public sector / EU-regulated |
| Founded | 2014 | — |
| Headquarters | New York, USA | — |
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.