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Software · head to head

Coralogix vs Prometheus

Coralogix logo

Coralogix

Software

Continuous Log Insights and Visibility

From
Free
Rated
-
Full reviewWebsite
Prometheus logo

Prometheus

Software

Open source monitoring and alerting toolkit for cloud native environments

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Coralogix no self-hosted option; cloud-only SaaS requiring use of customer's AWS, Azure, or GCP infrastructure; Prometheus not suitable for per-request billing as collected data lacks 100% accuracy
  • They diverge on capability: Coralogix covers Log aggregation, Prometheus covers Multi-dimensional Data Model.

Where they differ

Only the attributes on which Coralogix and Prometheus actually diverge.

Attributes where Coralogix and Prometheus differ
AttributeCoralogixPrometheus
Pricing modelusage-basedopen-source
PlatformsCloud-hosted (AWS, Azure, GCP)Linux, macOS, Windows

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown), founded (2015).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Coralogix

  • Log aggregation
  • Machine learning analytics
  • Alerts
  • Distributed tracing
  • API
  • Webhooks
  • REST
  • Web support

Only in Prometheus

  • Multi-dimensional Data Model
  • PromQL Query Language
  • Pull-based Collection
  • Service Discovery
  • Alerting Rules
  • Federation
  • Local Storage
  • Grafana

What people use each for

The jobs each tool is most often brought in to do.

Coralogix

  • Enterprises requiring infinite log retention across logs, metrics, and tracesnot Prometheus
  • Organizations with cross-signal correlation needs (logs, metrics, traces unified)not Prometheus

Prometheus

  • Cloud-native monitoring and alertingnot Coralogix
  • Time-series metrics collectionnot Coralogix
  • Infrastructure monitoringnot Coralogix

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Coralogix

  • No self-hosted option; cloud-only SaaS requiring use of customer's AWS, Azure, or GCP infrastructure
  • Pricing is purely usage-based per GB with no flat-rate subscription option; suitable for unpredictable workloads but no cost ceiling

Prometheus

  • Not suitable for per-request billing as collected data lacks 100% accuracy
  • Hard limit on scrape body size; large responses cause scrape failure
  • Per-scrape sample limit enforced; exceeding limit marks targets as failed
  • Not designed for long-term durable storage; optimised for metrics collection

Pricing, plan by plan

Coralogix

Free

No published plan breakdown. See the Coralogix review.

Prometheus

Free

No published plan breakdown. See the Prometheus review.

Which should you pick?

Choose Coralogix if

  • You need log aggregation.
  • You want to start without paying.
  • You work on Cloud-hosted (AWS, Azure, GCP).
  • You also want machine learning analytics.
Coralogix review

Choose Prometheus if

  • You need multi-dimensional data model.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want promql query language.
Prometheus review

Questions people ask

Is Coralogix or Prometheus better?
Neither clearly leads. Coralogix starts at Free and Prometheus at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Coralogix or Prometheus?
Coralogix starts at Free and Prometheus at Free.
Does Coralogix or Prometheus run on more platforms?
Coralogix runs on Cloud-hosted (AWS, Azure, GCP). Prometheus runs on Linux, macOS, Windows.
Can I use Coralogix for free?
Both have a free tier, so you can try either at no cost before committing.
What is Coralogix best used for?
Coralogix is most often used for enterprises requiring infinite log retention across logs, metrics, and traces, organizations with cross-signal correlation needs (logs, metrics, traces unified). Of those, enterprises requiring infinite log retention across logs, metrics, and traces and organizations with cross-signal correlation needs (logs, metrics, traces unified) are not what Prometheus is typically brought in for.
What can Coralogix do that Prometheus cannot?
Coralogix covers Log aggregation, Machine learning analytics, Alerts, Distributed tracing. Prometheus covers Multi-dimensional Data Model, PromQL Query Language, Pull-based Collection, Service Discovery.
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