Coralogix Pricing Overview

🔥 Cost Optimization

Coralogix’s in-stream analytics reduces storage costs by processing logs before indexing. This helps teams retain critical data while cutting down expenses.

⚡ Real-Time Monitoring

With its low-latency alerts and dashboards, Coralogix enables instant anomaly detection and quick troubleshooting.

🤖 AI-Powered Insights

The platform uses machine learning to automatically group logs, detect patterns, and reduce noise—helping teams focus on what matters.

🔗 Seamless Integrations

It works smoothly with tools like Elasticsearch, Prometheus, Grafana, and Kubernetes, making it easy to adopt into existing workflows.

🚀 Scalability & Security

Whether you’re a startup or a large enterprise, Coralogix scales efficiently while ensuring compliance with industry standards like SOC2, HIPAA, and GDPR. Review collected by and hosted on G2.com.

🔧 Steeper Learning Curve

The platform has a lot of features, and new users may find the setup and query language (similar to Elasticsearch) a bit complex at first.

It takes time to fine-tune alerting and log parsing for optimal results.

💰 Pricing Complexity

While Coralogix optimizes costs, understanding its pricing model (based on ingestion, storage, and query frequency) can be tricky compared to flat-rate competitors.

Some users report unexpected costs when log volume spikes.

📊 Limited Native Visualization

Dashboards work well but aren’t as polished as dedicated visualization tools like Grafana or Kibana.

Some advanced metrics and custom visualizations require external tools.

🔄 Retention & Indexing Trade-offs

Since Coralogix processes logs before indexing, certain logs might not be immediately accessible if they aren’t stored in a searchable index.

Users need to plan their data pipelines carefully to ensure they don’t lose valuable insights. Review collected by and hosted on G2.com.

Customer onboarding and support experience is really outstanding. Log analytics, real time monitoring, level of customisation with dashboards and alerts are some of the key features. Data security and data compliance are suitable features for a company with stringent regulatory guidelines like us. They use otel for telemetry data which makes it vendor agnostics and movement to different observability tool easy. We also saved 2/3rd cost after migration to Coralogix. Review collected by and hosted on G2.com.

APM observability can be improved. Integration with different application stack is not really straight forward since they use otel for collecting the telemetry data. Review collected by and hosted on G2.com.