Your raw logs to enriched data
Log analytics
Coralogix turns raw logs into structured, enriched, and high-value data as it streams in. No indexing delays, no bloated costs, and no wasted storage.
The most mature logging stack on the market
Instant pattern
recognition
Group billions of logs into real-time templates using machine learning. No configuration, no clutter, just clear signals.
Stream-native
control
Parse, filter and redact logs on ingestion to eliminate noise and take full control of your pipeline.
Context at the
source
Enrich logs with geolocation, threat intel, and business metadata, to transform logs into structured events with full context.
Get structured data without the overhead
Log templating
Reduce noise, reveal patterns
Automatically group similar logs using machine learning to expose critical behaviors and anomalies across your stack. No manual parsing required.
Log parsing
Make every log count
Shape your data as it’s ingested. Extract fields, fix broken formats, remove irrelevant data, and block what doesn’t matter, all before
it hits storage.
Data enrichment
Embed context into every log
Add meaning to raw logs with real-time enrichment. Tie logs to users, systems, or risk indicators to unlock deeper analysis and faster action.
Scalable observability for your systems
In-stream analysis
Continuous, real-time monitoring of AI interactions, detecting risks and performance issues before they impact users.
Infinite retention
Ensures historical AI data remains accessible for long-term trend analysis and deep troubleshooting without data loss.
DataPrime engine
Tracks token usage and suspicious resource consumption, helping teams prevent cost overruns while maintaining AI efficiency.
Remote, index-free querying
Lightning-fast searches without the overhead of indexing, ensuring real-time AI observability without unnecessary storage costs.