High-Performance Log Analytics
Built on Columnar Database
Ingest logs from anywhere, quickly search and analyze with a powerful query
builder backed by ClickHouse, and correlate your logs with other signals.
Advanced Query Builder
Build ClickHouse queries visually with auto-complete for log attributes.
Transparent Pricing
Starts at $0.30 per GB with no user seat limitations or hidden retention fees.
Smart Tiered Storage
Configure hot retention periods to balance query performance with storage costs for compliance.
Ingest logs from anywhere
OTel-native architecture supports extensive data source integration through multiple collection patterns, eliminating vendor lock-in while providing superior correlation capabilities.
Parse and transform logs before storage
Create processing pipelines through a visual UI to parse unstructured logs, extract attributes, flatten nested JSON, and mask sensitive data. Apply processors like Grok patterns, regex, and JSON parsers to transform logs before they're stored and indexed.

Automatic correlation between logs, metrics, and traces
Use OpenTelemetry semantic conventions to automatically link logs with traces and metrics. Jump from APM traces to their related logs, from infrastructure metrics to log context, and from alerts to root cause with consistent trace ID correlation.
Logs → Metrics
Jump from logs to relevant service metrics.
Logs → Traces
Find traces using trace IDs in logs.
APM → Logs
Go from APM metrics to related logs.



Build ClickHouse queries visually with auto-complete for log attributes
Run aggregations grouped by multiple dimensions, filter with regex and LIKE patterns, query nested JSON with dot notation, and work directly with the generated SQL. Create dashboards directly from query results or export to CSV for analysis.
Read Documentation
Visual Query Builder
Build complex filters with AND/OR logic using auto-complete for attributes and values. Supports operators like CONTAINS, REGEX, IN, and LIKE with real-time suggestions from your actual log data.
Aggregations & Grouping
Run COUNT, SUM, AVG, P50/P95/P99 across billions of logs. Group by multiple dimensions simultaneously and filter results with HAVING clauses for advanced analysis.
JSON & Dashboard Creation
Query nested JSON fields using dot notation like `attributes.user.id`. Create dashboard panels directly from query results or export to CSV for external analysis.
Configure hot and cold storage
Set retention from 15-180 days in hot storage for fast queries. Older logs move to cold storage where they remain queryable at 3x slower speeds for compliance needs.
50%
2 years
HOT STORAGE PERIOD | PERIOD IN COLD STORAGE AFTER HOT STORAGE | ||||
0 days | 90 days | 180 days | 1 year | 2 years | |
15 days$ / GB | 0.3 | 0.45 | 0.6 | 0.9 | 1.3 |
30 days$ / GB | 0.4 | 0.55 | 0.7 | 1 | 1.4 |
90 days$ / GB | 0.6 | 0.75 | 0.9 | 1.2 | 1.6 |
180 days$ / GB | 0.8 | 0.95 | 1.1 | 1.4 | 1.8 |
Simple
usage-based
pricing
Tired of Datadog's unpredictable bills or New Relic's user-based pricing?
We're here for you.
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Fully managed, SOC 2-compliant, ideal for teams who want to start quickly without managing infrastructure.
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For tighter security & data residency requirements. It is Apache 2.0 open source, built on open standards.
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