Better Stack (Log Management)
Cloud-based log management solution for aggregating, searching, and analyzing application logs at scale
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
ClickHouse-native observability platform unifying logs, traces, and replays
HyperDX delivers fast, unified observability on ClickHouse. Search logs, traces, metrics, and session replays in one interface—no complex query language required.
HyperDX is an observability platform that helps engineers diagnose production issues by unifying logs, traces, metrics, and session replays on top of ClickHouse. Designed as a core component of ClickStack, it brings Kibana-like search and visualization capabilities optimized for ClickHouse's columnar architecture.
Unlike traditional observability tools that require expensive proprietary backends, HyperDX works directly with your existing ClickHouse schema. Engineers can search telemetry using intuitive full-text and property syntax (level:err) without writing SQL, while still having the option to leverage ClickHouse's query power when needed. Native JSON querying, live tail, and high-cardinality dashboards make it easy to explore production data without specialized training.
HyperDX supports OpenTelemetry out of the box, enabling instrumentation across JavaScript, Python, Java, Go, Ruby, PHP, .NET, and more. Deploy as a single Docker container for testing or integrate with ClickHouse Cloud for production workloads. The platform correlates data across telemetry types, helping teams move from symptom to root cause without tool-hopping.
When teams consider HyperDX, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Correlating Frontend Errors with Backend Traces
Engineers replay user sessions to see JavaScript errors, then jump directly to related API traces and logs to identify the root cause in minutes instead of hours.
Cost-Effective Log Aggregation at Scale
Platform teams ingest terabytes of logs into ClickHouse and use HyperDX for fast full-text search and dashboards, reducing observability costs by 70% compared to SaaS vendors.
Kubernetes APM and Performance Monitoring
SREs instrument microservices with OpenTelemetry, then monitor HTTP request latency, database query performance, and distributed traces across the entire cluster from one dashboard.
Real-Time Production Debugging with Live Tail
On-call engineers use live tail to stream logs and traces during incidents, spotting anomalies and setting up alerts in just a few clicks without writing complex queries.
No. The all-in-one Docker container includes ClickHouse, HyperDX, OpenTelemetry Collector, and MongoDB. For production, you can connect to an existing ClickHouse instance or use ClickHouse Cloud.
At least 4GB of RAM and 2 CPU cores are recommended for local testing. Production deployments should be sized based on telemetry volume and query load.
Yes. HyperDX provides intuitive full-text and property search syntax (e.g., level:err) for common use cases. SQL is optional for advanced queries leveraging ClickHouse's full power.
HyperDX collects anonymized usage data by default to support development. You can opt out by setting the USAGE_STATS_ENABLED environment variable to false.
Project at a glance
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