“[OpenObserve is] super fast, definitely very lightweight, and you can get started with an initial POC in two to three minutes to be honest.”
2–3 min
To first POC
Lightweight
Minimal footprint
AI vision
Retail analytics platform
Every Metric, Every Label. No Cardinality Cliff.
PromQL and SQL. Full resolution, retained.
Monitor your infrastructure and applications with Prometheus-native metrics and efficient time-series storage.
One Query, Three Signals
Pivot from a metric spike straight into the logs and traces behind it, no second tool.
PromQL or SQL, Your Choice
Query the same metrics either way, no forced migration.
OTel-native Metrics
Standardized collection with zero vendor lock-in
Metrics & Time-Series
Metrics That Don’t Fall Over at Scale
Collect and query time-series data without hitting a cardinality wall.
Metrics Collection & Analysis
Effortless Collection
Ingest metrics from any source with minimal overhead via Prometheus remote-write, OpenTelemetry, or direct API integration.
Real-Time Insights
Visualize and analyze metrics instantly without cardinality limits, enabling immediate detection of performance trends.
Prometheus Integration
Native Compatibility
Connect with Prometheus endpoints using full remote write protocol support and your existing configurations.
Flexible Querying
Use familiar PromQL syntax or switch to SQL, your team’s expertise remains valuable without new learning curves.
Metrics Processing Advanced
Aggregations
Process time-series data with powerful calculations including rates, moving averages, and percentile analysis using either PromQL or SQL.
Downsampling
Optimize query performance for historical data through automatic downsampling of longer period requests.
Optimized Storage
Columnar Storage
Cut storage costs while maintaining query speed through columnar format designed for time-series data.
Configurable Retention
Define custom retention periods for each data source, ensuring you keep only what you need for as long as you need it.
Benchmarks
Measured against the platforms you are already paying for
Same telemetry, same workloads, one platform. Every number is OpenObserve against a named vendor - not an industry average.
vs. Datadog
8×
more cost-effective
8x cost reduction means you can unify your observability into a single platform.
Read case studyvs. Elastic
140×
storage efficiency
140x storage means longer retention doesn't necessarily mean expensive bills.
Read case studyvs. Dynatrace
10×
faster performance
10x performance means dashboards and queries load in milliseconds, not minutes.
Read case studyvs. New Relic
30×
compute efficiency
30x compute efficiency means you index everything and don't have to compromise on sampling.
Read case study
See how much you would save switching today.
Testimonials
Teams trust OpenObserve with their metrics
Correlate between the environments and signals across various sources with OpenObserve built-in correlation engine.
Metrics FAQs
Resources
Explore guides, videos, and articles
to help you get the most out of Metrics.
Ready to get started?
Try OpenObserve today for more efficient and performant observability.
