Observability workloads are different than OLAP

Parseable handles high cardinality metrics efficiently with columnar architecture. Keeping queries fast and costs under control.

⚖︎  OLAP vs Observability

Data lake design

Sort by duration, spot latency outliers, and open detailed trace views to see where request time is spent across services and dependencies.

Observability unified

Filter traces by service, span, Kubernetes, HTTP, network, process, telemetry, URL, or any available field to scope the investigation fast.

Ready for scale

Use waterfall views, span details, trace ID lookup, SQL, and AI summaries to move from request path to root cause in one platform.

A better way to handle High cardinality observability

Designed for teams that prefer to excel
at one task rather than juggle multiple tasks ineffectively.

Columnar storage, object store native

Less to assemble, less to operate

Telemetry ingestion without extra plumbing

Detect anomalies upfront

Built in alerts for observability signals

Built for every observability challenge

Designed for teams that prefer to excel at one task rather than juggle multiple tasks ineffectively.

Search application and infrastructure logs alongside the traces and metrics from the same request. Follow an error across services without switching tools or losing the surrounding context.

  • Correlate application errors with infrastructure signals
  • Filter logs by service, pod, region or trace ID
  • Investigate latency and failures in the same time window
See OpenTelemetry log ingestion

Frequently asked questions?

Take a moment to explore our Frequently Asked Questions section, where you can discover a wealth of information and find the answers to all your inquiries.

Reach out to us

This software provides a comprehensive solution for data management, enabling users to streamline their workflows and enhance productivity. It integrates seamlessly with existing systems and offers robust analytics capabilities, ensuring that teams can make data-driven decisions effectively.

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High Cardinality Observability

Handle high-cardinality logs, metrics, and traces at a fraction of the cost with columnar storage.

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Kafka Observability

Unify Kafka metrics, logs, and traces to catch lag, replication issues, and broker failures earlier.

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Stopping dropping labels just to control cost

Search, filter, inspect, and analyze distributed traces in Parseable, with waterfall views, span details, SQL, AI summaries, and connected logs and metrics.