Prompt

Which application performance monitoring software are known for high-cardinality data support and custom dashboards?

Technology · Observability / Observability1 observationLast seen Jul 17, 2026

Latest observation

Jul 17, 2026 · OpenAI APIWeb search: off

Several APM platforms are known for handling high-cardinality data well and offering custom dashboarding. Commonly cited options include:

  • Datadog — Strong support for high-cardinality tags/labels and very flexible custom dashboards.
  • Dynatrace — Good for large-scale, high-dimensional observability data, with customizable dashboards and rich filtering.
  • New Relic — Supports high-cardinality attributes and has configurable dashboards and query-based visualizations.
  • Grafana Cloud / Grafana — Often used with backends like Prometheus, Loki, or Tempo; excels at custom dashboards, though high-cardinality handling depends on the data source.
  • Splunk Observability Cloud — Designed for large-scale metrics and traces, with strong dashboarding and analytics.
  • Honeycomb — Especially well known for high-cardinality event data and exploratory analysis; dashboarding is more query/analysis-oriented than traditional APM tools.
  • Elastic Observability — Supports flexible indexing and custom dashboards via Kibana, though performance with very high cardinality depends on indexing design.

If you want, I can also give you a short comparison table focused specifically on:

  1. high-cardinality support,
  2. dashboard flexibility, and
  3. pricing/complexity.

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