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HyperDX vs Maple

HyperDX

8.5#6 in log management softwareFrom $20 a month
Free planWebAPILinuxSelf-hosted
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Maple logo

Maple

7.2#10 in observability platformsFrom $39 a month
Free planiOSWebAPILinux
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What both publish

FactHyperDXMaple
IntegrationsDocumented ingestion options include OpenTelemetry, Fluentd, Fluent Bit, Syslog, AWS services, Cloudflare Workers, Docker, Fly.io, Heroku, Kubernetes and Vercel.The pricing page lists SDKs and guides for Effect, Node.js, Next.js, Python, Go, Rust, Java, C#, Kotlin, and Laravel, plus Cloudflare, PlanetScale, GitHub, WarpStream, and Hazel integrations.
ProductHyperDX is a cloud-based production monitoring and debugging tool for correlating logs, metrics, traces, and user sessions in one place.Maple is an OpenTelemetry observability platform for distributed systems that ingests traces, logs, and metrics and stores them in ClickHouse.

HyperDX plans

  • FreeFree
  • Starter$20 a month
  • EnterprisePriced on request

Maple plans

  • LocalFree
  • Self-hostedFree
  • Startup$39 a month
  • EnterprisePriced on request

Pick HyperDX if…

HyperDX may suit engineering teams diagnosing production issues across logs, metrics, traces, and user sessions. Its cloud and self-hosted options offer different deployment paths for teams.

Pick Maple if…

Maple suits teams that need to inspect traces, logs, metrics, and browser sessions in one observability platform. Its self-hosted and Local options may suit teams that want to run it on their own infrastructure or developer machine.

Charts they share