OpenZipkin review
A focused, self-hosted Zipkin system for collecting and exploring service traces.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
OpenZipkin is an open-source distributed tracing system for service architectures. It collects, stores, searches, and visualizes trace data through a web UI and query API. Teams can look up traces by service, operation, tags, duration, or trace ID, then review service timing, failures, and dependency diagrams. It is aimed at organizations that want a focused, self-hosted tracing system rather than a vendor-hosted service, with deployment available as a Java executable, Docker container, or source installation.
Its main strength is coverage across the core tracing workflow. Applications can report spans through HTTP, Kafka, gRPC, RabbitMQ, Apache ActiveMQ, or Apache Pulsar, while storage can be configured for in-memory use or persistent backends such as Cassandra, Elasticsearch, or MySQL. The web interface and dependency diagrams support investigation across service architectures, and the trace and span query API provides a programmatic access path. OpenTelemetry OTLP/HTTP ingestion is available through a documented experimental Zipkin module, which may suit teams evaluating an OpenTelemetry-connected setup but calls for care in production planning.
OpenZipkin is a strong fit for teams that value open-source deployment, direct control over infrastructure, and straightforward trace collection and lookup. Its scope is narrower than a broader observability platform: the published category specifications show self-hosted deployment and no tail-sampling capability. Teams that need managed hosting, advanced trace-volume controls, or a wider verified feature set should evaluate alternatives. Choose OpenZipkin when a focused Zipkin tracing stack, flexible collectors, and selectable storage backends are the priority; look elsewhere when operational ownership or feature breadth is the deciding factor.
OpenZipkin pros and cons
- Where it wins
- Search traces by service, operation, tags, duration, or trace ID
- Dependency diagrams and web trace views clarify service behavior
- Supports HTTP, Kafka, gRPC, RabbitMQ, and configurable storage backends
- Where it doesn't
- Self-hosted deployment requires managing the Java executable, Docker, or source setup
- OpenTelemetry OTLP/HTTP ingestion is provided through an experimental extension
- No documented tail-sampling capability for trace volume control
OpenZipkin fact sheet, pricing and score →
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