StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. OpenTracing vs Zipkin

OpenTracing vs Zipkin

OverviewComparisonAlternatives

Overview

Zipkin
Zipkin
Stacks199
Followers152
Votes10
GitHub Stars17.3K
Forks3.1K
OpenTracing
OpenTracing
Stacks243
Followers101
Votes0
GitHub Stars3.5K
Forks315

OpenTracing vs Zipkin: What are the differences?

Introduction

OpenTracing and Zipkin are both distributed tracing systems that help in monitoring and troubleshooting complex microservices architectures. However, there are several key differences between these two systems that set them apart.

  1. Data Collection and Storage: In OpenTracing, a service can send trace data to multiple backends, including Zipkin, Jaeger, and more. OpenTracing is an open standard that provides APIs and instrumentation guidelines, but it doesn't include its own storage or data persistence mechanism. On the other hand, Zipkin is a fully featured distributed tracing system that collects and stores trace data in its own storage backend, typically based on Elasticsearch.

  2. Instrumentation: OpenTracing provides a vendor-neutral instrumentation API, which means that it is compatible with multiple tracing systems. This allows developers to switch between different tracing backends without changing their code. Zipkin, on the other hand, has its own instrumentation libraries and agents that need to be used for tracing applications.

  3. Community and Adoption: OpenTracing has a larger community and wider industry adoption compared to Zipkin. OpenTracing is supported by several major tracing systems including Jaeger, Zipkin, and more. It has a rich ecosystem of tracing libraries and tools built around it. Zipkin, while popular, might have a relatively smaller community and fewer ecosystem integrations compared to OpenTracing.

  4. Querying and Visualization: Zipkin provides a web-based user interface that allows users to query and visualize trace data. It offers features like trace search, dependency graphs, and waterfall views. OpenTracing, being an API specification, doesn't provide its own user interface. It relies on the user's choice of tracing backend or tool for querying and visualization of trace data.

  5. Compatibility: OpenTracing provides compatibility with multiple tracing systems and has a higher level of interoperability. This allows users to mix and match tracing systems and use different tools for different parts of their architecture. Zipkin, however, is a standalone tracing system with its own ecosystem, making it less compatible and interoperable with other tracing systems.

  6. Maturity and Stability: OpenTracing has been in development for a longer period of time and has established itself as a robust and mature tracing standard. It has gone through multiple iterations and improvements, addressing various use cases and industry requirements. Zipkin, while also a mature tracing system, may not have the same level of maturity and stability as OpenTracing due to its narrower scope and smaller community.

In summary, OpenTracing is an open standard for distributed tracing that provides compatibility and flexibility, whereas Zipkin is a standalone tracing system with its own instrumentation and storage backend. OpenTracing has a larger community, wider industry adoption, and a more mature ecosystem, while Zipkin offers its own web-based user interface and a dedicated set of tracing features.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Zipkin
Zipkin
OpenTracing
OpenTracing

It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data.

Consistent, expressive, vendor-neutral APIs for distributed tracing and context propagation.

Statistics
GitHub Stars
17.3K
GitHub Stars
3.5K
GitHub Forks
3.1K
GitHub Forks
315
Stacks
199
Stacks
243
Followers
152
Followers
101
Votes
10
Votes
0
Pros & Cons
Pros
  • 10
    Open Source
No community feedback yet
Integrations
No integrations available
Golang
Golang

What are some alternatives to Zipkin, OpenTracing?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana