Jaeger vs SkyWalking
Side-by-side comparison of features, pricing, ratings, and alternatives.
Jaeger is an open-source, end-to-end distributed tracing platform. It is used for monitoring and troubleshooting microservices-based distributed systems. Jaeger provides a comprehensive view of the system's performance and latency, allowing developers to identify and resolve issues quickly.
Apache SkyWalking is a powerful observability platform that provides distributed tracing, metrics, and logging for modern cloud‑native applications. It helps developers and DevOps teams gain deep insight into performance bottlenecks across complex microservice architectures. Designed for self‑hosted deployments, SkyWalking integrates seamlessly with popular ecosystems like Kubernetes, Docker, Elasticsearch, and MySQL, offering a free, community‑driven solution for end‑to‑end monitoring.
- Comprehensive view of system performance and latency
- Real-time monitoring and alerting capabilities
- Supports multiple data storage options
- Easy to integrate with other tools and systems
- Free and open source with active community
- Supports multiple data backends including Elasticsearch and MySQL
- Rich tracing and metrics capabilities for cloud‑native stacks
- Extensible plugin system for custom integrations
- Steep learning curve for new users
- Requires significant resources to deploy and manage
- Limited support for non-microservices architectures
- Self‑hosting requires operational expertise
- UI can become cluttered in very large topologies
- Limited out‑of‑the‑box support for proprietary SaaS services
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The Verdict
AI-generated from listing dataBoth Jaeger and SkyWalking are free, self‑hosted tracing platforms; Jaeger offers a leaner, pure tracing focus with a steeper learning curve, while SkyWalking provides richer metrics and plugin extensibility but a more complex UI.
Key differences
- •Jaeger stores traces in Cassandra, Elasticsearch, etc.; SkyWalking adds MySQL and built‑in Elasticsearch dashboards.
- •SkyWalking includes high‑resolution metrics (latency, QPS, error rates) alongside traces; Jaeger focuses mainly on tracing.
- •Jaeger’s UI is simpler; SkyWalking’s UI offers dynamic topology maps but can become cluttered in large environments.
- •SkyWalking has an extensible plugin system for custom data sources; Jaeger lacks a comparable plugin architecture.
Pricing & value
Both are free and open source, offering comparable cost advantage.
Ease of use / learning curve
Jaeger has a steep learning curve; SkyWalking’s UI is richer though can be cluttered, overall easier to start.
Features & depth
SkyWalking provides metrics aggregation, alerting policies, and a plugin system beyond Jaeger’s core tracing.
Integrations & ecosystem
SkyWalking supports Elasticsearch, MySQL, Docker, Kubernetes; Jaeger lists Kubernetes, Docker, Prometheus only.
Support
SkyWalking offers email plus a community forum; Jaeger only lists email and documentation.
Scalability
Both are self‑hosted solutions; no specific scalability data provided.
Choose Jaeger if…
Teams needing pure distributed tracing with minimal extra features and comfortable with Go‑based tooling.
Choose SkyWalking if…
Teams wanting combined tracing + metrics, multiple storage backends, and extensible plugins.
Common questions
Is there any cost difference between Jaeger and SkyWalking?
Both are free and open source; no licensing fees for either.
Which tool is easier for a team new to tracing?
SkyWalking is generally easier due to a richer UI and community forum, though its UI can become cluttered at scale.
Can I store tracing data in MySQL?
Yes, SkyWalking supports MySQL as a storage backend; Jaeger does not list MySQL support.