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Databases · head to head

Timeplus vs Zipkin

Timeplus logo

Timeplus

Databases

Streaming SQL engine built on ClickHouse internals, shipping as one small binary

From
Free
Rated
-
Full reviewWebsite
Zipkin logo

Zipkin

Cloud

Distributed tracing system for microservice latency

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Timeplus proton, the free version, is single-node by design, so any requirement for high availability or horizontal scale forces the commercial licence; the open source edition is a trial in practical terms.; Zipkin less active development and smaller community momentum than Jaeger
  • They diverge on capability: Timeplus covers Streaming SQL, Zipkin covers Trace collection and search.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Timeplus and Zipkin actually diverge.

Attributes where Timeplus and Zipkin differ
AttributeTimeplusZipkin
Pricing modelPer month for cloud, quoted for self-hostedOpen source, no licence fee
PlatformsLinux, macOS, Docker, Kubernetes, WebLinux, Docker, Kubernetes, Self-hosted
CategoryDatabasesCloud

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Timeplus

  • Streaming SQL
  • Unified streaming and historical
  • ClickHouse-based engine
  • Single binary deployment
  • External streams
  • Materialised views

Only in Zipkin

  • Trace collection and search
  • Dependency diagram
  • Simple deployment
  • Pluggable storage

What people use each for

The jobs each tool is most often brought in to do.

Timeplus

  • Real-time alerting on Kafka topics where standing up a Flink cluster is more work than the use case justifiesnot Zipkin
  • Fraud or anomaly detection that must join a live event stream against recent history in one querynot Zipkin
  • Streaming ETL from Kafka or MySQL change data capture into ClickHouse without writing Javanot Zipkin
  • A small data team that needs continuous aggregation but has no platform engineers to operate JVM infrastructurenot Zipkin

Zipkin

  • Adding distributed tracing quickly without standing up heavy infrastructurenot Timeplus
  • Java and Spring Boot estates, where instrumentation support is long-establishednot Timeplus
  • Small deployments where Jaeger is more than the problem requiresnot Timeplus

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Timeplus

  • Proton, the free version, is single-node by design, so any requirement for high availability or horizontal scale forces the commercial licence; the open source edition is a trial in practical terms.
  • It is a young project against Apache Flink’s decade of production history, so the hiring pool, the connector library and the body of known failure modes are all much smaller.
  • Inheriting ClickHouse internals also inherits ClickHouse constraints: memory-hungry queries, awkward updates and a SQL dialect that is not portable to other engines.
  • Exactly-once semantics and state recovery guarantees are less battle-tested than Flink checkpointing, which matters if the pipeline moves money.
  • Cloud pricing is by provisioned instance size rather than usage, so a bursty workload pays for peak capacity around the clock or has to be resized by hand.

Zipkin

  • Less active development and smaller community momentum than Jaeger
  • Fewer features: sampling, storage options and UI are all more limited
  • The interface is dated and slower to work with on large trace volumes
  • Tracing alone still leaves metrics and logs in separate tools during an incident

Pricing, plan by plan

Timeplus

Free
  • Timeplus ProtonFree
    • Apache 2.0 licence
    • Single node only
    • Full streaming SQL engine
  • Timeplus Cloud$199/month
    • One to thirty-two CPUs
    • 4 GB to 128 GB memory
    • From 250 GB SSD storage
  • Self-hosted or BYOC$undefined/year
    • Multi-node clustering
    • Kubernetes or bare metal
    • Customisable compute and storage

Zipkin

Free
  • ZipkinFree
    • Full functionality
    • No usage limits
    • Community support

Which should you pick?

Choose Timeplus if

  • You need streaming sql.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Kubernetes, Web.
  • You also want unified streaming and historical.
Timeplus review

Choose Zipkin if

  • You need trace collection and search.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want dependency diagram.
Zipkin review

Questions people ask

Is Timeplus or Zipkin better?
Neither clearly leads. Timeplus starts at Free and Zipkin at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Timeplus or Zipkin?
Timeplus starts at Free and Zipkin at Free.
Does Timeplus or Zipkin run on more platforms?
Timeplus runs on Linux, macOS, Docker, Kubernetes, Web. Zipkin runs on Linux, Docker, Kubernetes, Self-hosted.
Can I use Timeplus for free?
Both have a free tier, so you can try either at no cost before committing.
What is Timeplus best used for?
Timeplus is most often used for real-time alerting on kafka topics where standing up a flink cluster is more work than the use case justifies, fraud or anomaly detection that must join a live event stream against recent history in one query, streaming etl from kafka or mysql change data capture into clickhouse without writing java, a small data team that needs continuous aggregation but has no platform engineers to operate jvm infrastructure. Of those, real-time alerting on kafka topics where standing up a flink cluster is more work than the use case justifies and fraud or anomaly detection that must join a live event stream against recent history in one query are not what Zipkin is typically brought in for.
What can Timeplus do that Zipkin cannot?
Timeplus covers Streaming SQL, Unified streaming and historical, ClickHouse-based engine, Single binary deployment. Zipkin covers Trace collection and search, Dependency diagram, Simple deployment, Pluggable storage.

Answered from the vendors’ own pages

Timeplus: Is Timeplus open source?

The core engine, Timeplus Proton, is Apache 2.0. Timeplus Enterprise and Cloud are commercial.

Zipkin: Is Zipkin free?

Yes, open source with no licence fee.

Timeplus: What is the difference from Flink?

Timeplus is one binary with SQL as the only interface; Flink is a JVM cluster with a Java and SQL API and far more operational surface.

Zipkin: Zipkin or Jaeger?

Jaeger has more momentum, more features and CNCF backing. Zipkin is lighter and quicker to stand up, and remains well supported in the Java and Spring ecosystem.

Timeplus: Can Proton run in production?

It can, but it is single-node only, so there is no high availability without the commercial edition.

Zipkin: Does Zipkin work with OpenTelemetry?

Yes. OpenTelemetry can export to Zipkin, which is now the usual way to instrument for it.

Timeplus: How much is the cloud?

From 199 US dollars a month, sized by CPU and memory, with a fourteen day trial.

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