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Databases · head to head

Timeplus vs Vitess

Timeplus logo

Timeplus

Databases

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

From
Free
Rated
-
Vitess logo

Vitess

Databases

Scalable database clustering system for horizontal scaling of MySQL

From
Free
Rated
-

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.; Vitess vTGate scatter queries without sharding key incur significant performance penalties
  • They diverge on capability: Timeplus covers Streaming SQL, Vitess covers Horizontal Sharding.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Timeplus and Vitess actually diverge.

Attributes where Timeplus and Vitess differ
AttributeTimeplusVitess
Pricing modelPer month for cloud, quoted for self-hostedUnknown
PlatformsLinux, macOS, Docker, Kubernetes, WebLinux, macOS, Docker, Kubernetes
FoundedUnknown2010

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

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 Vitess

  • Horizontal Sharding
  • Connection Pooling
  • Query Routing
  • Online Schema Changes
  • Shard Management
  • Replication Management
  • Automated Failover
  • MySQL

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 Vitess
  • Fraud or anomaly detection that must join a live event stream against recent history in one querynot Vitess
  • Streaming ETL from Kafka or MySQL change data capture into ClickHouse without writing Javanot Vitess
  • A small data team that needs continuous aggregation but has no platform engineers to operate JVM infrastructurenot Vitess

Vitess

  • Transaction processingnot Timeplus
  • Data storagenot Timeplus
  • Application backendnot Timeplus
  • Reportingnot Timeplus
  • Data analyticsnot 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.

Vitess

  • VTGate scatter queries without sharding key incur significant performance penalties
  • Foreign key constraints not enforced across shards, requiring application-level integrity handling
  • Single primary per keyspace limits multi-region write capabilities
  • Distributed transactions without proper sharding key routing suffer performance degradation

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

Vitess

Free

No published plan breakdown. See the Vitess review.

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.

Choose Vitess if

  • You need horizontal sharding.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Kubernetes.
  • You also want connection pooling.

Questions people ask

Is Timeplus or Vitess better?
Neither clearly leads. Timeplus starts at Free and Vitess at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Timeplus or Vitess?
Timeplus starts at Free and Vitess at Free.
Does Timeplus or Vitess run on more platforms?
Timeplus runs on Linux, macOS, Docker, Kubernetes, Web. Vitess runs on Linux, macOS, Docker, Kubernetes.
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 Vitess is typically brought in for.
What can Timeplus do that Vitess cannot?
Timeplus covers Streaming SQL, Unified streaming and historical, ClickHouse-based engine, Single binary deployment. Vitess covers Horizontal Sharding, Connection Pooling, Query Routing, Online Schema Changes.

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.

Vitess: Is Vitess free to use?

Yes. Vitess is completely free and open source under the Apache 2.0 license. It is a graduated CNCF project with no licensing costs or pricing tiers.

Source
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.

Vitess: What databases does Vitess support?

Vitess supports MySQL and MariaDB as backend databases. It acts as a middleware layer that adds sharding and orchestration capabilities on top of these databases.

Source
Timeplus: Can Proton run in production?

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

Vitess: Does Vitess require Kubernetes to run?

No. Vitess can run on Kubernetes using the Vitess Operator, but it can also be deployed on traditional infrastructure. Kubernetes integration is optional and provides additional automation benefits.

Source
Timeplus: How much is the cloud?

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

Vitess: How does Vitess handle cross-shard transactions?

Vitess supports distributed transactions across shards, but they require queries to be routed through the sharding key. Transactions without a proper sharding key can result in slower performance.

Source
Vitess: Does Vitess enforce foreign key constraints?

Vitess does not enforce foreign key constraints across shards by default. Referential integrity must be managed at the application layer, though per-database support can be enabled with limitations.

Source
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