Softwr

Databases · head to head

Timeplus vs VictoriaMetrics

Timeplus logo

Timeplus

Databases

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

From
Free
Rated
-
Full reviewWebsite
VictoriaMetrics logo

VictoriaMetrics

Cloud

Fast, cost-effective time series database for metrics

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.; VictoriaMetrics promQL compatibility is very close but not identical, and MetricsQL extensions do not port back
  • They diverge on capability: Timeplus covers Streaming SQL, VictoriaMetrics covers PromQL compatible.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Timeplus and VictoriaMetrics actually diverge.

Attributes where Timeplus and VictoriaMetrics differ
AttributeTimeplusVictoriaMetrics
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 VictoriaMetrics

  • PromQL compatible
  • Low resource use
  • Single binary or cluster
  • Remote write target

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

VictoriaMetrics

  • Keeping months or years of Prometheus metrics without the memory costnot Timeplus
  • High-cardinality metrics where Prometheus strugglesnot Timeplus
  • Consolidating metrics from many Prometheus instances into one queryable storenot 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.

VictoriaMetrics

  • PromQL compatibility is very close but not identical, and MetricsQL extensions do not port back
  • Smaller community than Prometheus, so fewer guides and third-party integrations
  • The clustered version has meaningfully more moving parts than the single binary suggests
  • Some enterprise features sit outside the open-source offering

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

VictoriaMetrics

Free
  • VictoriaMetricsFree
    • Full functionality
    • No data 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 VictoriaMetrics if

  • You need promql compatible.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want low resource use.
VictoriaMetrics review

Questions people ask

Is Timeplus or VictoriaMetrics better?
Neither clearly leads. Timeplus starts at Free and VictoriaMetrics at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Timeplus or VictoriaMetrics?
Timeplus starts at Free and VictoriaMetrics at Free.
Does Timeplus or VictoriaMetrics run on more platforms?
Timeplus runs on Linux, macOS, Docker, Kubernetes, Web. VictoriaMetrics 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 VictoriaMetrics is typically brought in for.
What can Timeplus do that VictoriaMetrics cannot?
Timeplus covers Streaming SQL, Unified streaming and historical, ClickHouse-based engine, Single binary deployment. VictoriaMetrics covers PromQL compatible, Low resource use, Single binary or cluster, Remote write target.

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.

VictoriaMetrics: Is VictoriaMetrics free?

The open-source version is free with no data limits. An enterprise edition and cloud service are paid.

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.

VictoriaMetrics: Does it replace Prometheus?

It can, but most teams keep Prometheus for scraping and use VictoriaMetrics as the long-term store behind it.

Timeplus: Can Proton run in production?

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

VictoriaMetrics: Is PromQL fully supported?

Very nearly. It implements PromQL and extends it with MetricsQL, though a small number of edge-case behaviours differ.

Timeplus: How much is the cloud?

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

Share

Related pages

More on Timeplus

More on VictoriaMetrics

Keep looking

Other head to heads