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Databases · head to head

Readyset vs Timeplus

Readyset logo

Readyset

Databases

Database caching and optimization that reduces infrastructure costs 30-70%

From
Free
Rated
-
Full reviewWebsite
Timeplus logo

Timeplus

Databases

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Readyset pricing requires contacting sales team, making cost planning difficult; 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.
  • They diverge on capability: Readyset covers Automatic Query Optimization, Timeplus covers Streaming SQL.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Readyset and Timeplus actually diverge.

Attributes where Readyset and Timeplus differ
AttributeReadysetTimeplus
Pricing modelMonthly or annual subscription based on cache sizePer month for cloud, quoted for self-hosted
PlatformsCloud, Self-HostedLinux, macOS, Docker, Kubernetes, Web

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 Readyset

  • Automatic Query Optimization
  • SQL-Level Caching
  • Live Incremental Updates
  • Zero-Touch Integration
  • Query Interception
  • AI Query Protection

Only in Timeplus

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

What people use each for

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

Readyset

  • Reducing database costs for AI workloads with unpredictable query patternsnot Timeplus
  • Improving read performance for frequently accessed data without hardware upgradesnot Timeplus
  • Protecting databases from performance degradation caused by agentic queriesnot Timeplus
  • Scaling read-heavy applications without database scaling costsnot Timeplus

Timeplus

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

Where each one falls short

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

Readyset

  • Pricing requires contacting sales team, making cost planning difficult
  • Specific pricing tiers not disclosed publicly
  • Requires cache size estimation for cost calculation
  • Limited to read query caching, does not address write performance

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.

Pricing, plan by plan

Readyset

Free
  • CommunityFree
    • Free tier for evaluation
    • 7-day trial available
  • Readyset CloudFree
    • Fully-managed AWS deployment
    • High availability
    • VPC peering support
  • Readyset PrivateFree
    • Self-hosted on your servers
    • Complete control
    • Custom deployment

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

Which should you pick?

Choose Readyset if

  • You need automatic query optimization.
  • You want to start without paying.
  • You work on Cloud, Self-Hosted.
  • You also want sql-level caching.
Readyset review

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

Questions people ask

Is Readyset or Timeplus better?
Neither clearly leads. Readyset starts at Free and Timeplus at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Readyset or Timeplus?
Readyset starts at Free and Timeplus at Free.
Does Readyset or Timeplus run on more platforms?
Readyset runs on Cloud, Self-Hosted. Timeplus runs on Linux, macOS, Docker, Kubernetes, Web.
Can I use Readyset for free?
Both have a free tier, so you can try either at no cost before committing.
What is Readyset best used for?
Readyset is most often used for reducing database costs for ai workloads with unpredictable query patterns, improving read performance for frequently accessed data without hardware upgrades, protecting databases from performance degradation caused by agentic queries, scaling read-heavy applications without database scaling costs. Of those, reducing database costs for ai workloads with unpredictable query patterns and improving read performance for frequently accessed data without hardware upgrades are not what Timeplus is typically brought in for.
What can Readyset do that Timeplus cannot?
Readyset covers Automatic Query Optimization, SQL-Level Caching, Live Incremental Updates, Zero-Touch Integration. Timeplus covers Streaming SQL, Unified streaming and historical, ClickHouse-based engine, Single binary deployment.

Answered from the vendors’ own pages

Readyset: Do I need to change my application code?

No, Readyset integrates transparently through query interception with zero code changes or schema modifications required.

Source
Timeplus: Is Timeplus open source?

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

Readyset: Is there a free trial?

Yes, Readyset offers a free 7-day trial that lets you test different cache sizes before committing to a paid plan.

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.

Readyset: How does Readyset pricing work?

Readyset is available as a monthly or annual subscription charged based on the size of cache you need. Contact [email protected] for specific pricing.

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.

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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