Cloud · head to head
Rook vs Timeplus

Rook
Cloud
Kubernetes operator that deploys and manages Ceph storage clusters
- From
- Free
- Rated
- -

Timeplus
Databases
Streaming SQL engine built on ClickHouse internals, shipping as one small binary
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Rook rook automates Ceph but does not abstract it, so an incident still demands Ceph expertise, and organisations without it end up hiring consultants at exactly the wrong moment.; 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: Rook covers Ceph operator, Timeplus covers Streaming SQL.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Rook and Timeplus actually diverge.
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 Rook
- Ceph operator
- Block, file and object
- Erasure coding
- CSI driver
- Automated upgrades
- Multi-cluster mirroring
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.
Rook
- An on-premises Kubernetes platform needing block, shared filesystem and S3 storage without buying three productsnot Timeplus
- A team that already runs Ceph and wants its lifecycle managed declaratively inside Kubernetesnot Timeplus
- A large cluster where three-way replication overhead is unaffordable and erasure coding is requirednot Timeplus
- An organisation building a private cloud that cannot use managed cloud storage services for residency reasonsnot Timeplus
Timeplus
- Real-time alerting on Kafka topics where standing up a Flink cluster is more work than the use case justifiesnot Rook
- Fraud or anomaly detection that must join a live event stream against recent history in one querynot Rook
- Streaming ETL from Kafka or MySQL change data capture into ClickHouse without writing Javanot Rook
- A small data team that needs continuous aggregation but has no platform engineers to operate JVM infrastructurenot Rook
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Rook
- Rook automates Ceph but does not abstract it, so an incident still demands Ceph expertise, and organisations without it end up hiring consultants at exactly the wrong moment.
- There is no vendor and no SLA; the realistic commercial support routes are IBM Red Hat OpenShift Data Foundation or an independent Ceph consultancy, both of which change the cost picture entirely.
- Ceph is resource hungry, needing substantial memory and dedicated disks per OSD, so the hardware cost of a properly sized cluster is often underestimated.
- Recovery and rebalancing after a disk or node failure generates heavy background input and output that can degrade application performance for hours, which surprises teams sizing for steady state.
- Minimum viable clusters require several nodes with several disks each, so it is impractical at small scale and the entry hardware cost exceeds simpler alternatives.
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
Rook
Free- RookFree
- Apache 2.0 licensed, no licence fee
- Graduated CNCF project
- Community support via GitHub and Slack only
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 Rook if
- You need ceph operator.
- You want to start without paying.
- You work on Linux, Kubernetes.
- You also want block, file and object.
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.
Questions people ask
- Is Rook or Timeplus better?
- Neither clearly leads. Rook 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, Rook or Timeplus?
- Rook starts at Free and Timeplus at Free.
- Does Rook or Timeplus run on more platforms?
- Rook runs on Linux, Kubernetes. Timeplus runs on Linux, macOS, Docker, Kubernetes, Web.
- Can I use Rook for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Rook best used for?
- Rook is most often used for an on-premises kubernetes platform needing block, shared filesystem and s3 storage without buying three products, a team that already runs ceph and wants its lifecycle managed declaratively inside kubernetes, a large cluster where three-way replication overhead is unaffordable and erasure coding is required, an organisation building a private cloud that cannot use managed cloud storage services for residency reasons. Of those, an on-premises kubernetes platform needing block, shared filesystem and s3 storage without buying three products and a team that already runs ceph and wants its lifecycle managed declaratively inside kubernetes are not what Timeplus is typically brought in for.
- What can Rook do that Timeplus cannot?
- Rook covers Ceph operator, Block, file and object, Erasure coding, CSI driver. Timeplus covers Streaming SQL, Unified streaming and historical, ClickHouse-based engine, Single binary deployment.
Answered from the vendors’ own pages
Rook: Who supports it in production?
Nobody by default. IBM sells Red Hat OpenShift Data Foundation, which is supported Rook and Ceph, and independent consultancies sell Ceph support. Decide this before deployment.
Timeplus: Is Timeplus open source?
The core engine, Timeplus Proton, is Apache 2.0. Timeplus Enterprise and Cloud are commercial.
Rook: Does it need Ceph knowledge?
Yes. Rook handles deployment and routine operations, but troubleshooting a degraded cluster is a Ceph skill and there is no way around it.
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.
Rook: Can it replace an object storage appliance?
Functionally yes, through the RADOS gateway, but you take on the operations that an appliance vendor would otherwise carry.
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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- Timeplus vs Wasabi
- Timeplus vs Podman
- Timeplus vs Azure Functions
- Timeplus vs Deno Deploy
- Timeplus vs Hetzner Cloud
- Timeplus vs Infracost
- Timeplus vs Lambda
- Timeplus vs Linode
- Timeplus vs Apache Flink
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- Timeplus vs Materialize
- Timeplus vs Redpanda
- Timeplus vs NATS
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- Timeplus vs Estuary
- Timeplus vs RisingWave
- Timeplus vs Meilisearch
- Timeplus vs Neo4j
- Timeplus vs OpenSearch
- Timeplus vs Qdrant
- Timeplus vs SingleStore
- Timeplus vs TiDB
- Timeplus vs Tinybird
- Timeplus vs Apache Kafka
- Timeplus vs Apache Pulsar
- Timeplus vs Apache Druid
