Cloud · head to head
OpenEBS vs Timeplus
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: OpenEBS there is no vendor on the other end of an incident unless you separately contract DataCore, so an outage at three in the morning is resolved by your own team and a public Slack channel.; 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: OpenEBS covers Replicated engine, Timeplus covers Streaming SQL.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which OpenEBS 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 OpenEBS
- Replicated engine
- Local PV engines
- Kubernetes-native management
- Snapshots and clones
- No licence fee
- Hardware independence
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.
OpenEBS
- Running Cassandra or Kafka on Kubernetes where the application already replicates and node-local volumes are sufficientnot Timeplus
- A platform team that needs persistent volumes on bare metal Kubernetes without a per node subscriptionnot Timeplus
- An edge or lab deployment where a commercial storage licence cannot be justifiednot Timeplus
- Replacing hostpath volumes with something that has snapshots and a Container Storage Interface drivernot Timeplus
Timeplus
- Real-time alerting on Kafka topics where standing up a Flink cluster is more work than the use case justifiesnot OpenEBS
- Fraud or anomaly detection that must join a live event stream against recent history in one querynot OpenEBS
- Streaming ETL from Kafka or MySQL change data capture into ClickHouse without writing Javanot OpenEBS
- A small data team that needs continuous aggregation but has no platform engineers to operate JVM infrastructurenot OpenEBS
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
OpenEBS
- There is no vendor on the other end of an incident unless you separately contract DataCore, so an outage at three in the morning is resolved by your own team and a public Slack channel.
- The project has several storage engines with different maturity and different operational characteristics, and choosing the wrong one for your workload produces poor results that look like a product failure.
- Documentation and upgrade guidance assume real Kubernetes storage knowledge, so teams without that expertise underestimate the operational load they are taking on.
- Project governance shifted after DataCore acquired MayaData in 2021, which means the direction of a supposedly neutral project is influenced by one commercial sponsor.
- Disaster recovery, cross-cluster replication and policy-driven data services are thinner than in the commercial alternatives, so organisations with those requirements end up building them or buying a product anyway.
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
OpenEBS
Free- OpenEBSFree
- Apache 2.0 licensed
- All storage engines included
- No node or capacity limits
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 OpenEBS if
- You need replicated engine.
- You want to start without paying.
- You work on Linux.
- You also want local pv engines.
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 OpenEBS or Timeplus better?
- Neither clearly leads. OpenEBS 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, OpenEBS or Timeplus?
- OpenEBS starts at Free and Timeplus at Free.
- Does OpenEBS or Timeplus run on more platforms?
- OpenEBS runs on Linux. Timeplus runs on Linux, macOS, Docker, Kubernetes, Web.
- Can I use OpenEBS for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is OpenEBS best used for?
- OpenEBS is most often used for running cassandra or kafka on kubernetes where the application already replicates and node-local volumes are sufficient, a platform team that needs persistent volumes on bare metal kubernetes without a per node subscription, an edge or lab deployment where a commercial storage licence cannot be justified, replacing hostpath volumes with something that has snapshots and a container storage interface driver. Of those, running cassandra or kafka on kubernetes where the application already replicates and node-local volumes are sufficient and a platform team that needs persistent volumes on bare metal kubernetes without a per node subscription are not what Timeplus is typically brought in for.
- What can OpenEBS do that Timeplus cannot?
- OpenEBS covers Replicated engine, Local PV engines, Kubernetes-native management, Snapshots and clones. Timeplus covers Streaming SQL, Unified streaming and historical, ClickHouse-based engine, Single binary deployment.
Answered from the vendors’ own pages
OpenEBS: Who supports it in production?
The project is community supported. Commercial support is available from DataCore, which acquired the original sponsor MayaData in 2021. Establish that relationship before production, not during an incident.
Timeplus: Is Timeplus open source?
The core engine, Timeplus Proton, is Apache 2.0. Timeplus Enterprise and Cloud are commercial.
OpenEBS: Which engine should we use?
If your application replicates its own data, use a Local engine and avoid replicating twice. If it does not, such as with PostgreSQL, use the Replicated engine.
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.
OpenEBS: Does it cost anything?
No licence fee. The cost is operational, and a support contract if you want someone accountable.
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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