Developer Tools · head to head
Jitsu vs OpenEBS
Jitsu
Developer Tools
Open source event pipeline that streams behavioural data to your own warehouse
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Jitsu jitsu is a pipeline, not a customer data platform, so identity resolution, audience building and reverse ETL are absent and a marketing team expecting Segment parity will be disappointed.; 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.
- They diverge on capability: Jitsu covers Event collection, OpenEBS covers Replicated engine.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Jitsu and OpenEBS 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 Jitsu
- Event collection
- Warehouse destinations
- Connector syncs
- Transformations
- Bundled ClickHouse
- Event debugger
- Self-hosting
- Custom domains
Only in OpenEBS
- Replicated engine
- Local PV engines
- Kubernetes-native management
- Snapshots and clones
- No licence fee
- Hardware independence
What people use each for
The jobs each tool is most often brought in to do.
Jitsu
- A team paying five figures a year to a customer data platform when all it actually does is send events to Snowflakenot OpenEBS
- An engineering group that needs event collection running inside its own VPC for data residency or security review reasonsnot OpenEBS
- A product analytics setup that wants raw events in the warehouse as the source of truth rather than trapped in a vendor toolnot OpenEBS
- A startup that needs first-party event collection on its own domain to reduce loss from tracker blocking without paying CDP pricesnot OpenEBS
OpenEBS
- Running Cassandra or Kafka on Kubernetes where the application already replicates and node-local volumes are sufficientnot Jitsu
- A platform team that needs persistent volumes on bare metal Kubernetes without a per node subscriptionnot Jitsu
- An edge or lab deployment where a commercial storage licence cannot be justifiednot Jitsu
- Replacing hostpath volumes with something that has snapshots and a Container Storage Interface drivernot Jitsu
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Jitsu
- Jitsu is a pipeline, not a customer data platform, so identity resolution, audience building and reverse ETL are absent and a marketing team expecting Segment parity will be disappointed.
- Connector sync frequency is deliberately tiered, with the free plan limited to manual runs and one daily sync, so anything approaching operational freshness requires the paid plan or self-hosting.
- Self-hosting means you own the reliability of a system that drops data silently when misconfigured, and event loss is uniquely hard to notice because nothing errors, the numbers are just quietly lower.
- The connector catalogue is far smaller than Fivetran or Airbyte, so if your requirement is pulling from many SaaS sources rather than pushing events, Jitsu is the wrong half of the problem.
- It is a small company with a small commercial team, so enterprise procurement processes around security review, contractual SLAs and support escalation take longer than with an incumbent vendor.
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.
Pricing, plan by plan
Jitsu
Free- Open SourceFree
- MIT licence
- Self-host on any cloud
- No usage limits
- Cloud FreeFree
- Unlimited captured events
- 200,000 active events per month
- Manual connector runs only
- Business$99/month
- 2,000,000 active events per month
- $40 per additional million events
- Hourly connector sync frequency
- Enterprise$undefined/year
- Custom event volume
- One minute sync frequency
- Unlimited active syncs
OpenEBS
Free- OpenEBSFree
- Apache 2.0 licensed
- All storage engines included
- No node or capacity limits
Which should you pick?
Choose Jitsu if
- You need event collection.
- You want to start without paying.
- You work on Web, Linux, Docker, Kubernetes, iOS, Android.
- You also want warehouse destinations.
Choose OpenEBS if
- You need replicated engine.
- You want to start without paying.
- You work on Linux.
- You also want local pv engines.
Questions people ask
- Is Jitsu or OpenEBS better?
- Neither clearly leads. Jitsu starts at Free and OpenEBS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Jitsu or OpenEBS?
- Jitsu starts at Free and OpenEBS at Free.
- Does Jitsu or OpenEBS run on more platforms?
- Jitsu runs on Web, Linux, Docker, Kubernetes, iOS, Android. OpenEBS runs on Linux.
- Can I use Jitsu for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Jitsu best used for?
- Jitsu is most often used for a team paying five figures a year to a customer data platform when all it actually does is send events to snowflake, an engineering group that needs event collection running inside its own vpc for data residency or security review reasons, a product analytics setup that wants raw events in the warehouse as the source of truth rather than trapped in a vendor tool, a startup that needs first-party event collection on its own domain to reduce loss from tracker blocking without paying cdp prices. Of those, a team paying five figures a year to a customer data platform when all it actually does is send events to snowflake and an engineering group that needs event collection running inside its own vpc for data residency or security review reasons are not what OpenEBS is typically brought in for.
- What can Jitsu do that OpenEBS cannot?
- Jitsu covers Event collection, Warehouse destinations, Connector syncs, Transformations. OpenEBS covers Replicated engine, Local PV engines, Kubernetes-native management, Snapshots and clones.
Answered from the vendors’ own pages
Jitsu: Is Jitsu the same as Jitsi?
No. Jitsu is an open source event data pipeline. Jitsi is an unrelated video conferencing project.
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.
Jitsu: Can I self-host for free?
Yes. The project is MIT licensed with no usage limits when self-hosted.
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.
Jitsu: How does the cost compare with Segment?
The Business plan is 99 US dollars a month for two million active events, where a per-tracked-user CDP typically costs orders of magnitude more at comparable volume.
OpenEBS: Does it cost anything?
No licence fee. The cost is operational, and a support contract if you want someone accountable.
Jitsu: Does Jitsu do identity resolution?
No. It transports and transforms events; identity stitching and audiences are not part of the product.
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