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Databases · head to head

Apache Pulsar vs OpenEBS

Apache Pulsar logo

Apache Pulsar

Databases

Cloud-native messaging and streaming with separated storage

From
Free
Rated
-
Full reviewWebsite
OpenEBS logo

OpenEBS

Cloud

Open source container-attached storage for Kubernetes

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Apache Pulsar more components than Kafka: brokers, BookKeeper and ZooKeeper each need operating; 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: Apache Pulsar covers Separated storage, OpenEBS covers Replicated engine.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Apache Pulsar and OpenEBS actually diverge.

Attributes where Apache Pulsar and OpenEBS differ
AttributeApache PulsarOpenEBS
PlatformsLinux, Docker, Kubernetes, Self-hostedLinux
CategoryDatabasesCloud

Identical on both: starting price (Free), pricing model (Open source, no licence fee), 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 Apache Pulsar

  • Separated storage
  • Queuing and streaming
  • Built-in multi-tenancy
  • Geo-replication

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.

Apache Pulsar

  • Platforms needing both work queues and replayable streams without running two systemsnot OpenEBS
  • Multi-tenant messaging where isolation between teams is a requirementnot OpenEBS
  • Deployments where storage and traffic grow at genuinely different ratesnot OpenEBS

OpenEBS

  • Running Cassandra or Kafka on Kubernetes where the application already replicates and node-local volumes are sufficientnot Apache Pulsar
  • A platform team that needs persistent volumes on bare metal Kubernetes without a per node subscriptionnot Apache Pulsar
  • An edge or lab deployment where a commercial storage licence cannot be justifiednot Apache Pulsar
  • Replacing hostpath volumes with something that has snapshots and a Container Storage Interface drivernot Apache Pulsar

Where each one falls short

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

Apache Pulsar

  • More components than Kafka: brokers, BookKeeper and ZooKeeper each need operating
  • Correspondingly harder to run well, and the expertise is rarer than Kafka expertise
  • A much smaller ecosystem of connectors, tooling and hiring pool than Kafka
  • The architectural advantages only pay off at a scale most deployments never reach

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

Apache Pulsar

Free
  • Apache PulsarFree
    • Full functionality
    • No usage limits
    • Community support

OpenEBS

Free
  • OpenEBSFree
    • Apache 2.0 licensed
    • All storage engines included
    • No node or capacity limits

Which should you pick?

Choose Apache Pulsar if

  • You need separated storage.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want queuing and streaming.
Apache Pulsar review

Choose OpenEBS if

  • You need replicated engine.
  • You want to start without paying.
  • You work on Linux.
  • You also want local pv engines.
OpenEBS review

Questions people ask

Is Apache Pulsar or OpenEBS better?
Neither clearly leads. Apache Pulsar 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, Apache Pulsar or OpenEBS?
Apache Pulsar starts at Free and OpenEBS at Free.
Does Apache Pulsar or OpenEBS run on more platforms?
Apache Pulsar runs on Linux, Docker, Kubernetes, Self-hosted. OpenEBS runs on Linux.
Can I use Apache Pulsar for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Pulsar best used for?
Apache Pulsar is most often used for platforms needing both work queues and replayable streams without running two systems, multi-tenant messaging where isolation between teams is a requirement, deployments where storage and traffic grow at genuinely different rates. Of those, platforms needing both work queues and replayable streams without running two systems and multi-tenant messaging where isolation between teams is a requirement are not what OpenEBS is typically brought in for.
What can Apache Pulsar do that OpenEBS cannot?
Apache Pulsar covers Separated storage, Queuing and streaming, Built-in multi-tenancy, Geo-replication. OpenEBS covers Replicated engine, Local PV engines, Kubernetes-native management, Snapshots and clones.

Answered from the vendors’ own pages

Apache Pulsar: Is Apache Pulsar free?

Yes, open source under the Apache Software Foundation.

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.

Apache Pulsar: Pulsar or Kafka?

Pulsar separates storage from compute and covers queuing and streaming in one system. Kafka has a far larger ecosystem and hiring pool. Most teams should have a specific reason before choosing Pulsar.

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.

Apache Pulsar: Why does separated storage matter?

Brokers hold no data, so adding or replacing one requires no rebalancing, and storage can grow without adding serving capacity.

OpenEBS: Does it cost anything?

No licence fee. The cost is operational, and a support contract if you want someone accountable.

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