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Databases · head to head

Apache Pulsar vs Xata

Apache Pulsar logo

Apache Pulsar

Databases

Cloud-native messaging and streaming with separated storage

From
Free
Rated
-
Full reviewWebsite
Xata logo

Xata

Databases

Apache 2.0 platform for running many Postgres instances on Kubernetes, with copy-on-write branching and scale-to-zero.

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; Xata self-hosting means operating Kubernetes and CloudNativePG, so the Apache 2.0 licence removes the vendor bill but replaces it with a platform team, and a database platform is not something a part-time operator maintains safely.
  • They diverge on capability: Apache Pulsar covers Separated storage, Xata covers Copy-on-write branching.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where Apache Pulsar and Xata differ
AttributeApache PulsarXata
Pricing modelOpen source, no licence feeusage-based
PlatformsLinux, Docker, Kubernetes, Self-hostedWeb

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 Apache Pulsar

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

Only in Xata

  • Copy-on-write branching
  • Scale-to-zero compute
  • Compute autoscaling and bin-packing
  • High availability with failover
  • Point-in-time recovery
  • Serverless driver
  • pgroll migrations
  • pgstream replication

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 Xata
  • Multi-tenant messaging where isolation between teams is a requirementnot Xata
  • Deployments where storage and traffic grow at genuinely different ratesnot Xata

Xata

  • Giving every pull request or coding agent its own branch of the production database, with real data volumes rather than a seeded fixturenot Apache Pulsar
  • Running managed-Postgres economics in your own cloud account where data residency or compliance rules out a third-party control planenot Apache Pulsar
  • Consolidating many small, mostly idle Postgres databases onto shared infrastructure where scale-to-zero and bin-packing recover the idle costnot Apache Pulsar
  • Testing a destructive migration against a copy of production without waiting for a full restore or paying for a duplicate of the storagenot 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

Xata

  • Self-hosting means operating Kubernetes and CloudNativePG, so the Apache 2.0 licence removes the vendor bill but replaces it with a platform team, and a database platform is not something a part-time operator maintains safely.
  • Copy-on-write branches are cheap to create but diverge as they are written to, so a long-lived branch carrying a heavy backfill quietly accumulates real storage and the cost arrives later than the decision that caused it.
  • Scale-to-zero means the first connection after an idle period pays a cold start, which is invisible in a busy production database and very visible in a demo, a staging environment or a cron job that runs once an hour.
  • The Xata sold before 2025 was a different product, a proprietary API and SDK layered over Postgres, so tutorials, blog posts and SDK examples from that era describe something that no longer exists and existing users had to migrate.
  • As a managed service it competes with RDS, Aurora and Cloud SQL, and it is a much smaller company, so procurement, certification coverage and the depth of the support bench behind a 3am corruption incident are all weaker than the incumbent even though the underlying Postgres is the same.

Pricing, plan by plan

Apache Pulsar

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

Xata

Free
  • Free TrialFree
    • 14 days free
    • No credit card required
  • Usage-Based$1/per 1000 branches
    • 1,000 branches for $1
    • Scale-to-zero compute model
    • Branches hibernate when idle

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 Xata if

  • You need copy-on-write branching.
  • You want to start without paying.
  • You also want scale-to-zero compute.
Xata review

Questions people ask

Is Apache Pulsar or Xata better?
Neither clearly leads. Apache Pulsar starts at Free and Xata at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Pulsar or Xata?
Apache Pulsar starts at Free and Xata at Free.
Does Apache Pulsar or Xata run on more platforms?
Apache Pulsar runs on Linux, Docker, Kubernetes, Self-hosted. Xata runs on Web.
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 Xata is typically brought in for.
What can Apache Pulsar do that Xata cannot?
Apache Pulsar covers Separated storage, Queuing and streaming, Built-in multi-tenancy, Geo-replication. Xata covers Copy-on-write branching, Scale-to-zero compute, Compute autoscaling and bin-packing, High availability with failover.

Answered from the vendors’ own pages

Apache Pulsar: Is Apache Pulsar free?

Yes, open source under the Apache Software Foundation.

Xata: Is it real Postgres or a compatible reimplementation?

Real Postgres. It runs upstream Postgres instances on Kubernetes via CloudNativePG, so extensions, the wire protocol and version upgrades behave as they do anywhere else.

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.

Xata: Can I self-host the whole thing?

Yes. The platform is Apache 2.0 and designed for self-hosting a large number of Postgres instances on your own Kubernetes. Xata Cloud is the same platform run as a service.

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.

Xata: Does branching copy my data?

No. Branches are copy-on-write at the storage layer, so creating one is near-instant regardless of database size and storage is only consumed as the branch diverges from its parent.

Xata: Is this the same Xata I used a couple of years ago?

No. The earlier product was a proprietary database API with its own SDK and search layer. The current product is a Postgres platform, and material written for the old one does not apply.

Xata: What happens to a branch when the parent changes?

A branch is a point-in-time fork. Later changes on the parent are not propagated, so long-lived branches drift and need to be recreated rather than refreshed if you want current data.

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