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Databases · head to head

Apache Pulsar vs Fivetran HVR

Apache Pulsar logo

Apache Pulsar

Databases

Cloud-native messaging and streaming with separated storage

From
Free
Rated
-
Full reviewWebsite
Fivetran HVR logo

Fivetran HVR

Databases

Log-based change data capture for database replication and synchronization

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Apache Pulsar has a free tier, so it costs nothing to try first.
  • Each has a real cost: Apache Pulsar more components than Kafka: brokers, BookKeeper and ZooKeeper each need operating; Fivetran HVR pricing not published separately; part of Fivetran's usage model
  • They diverge on capability: Apache Pulsar covers Separated storage, Fivetran HVR covers Log-based change capture.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Apache Pulsar and Fivetran HVR actually diverge.

Attributes where Apache Pulsar and Fivetran HVR differ
AttributeApache PulsarFivetran HVR
Starting priceFreeOn request
Pricing modelOpen source, no licence feeUsage-based, integrated with Fivetran billing
Free tierYesNo
PlatformsLinux, Docker, Kubernetes, Self-hostedData Warehouse, Data Lake, Operational Databases
FoundedUnknown2012

Identical on both: 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 Fivetran HVR

  • Log-based change capture
  • Real-time replication
  • Schema evolution handling
  • Multi-table consistency
  • Zero-impact monitoring
  • Fivetran integration

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

Fivetran HVR

  • Real-time database replication to data warehousesnot Apache Pulsar
  • Maintaining operational copies for analyticsnot Apache Pulsar
  • Disaster recovery and business continuitynot Apache Pulsar
  • Feeding AI systems with fresh governed datanot 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

Fivetran HVR

  • Pricing not published separately; part of Fivetran's usage model
  • Requires Fivetran relationship for implementation
  • Limited standalone documentation and community resources
  • May be overkill for simple batch replication needs
  • Competitive offerings provide more transparent per-connector pricing

Pricing, plan by plan

Apache Pulsar

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

Fivetran HVR

On request

No published plan breakdown. See the Fivetran HVR review.

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 Fivetran HVR if

  • You need log-based change capture.
  • You work on Data Warehouse, Data Lake, Operational Databases.
  • You also want real-time replication.
Fivetran HVR review

Questions people ask

Is Apache Pulsar or Fivetran HVR better?
Neither clearly leads. Apache Pulsar starts at Free and Fivetran HVR at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Pulsar or Fivetran HVR?
Apache Pulsar has a free tier; the other does not. Paid plans start at Free for Apache Pulsar and On request for Fivetran HVR.
Does Apache Pulsar or Fivetran HVR run on more platforms?
Apache Pulsar runs on Linux, Docker, Kubernetes, Self-hosted. Fivetran HVR runs on Data Warehouse, Data Lake, Operational Databases.
Can I use Apache Pulsar for free?
Yes. Apache Pulsar has a free tier, so you can try it without paying. Fivetran HVR starts at On request.
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 Fivetran HVR is typically brought in for.
What can Apache Pulsar do that Fivetran HVR cannot?
Apache Pulsar covers Separated storage, Queuing and streaming, Built-in multi-tenancy, Geo-replication. Fivetran HVR covers Log-based change capture, Real-time replication, Schema evolution handling, Multi-table consistency.

Answered from the vendors’ own pages

Apache Pulsar: Is Apache Pulsar free?

Yes, open source under the Apache Software Foundation.

Fivetran HVR: What databases does Fivetran HVR support?

HVR supports major databases including Oracle, SQL Server, PostgreSQL, MySQL, and others that emit transaction logs.

Source
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.

Fivetran HVR: Is HVR part of standard Fivetran pricing?

Yes, HVR is integrated into Fivetran's usage-based pricing model with standard per-row-synced and transformation costs.

Source
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.

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