Softwr

Databases · head to head

Zilliz vs Apache Pulsar

Zilliz logo

Zilliz

Databases

Managed vector database and vector lakebase for AI applications

From
Free
Rated
-
Full reviewWebsite
Apache Pulsar logo

Apache Pulsar

Databases

Cloud-native messaging and streaming with separated storage

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Zilliz pricing structure not publicly disclosed, requires sales contact; Apache Pulsar more components than Kafka: brokers, BookKeeper and ZooKeeper each need operating
  • They diverge on capability: Zilliz covers Vector indexing, Apache Pulsar covers Separated storage.

Where they differ

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

Attributes where Zilliz and Apache Pulsar differ
AttributeZillizApache Pulsar
Pricing modelcontact-salesOpen source, no licence fee
PlatformsCloud, Self-hostedLinux, Docker, Kubernetes, Self-hosted
Founded2017Unknown

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 Zilliz

  • Vector indexing
  • Distributed architecture
  • SQL interface
  • Tensor support
  • Real-time search
  • Cloud-native
  • Open-source compatible

Only in Apache Pulsar

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

What people use each for

The jobs each tool is most often brought in to do.

Zilliz

  • Build retrieval-augmented generation (RAG) systemsnot Apache Pulsar
  • Implement semantic search over documentsnot Apache Pulsar
  • Create multimodal search with text and imagesnot Apache Pulsar
  • Power recommendation engines with vector similaritynot Apache Pulsar
  • Enable similarity search on user embeddingsnot Apache Pulsar

Apache Pulsar

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

Where each one falls short

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

Zilliz

  • Pricing structure not publicly disclosed, requires sales contact
  • Operational complexity for self-hosted Milvus deployments
  • Learning curve for those unfamiliar with vector databases
  • Limited built-in analytics compared to some alternatives

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

Pricing, plan by plan

Zilliz

Free

No published plan breakdown. See the Zilliz review.

Apache Pulsar

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

Which should you pick?

Choose Zilliz if

  • You need vector indexing.
  • You want to start without paying.
  • You work on Cloud, Self-hosted.
  • You also want distributed architecture.
Zilliz review

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

Questions people ask

Is Zilliz or Apache Pulsar better?
Neither clearly leads. Zilliz starts at Free and Apache Pulsar at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Zilliz or Apache Pulsar?
Zilliz starts at Free and Apache Pulsar at Free.
Does Zilliz or Apache Pulsar run on more platforms?
Zilliz runs on Cloud, Self-hosted. Apache Pulsar runs on Linux, Docker, Kubernetes, Self-hosted.
Can I use Zilliz for free?
Both have a free tier, so you can try either at no cost before committing.
What is Zilliz best used for?
Zilliz is most often used for build retrieval-augmented generation (rag) systems, implement semantic search over documents, create multimodal search with text and images, power recommendation engines with vector similarity. Of those, build retrieval-augmented generation (rag) systems and implement semantic search over documents are not what Apache Pulsar is typically brought in for.
What can Zilliz do that Apache Pulsar cannot?
Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support. Apache Pulsar covers Separated storage, Queuing and streaming, Built-in multi-tenancy, Geo-replication.

Answered from the vendors’ own pages

Zilliz: What is the difference between Milvus and Zilliz Cloud?

Milvus is the open-source vector database that you can self-host. Zilliz Cloud is the fully managed service built on Milvus that removes operational overhead and handles scaling automatically.

Source
Apache Pulsar: Is Apache Pulsar free?

Yes, open source under the Apache Software Foundation.

Zilliz: How many vectors can Zilliz handle?

Milvus and Zilliz Cloud can store and search billions of vectors through their distributed architecture that separates storage and compute layers.

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.

Zilliz: Is Milvus open-source?

Yes, Milvus is open-source under the Apache License 2.0 and is part of the LF AI & Data Foundation.

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.

Zilliz: What pricing does Zilliz Cloud offer?

Zilliz Cloud pricing is not publicly listed and requires contacting their team to discuss your specific scale and use case requirements.

Source
Share

Related pages

More on Zilliz

More on Apache Pulsar

Keep looking

Other head to heads