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Databases · head to head

Fivetran HVR vs Zilliz

Fivetran HVR logo

Fivetran HVR

Databases

Log-based change data capture for database replication and synchronization

From
On request
Rated
-
Full reviewWebsite
Zilliz logo

Zilliz

Databases

Managed vector database and vector lakebase for AI applications

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Zilliz has a free tier, so it costs nothing to try first.
  • Each has a real cost: Fivetran HVR pricing not published separately; part of Fivetran's usage model; Zilliz pricing structure not publicly disclosed, requires sales contact
  • They diverge on capability: Fivetran HVR covers Log-based change capture, Zilliz covers Vector indexing.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Fivetran HVR and Zilliz actually diverge.

Attributes where Fivetran HVR and Zilliz differ
AttributeFivetran HVRZilliz
Starting priceOn requestFree
Pricing modelUsage-based, integrated with Fivetran billingcontact-sales
Free tierNoYes
PlatformsData Warehouse, Data Lake, Operational DatabasesCloud, Self-hosted
Founded20122017

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 Fivetran HVR

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

Only in Zilliz

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

What people use each for

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

Fivetran HVR

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

Zilliz

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

Where each one falls short

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

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

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

Pricing, plan by plan

Fivetran HVR

On request

No published plan breakdown. See the Fivetran HVR review.

Zilliz

Free

No published plan breakdown. See the Zilliz review.

Which should you pick?

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

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

Questions people ask

Is Fivetran HVR or Zilliz better?
Neither clearly leads. Fivetran HVR starts at On request and Zilliz at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Fivetran HVR or Zilliz?
Zilliz has a free tier; the other does not. Paid plans start at On request for Fivetran HVR and Free for Zilliz.
Does Fivetran HVR or Zilliz run on more platforms?
Fivetran HVR runs on Data Warehouse, Data Lake, Operational Databases. Zilliz runs on Cloud, Self-hosted.
Can I use Zilliz for free?
Yes. Zilliz has a free tier, so you can try it without paying. Fivetran HVR starts at On request.
What is Fivetran HVR best used for?
Fivetran HVR is most often used for real-time database replication to data warehouses, maintaining operational copies for analytics, disaster recovery and business continuity, feeding ai systems with fresh governed data. Of those, real-time database replication to data warehouses and maintaining operational copies for analytics are not what Zilliz is typically brought in for.
What can Fivetran HVR do that Zilliz cannot?
Fivetran HVR covers Log-based change capture, Real-time replication, Schema evolution handling, Multi-table consistency. Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support.

Answered from the vendors’ own pages

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
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
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
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
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
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
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