Softwr

Databases · head to head

Estuary vs Zilliz

Estuary logo

Estuary

Databases

Real-time data integration combining streaming, CDC, and batch

From
Free
Rated
-
Zilliz logo

Zilliz

Databases

Managed vector database and vector lakebase for AI applications

From
Free
Rated
-

The short version

  • Each has a real cost: Estuary per-GB pricing adds up quickly for high-volume scenarios; Zilliz pricing structure not publicly disclosed, requires sales contact
  • They diverge on capability: Estuary covers Real-time data delivery, Zilliz covers Vector indexing.

Where they differ

Only the attributes on which Estuary and Zilliz actually diverge.

Attributes where Estuary and Zilliz differ
AttributeEstuaryZilliz
Pricing modelUsage-based per GB plus per-connector costcontact-sales
PlatformsCloud, Private Cloud, BYOCCloud, Self-hosted
Founded20192017

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 Estuary

  • Real-time data delivery
  • Change data capture
  • Batch processing
  • Data transformation
  • Pre-built connectors
  • Multiple deployments
  • RBAC and monitoring

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.

Estuary

  • Real-time data replication to data warehousesnot Zilliz
  • Change data capture from operational databasesnot Zilliz
  • Feeding analytics and BI systems with fresh datanot Zilliz
  • Powering real-time AI and ML data pipelinesnot Zilliz

Zilliz

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

Where each one falls short

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

Estuary

  • Per-GB pricing adds up quickly for high-volume scenarios
  • No transparent per-connector volume discounts below 6 connectors
  • Limited to data movement; transformation capabilities are basic
  • BYOC and private deployment requires enterprise plan
  • Smaller ecosystem compared to established alternatives

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

Estuary

Free
  • DeveloperFree
    • 10 GB per month
    • 2 connector instances maximum
    • No credit card required
  • Cloud$0.5/GB
    • $0.50 per GB of data moved
    • $100 per connector monthly (6+ connectors $50 each)
    • 200+ connectors
  • Enterprise$null/custom
    • Volume-based discounts
    • SOC 2 and HIPAA compliance
    • SSO authentication

Zilliz

Free

No published plan breakdown. See the Zilliz review.

Which should you pick?

Choose Estuary if

  • You need real-time data delivery.
  • You want to start without paying.
  • You work on Cloud, Private Cloud, BYOC.
  • You also want change data capture.

Choose Zilliz if

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

Questions people ask

Is Estuary or Zilliz better?
Neither clearly leads. Estuary starts at Free and Zilliz at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Estuary or Zilliz?
Estuary starts at Free and Zilliz at Free.
Does Estuary or Zilliz run on more platforms?
Estuary runs on Cloud, Private Cloud, BYOC. Zilliz runs on Cloud, Self-hosted.
Can I use Estuary for free?
Both have a free tier, so you can try either at no cost before committing.
What is Estuary best used for?
Estuary is most often used for real-time data replication to data warehouses, change data capture from operational databases, feeding analytics and bi systems with fresh data, powering real-time ai and ml data pipelines. Of those, real-time data replication to data warehouses and change data capture from operational databases are not what Zilliz is typically brought in for.
What can Estuary do that Zilliz cannot?
Estuary covers Real-time data delivery, Change data capture, Batch processing, Data transformation. Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support.

Answered from the vendors’ own pages

Estuary: What is included in the free Developer plan?

Developer plan ($0/month) includes 10 GB of data per month and up to 2 connector instances, no credit card required.

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
Estuary: How is data pricing calculated on Cloud plan?

Cloud plan charges $0.50 per GB of data moved plus $100/month per connector for the first 6 connectors, then $50/month for additional connectors.

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
Estuary: What discount is available when adding 6+ connectors?

When using 6 or more connectors, the per-connector cost drops to $50/month from $100/month, saving $50 per additional connector.

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
Share

Related pages

Other head to heads