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MongoDB vs Zilliz

MongoDB logo

MongoDB

Technology

The developer data platform

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: MongoDB 16 MB maximum document size limits large single objects; Zilliz pricing structure not publicly disclosed, requires sales contact
  • They diverge on capability: MongoDB covers Document model, Zilliz covers Vector indexing.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which MongoDB and Zilliz actually diverge.

Attributes where MongoDB and Zilliz differ
AttributeMongoDBZilliz
Pricing modelUnknowncontact-sales
PlatformsCloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure)Cloud, Self-hosted
CategoryTechnologyDatabases
Founded20072017

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 MongoDB

  • Document model
  • ACID transactions
  • Real-time analytics
  • Full-text search
  • Time series data
  • Geospatial queries
  • Aggregation framework
  • Node.js

Only in Zilliz

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

Both cover

  • Distributed architecture

What people use each for

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

MongoDB

  • Mobile applicationsnot Zilliz
  • Content managementnot Zilliz
  • Real-time analyticsnot Zilliz
  • IoT applicationsnot Zilliz
  • Gaming backendsnot Zilliz

Zilliz

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

Where each one falls short

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

MongoDB

  • 16 MB maximum document size limits large single objects
  • No native JOIN support for relational data operations
  • Higher memory usage due to storing field names with each document
  • Eventual consistency in distributed deployments can cause data stale reads

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

MongoDB

Free
  • M0Free
    • 512 MB storage
    • Learning and exploration
  • M2$9/month
    • 2 GB storage
    • Development and testing
  • M5$25/month
    • 5 GB storage
  • M10+$56.94/month
    • Dedicated clusters for production

Zilliz

Free

No published plan breakdown. See the Zilliz review.

Which should you pick?

Choose MongoDB if

  • You need document model.
  • You want to start without paying.
  • You work on Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure).
  • You also want acid transactions.

Choose Zilliz if

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

Questions people ask

Is MongoDB or Zilliz better?
Neither clearly leads. MongoDB 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, MongoDB or Zilliz?
MongoDB starts at Free and Zilliz at Free.
Does MongoDB or Zilliz run on more platforms?
MongoDB runs on Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure). Zilliz runs on Cloud, Self-hosted.
Can I use MongoDB for free?
Both have a free tier, so you can try either at no cost before committing.
What is MongoDB best used for?
MongoDB is most often used for mobile applications, content management, real-time analytics, iot applications. Of those, mobile applications and content management are not what Zilliz is typically brought in for.
What can MongoDB do that Zilliz cannot?
MongoDB covers Document model, ACID transactions, Real-time analytics, Full-text search. Zilliz covers Vector indexing, SQL interface, Tensor support, Real-time search. Both handle Distributed architecture.

Answered from the vendors’ own pages

MongoDB: Does MongoDB offer a free tier?

Yes. MongoDB Atlas offers an M0 free tier with 512 MB storage for learning and exploration, plus paid options starting at $9/month for M2 with 2 GB storage.

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
MongoDB: Can I self-host MongoDB?

Yes. You can run MongoDB Community Edition on your own servers, or use MongoDB Enterprise Advanced for self-managed production deployments with enterprise features.

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
MongoDB: What is the maximum document size in MongoDB?

Documents are limited to 16 MB. For documents exceeding this limit, you can use MongoDB's GridFS API to store files larger than the maximum size.

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
MongoDB: Does MongoDB support ACID transactions?

Yes. MongoDB supports ACID transactions within a single document by default, and multi-document ACID transactions are available for replica sets and sharded clusters in MongoDB 4.0+.

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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