Databases · head to head
Zilliz vs Readyset

Zilliz
Databases
Managed vector database and vector lakebase for AI applications
- From
- Free
- Rated
- -

Readyset
Databases
Database caching and optimization that reduces infrastructure costs 30-70%
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Zilliz pricing structure not publicly disclosed, requires sales contact; Readyset pricing requires contacting sales team, making cost planning difficult
- They diverge on capability: Zilliz covers Vector indexing, Readyset covers Automatic Query Optimization.
Where they differ
Only the attributes on which Zilliz and Readyset actually diverge.
Identical on both: starting price (Free), free tier (Yes), platforms (Cloud, Self-hosted), 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 Readyset
- Automatic Query Optimization
- SQL-Level Caching
- Live Incremental Updates
- Zero-Touch Integration
- Query Interception
- AI Query Protection
What people use each for
The jobs each tool is most often brought in to do.
Zilliz
- Build retrieval-augmented generation (RAG) systemsnot Readyset
- Implement semantic search over documentsnot Readyset
- Create multimodal search with text and imagesnot Readyset
- Power recommendation engines with vector similaritynot Readyset
- Enable similarity search on user embeddingsnot Readyset
Readyset
- Reducing database costs for AI workloads with unpredictable query patternsnot Zilliz
- Improving read performance for frequently accessed data without hardware upgradesnot Zilliz
- Protecting databases from performance degradation caused by agentic queriesnot Zilliz
- Scaling read-heavy applications without database scaling costsnot 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
Readyset
- Pricing requires contacting sales team, making cost planning difficult
- Specific pricing tiers not disclosed publicly
- Requires cache size estimation for cost calculation
- Limited to read query caching, does not address write performance
Pricing, plan by plan
Zilliz
FreeNo published plan breakdown. See the Zilliz review.
Readyset
Free- CommunityFree
- Free tier for evaluation
- 7-day trial available
- Readyset CloudFree
- Fully-managed AWS deployment
- High availability
- VPC peering support
- Readyset PrivateFree
- Self-hosted on your servers
- Complete control
- Custom deployment
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.
Choose Readyset if
- You need automatic query optimization.
- You want to start without paying.
- You work on Cloud, Self-Hosted.
- You also want sql-level caching.
Questions people ask
- Is Zilliz or Readyset better?
- Neither clearly leads. Zilliz starts at Free and Readyset at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Zilliz or Readyset?
- Zilliz starts at Free and Readyset at Free.
- Does Zilliz or Readyset run on more platforms?
- Zilliz runs on Cloud, Self-hosted. Readyset runs on Cloud, 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 Readyset is typically brought in for.
- What can Zilliz do that Readyset cannot?
- Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support. Readyset covers Automatic Query Optimization, SQL-Level Caching, Live Incremental Updates, Zero-Touch Integration.
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.
SourceReadyset: Do I need to change my application code?
No, Readyset integrates transparently through query interception with zero code changes or schema modifications required.
SourceZilliz: 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.
SourceReadyset: Is there a free trial?
Yes, Readyset offers a free 7-day trial that lets you test different cache sizes before committing to a paid plan.
SourceZilliz: Is Milvus open-source?
Yes, Milvus is open-source under the Apache License 2.0 and is part of the LF AI & Data Foundation.
SourceReadyset: How does Readyset pricing work?
Readyset is available as a monthly or annual subscription charged based on the size of cache you need. Contact [email protected] for specific pricing.
SourceZilliz: 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.
SourceRelated pages
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- Readyset vs Amazon Aurora
- Readyset vs Elasticsearch
- Readyset vs Apache Kafka
- Readyset vs PlanetScale
- Readyset vs Meilisearch
- Readyset vs Turso
- Readyset vs Azure SQL
- Readyset vs ClickHouse
- Readyset vs Couchbase
- Readyset vs DuckDB
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