Databases · head to head
YugabyteDB vs Zilliz

YugabyteDB
Databases
Open source distributed SQL database for cloud native apps
- From
- Free
- Rated
- -

Zilliz
Databases
Managed vector database and vector lakebase for AI applications
- From
- Free
- Rated
- -
The short version
- Each has a real cost: YugabyteDB missing PostgreSQL functions and extensions despite claiming compatibility; Zilliz pricing structure not publicly disclosed, requires sales contact
- They diverge on capability: YugabyteDB covers PostgreSQL Compatible, Zilliz covers Vector indexing.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which YugabyteDB and Zilliz actually diverge.
| Attribute | YugabyteDB | Zilliz |
|---|---|---|
| Pricing model | Unknown | contact-sales |
| Platforms | Cloud, On-premises, Kubernetes | Cloud, Self-hosted |
| Founded | 2016 | 2017 |
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 YugabyteDB
- PostgreSQL Compatible
- Distributed SQL
- Geo-distribution
- Linear Scalability
- High Availability
- ACID Transactions
- CDC Support
- PostgreSQL
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.
YugabyteDB
- Transaction processingnot Zilliz
- Data storagenot Zilliz
- Application backendnot Zilliz
- Reportingnot Zilliz
- Data analyticsnot Zilliz
Zilliz
- Build retrieval-augmented generation (RAG) systemsnot YugabyteDB
- Implement semantic search over documentsnot YugabyteDB
- Create multimodal search with text and imagesnot YugabyteDB
- Power recommendation engines with vector similaritynot YugabyteDB
- Enable similarity search on user embeddingsnot YugabyteDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
YugabyteDB
- Missing PostgreSQL functions and extensions despite claiming compatibility
- Not a true PostgreSQL replacement requiring schema and query compatibility testing before migration
- Requires careful isolation level management or risk data corruption in production
- Lacks built-in OLAP capabilities, requiring external systems for analytics
- Coupled compute and storage scaling reduces optimization flexibility
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
YugabyteDB
FreeNo published plan breakdown. See the YugabyteDB review.
Zilliz
FreeNo published plan breakdown. See the Zilliz review.
Which should you pick?
Choose YugabyteDB if
- You need postgresql compatible.
- You want to start without paying.
- You work on Cloud, On-premises, Kubernetes.
- You also want distributed sql.
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 YugabyteDB or Zilliz better?
- Neither clearly leads. YugabyteDB 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, YugabyteDB or Zilliz?
- YugabyteDB starts at Free and Zilliz at Free.
- Does YugabyteDB or Zilliz run on more platforms?
- YugabyteDB runs on Cloud, On-premises, Kubernetes. Zilliz runs on Cloud, Self-hosted.
- Can I use YugabyteDB for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is YugabyteDB best used for?
- YugabyteDB is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what Zilliz is typically brought in for.
- What can YugabyteDB do that Zilliz cannot?
- YugabyteDB covers PostgreSQL Compatible, Distributed SQL, Geo-distribution, Linear Scalability. Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support.
Answered from the vendors’ own pages
YugabyteDB: Is YugabyteDB a true drop-in replacement for PostgreSQL?
No, YugabyteDB is PostgreSQL-compatible but not a zero-change drop-in replacement. It requires compatibility testing with queries, stored procedures, and ORM configurations before migration.
SourceZilliz: 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.
SourceYugabyteDB: What isolation levels does YugabyteDB support?
YugabyteDB allows per-query selection between serializable isolation for critical operations and read-committed for analytics. However, this flexibility requires careful management to avoid accidental data corruption.
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.
SourceYugabyteDB: Does YugabyteDB support both SQL and NoSQL workloads?
Yes, YugabyteDB offers YSQL for PostgreSQL-compatible SQL and YCQL for Cassandra-like NoSQL workloads, using the same DocDB storage engine to support both simultaneously.
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.
SourceYugabyteDB: Can YugabyteDB scale compute and storage independently?
No, YugabyteDB couples compute and storage scaling, unlike TiDB which separates them. This means scaling decisions are less flexible and optimization is more complex.
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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- Zilliz vs Cassandra
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- Zilliz vs Amazon Aurora
- Zilliz vs SingleStore
- Zilliz vs Instaclustr
- Zilliz vs Elasticsearch
- Zilliz vs TiDB
- Zilliz vs Dgraph
- Zilliz vs Qdrant
- Zilliz vs Readyset
- Zilliz vs Redpanda
- Zilliz vs RisingWave
- Zilliz vs ScyllaDB
- Zilliz vs Solace PubSub+
- Zilliz vs SQLite
- Zilliz vs Vespa
- Zilliz vs Marqo
- Zilliz vs DataStax
- Zilliz vs Meilisearch
- Zilliz vs Typesense
- Zilliz vs Materialize
- Zilliz vs OpenSearch
- Zilliz vs Apache Solr
- Zilliz vs SurrealDB
- Zilliz vs StarRocks
- Zilliz vs Teradata
- Zilliz vs TIBCO Enterprise Message Service
- Zilliz vs Timeplus
- Zilliz vs turbopuffer
