Technology · head to head
Postgres vs Zilliz

Zilliz
Databases
Managed vector database and vector lakebase for AI applications
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Postgres each major version is supported for only 5 years after its initial release, after which it is end-of-life; Zilliz pricing structure not publicly disclosed, requires sales contact
- They diverge on capability: Postgres covers ACID compliance, Zilliz covers Vector indexing.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Postgres and Zilliz actually diverge.
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 Postgres
- ACID compliance
- Complex queries
- Foreign keys
- Triggers
- Views
- Stored procedures
- JSON/JSONB support
- Full-text search
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.
Postgres
- Running a general purpose relational database for applicationsnot Zilliz
- Self-hosting an open source SQL database with no licence feenot Zilliz
- Workloads needing extensions, JSON and full text search in one enginenot Zilliz
Zilliz
- Build retrieval-augmented generation (RAG) systemsnot Postgres
- Implement semantic search over documentsnot Postgres
- Create multimodal search with text and imagesnot Postgres
- Power recommendation engines with vector similaritynot Postgres
- Enable similarity search on user embeddingsnot Postgres
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Postgres
- Each major version is supported for only 5 years after its initial release, after which it is end-of-life
- Major version upgrades break on-disk compatibility and require a full dump and reload or the pg_upgrade tool
- New major versions ship about once a year, so staying supported means a disruptive upgrade cycle
- Minor releases contain only frequently-encountered bug fixes, low-risk fixes, security issues and data corruption fixes, so feature gaps are not addressed within a major version
- There is no vendor SLA; commercial support must be bought separately from third party professional services listed by the project
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
Postgres
Free- Community EditionFree
- Full database features
- No limitations
- Community support
Zilliz
FreeNo published plan breakdown. See the Zilliz review.
Which should you pick?
Choose Postgres if
- You need acid compliance.
- You want to start without paying.
- You work on Linux, Windows, Macos, Docker.
- You also want complex queries.
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 Postgres or Zilliz better?
- Neither clearly leads. Postgres 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, Postgres or Zilliz?
- Postgres starts at Free and Zilliz at Free.
- Does Postgres or Zilliz run on more platforms?
- Postgres runs on Linux, Windows, Macos, Docker. Zilliz runs on Cloud, Self-hosted.
- Can I use Postgres for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Postgres best used for?
- Postgres is most often used for running a general purpose relational database for applications, self-hosting an open source sql database with no licence fee, workloads needing extensions, json and full text search in one engine. Of those, running a general purpose relational database for applications and self-hosting an open source sql database with no licence fee are not what Zilliz is typically brought in for.
- What can Postgres do that Zilliz cannot?
- Postgres covers ACID compliance, Complex queries, Foreign keys, Triggers. Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support.
Answered from the vendors’ own pages
Postgres: How much does PostgreSQL cost to use?
PostgreSQL is completely free to download, install, and use. No licensing fees, subscription costs, or per-seat charges apply. The database is open source under the PostgreSQL License. Source: https://www.postgresql.org
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.
SourcePostgres: Are there commercial PostgreSQL support options available?
Official PostgreSQL (the project) is free. Commercial PostgreSQL services such as hosting, professional support, training, and managed database services are offered by third-party vendors, not the PostgreSQL project itself. Source: https://www.postgresql.org
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.
SourcePostgres: Do I need a license to use PostgreSQL commercially?
No. PostgreSQL is open source under the PostgreSQL License, which permits free commercial use without royalties, licensing fees, or support obligations. Source: https://www.postgresql.org
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.
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 Eclipse
- Zilliz vs Excalidraw
- Zilliz vs MongoDB
- Zilliz vs Okta
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- Zilliz vs Coda
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- Zilliz vs JetBrains IntelliJ IDEA
- Zilliz vs LogRocket
- Zilliz vs Neovim
- Zilliz vs Qdrant
- Zilliz vs Vespa
- Zilliz vs Marqo
- Zilliz vs DataStax
- Zilliz vs Elasticsearch
- Zilliz vs Meilisearch
- Zilliz vs Typesense
- Zilliz vs Materialize
- Zilliz vs OpenSearch
- Zilliz vs Apache Solr
- Zilliz vs Readyset
- Zilliz vs SurrealDB
- Zilliz vs StarRocks
- Zilliz vs Teradata
- Zilliz vs TIBCO Enterprise Message Service
- Zilliz vs Timeplus
- Zilliz vs turbopuffer

