Databases · head to head
Xata vs Zilliz
Xata
Databases
Apache 2.0 platform for running many Postgres instances on Kubernetes, with copy-on-write branching and scale-to-zero.
- 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: Xata self-hosting means operating Kubernetes and CloudNativePG, so the Apache 2.0 licence removes the vendor bill but replaces it with a platform team, and a database platform is not something a part-time operator maintains safely.; Zilliz pricing structure not publicly disclosed, requires sales contact
- They diverge on capability: Xata covers Copy-on-write branching, Zilliz covers Vector indexing.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Xata and Zilliz actually diverge.
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 Xata
- Copy-on-write branching
- Scale-to-zero compute
- Compute autoscaling and bin-packing
- High availability with failover
- Point-in-time recovery
- Serverless driver
- pgroll migrations
- pgstream replication
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.
Xata
- Giving every pull request or coding agent its own branch of the production database, with real data volumes rather than a seeded fixturenot Zilliz
- Running managed-Postgres economics in your own cloud account where data residency or compliance rules out a third-party control planenot Zilliz
- Consolidating many small, mostly idle Postgres databases onto shared infrastructure where scale-to-zero and bin-packing recover the idle costnot Zilliz
- Testing a destructive migration against a copy of production without waiting for a full restore or paying for a duplicate of the storagenot Zilliz
Zilliz
- Build retrieval-augmented generation (RAG) systemsnot Xata
- Implement semantic search over documentsnot Xata
- Create multimodal search with text and imagesnot Xata
- Power recommendation engines with vector similaritynot Xata
- Enable similarity search on user embeddingsnot Xata
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Xata
- Self-hosting means operating Kubernetes and CloudNativePG, so the Apache 2.0 licence removes the vendor bill but replaces it with a platform team, and a database platform is not something a part-time operator maintains safely.
- Copy-on-write branches are cheap to create but diverge as they are written to, so a long-lived branch carrying a heavy backfill quietly accumulates real storage and the cost arrives later than the decision that caused it.
- Scale-to-zero means the first connection after an idle period pays a cold start, which is invisible in a busy production database and very visible in a demo, a staging environment or a cron job that runs once an hour.
- The Xata sold before 2025 was a different product, a proprietary API and SDK layered over Postgres, so tutorials, blog posts and SDK examples from that era describe something that no longer exists and existing users had to migrate.
- As a managed service it competes with RDS, Aurora and Cloud SQL, and it is a much smaller company, so procurement, certification coverage and the depth of the support bench behind a 3am corruption incident are all weaker than the incumbent even though the underlying Postgres is the same.
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
Xata
Free- Free TrialFree
- 14 days free
- No credit card required
- Usage-Based$1/per 1000 branches
- 1,000 branches for $1
- Scale-to-zero compute model
- Branches hibernate when idle
Zilliz
FreeNo published plan breakdown. See the Zilliz review.
Which should you pick?
Choose Xata if
- You need copy-on-write branching.
- You want to start without paying.
- You also want scale-to-zero compute.
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 Xata or Zilliz better?
- Neither clearly leads. Xata 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, Xata or Zilliz?
- Xata starts at Free and Zilliz at Free.
- Does Xata or Zilliz run on more platforms?
- Xata runs on Web. Zilliz runs on Cloud, Self-hosted.
- Can I use Xata for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Xata best used for?
- Xata is most often used for giving every pull request or coding agent its own branch of the production database, with real data volumes rather than a seeded fixture, running managed-postgres economics in your own cloud account where data residency or compliance rules out a third-party control plane, consolidating many small, mostly idle postgres databases onto shared infrastructure where scale-to-zero and bin-packing recover the idle cost, testing a destructive migration against a copy of production without waiting for a full restore or paying for a duplicate of the storage. Of those, giving every pull request or coding agent its own branch of the production database, with real data volumes rather than a seeded fixture and running managed-postgres economics in your own cloud account where data residency or compliance rules out a third-party control plane are not what Zilliz is typically brought in for.
- What can Xata do that Zilliz cannot?
- Xata covers Copy-on-write branching, Scale-to-zero compute, Compute autoscaling and bin-packing, High availability with failover. Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support.
Answered from the vendors’ own pages
Xata: Is it real Postgres or a compatible reimplementation?
Real Postgres. It runs upstream Postgres instances on Kubernetes via CloudNativePG, so extensions, the wire protocol and version upgrades behave as they do anywhere else.
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.
SourceXata: Can I self-host the whole thing?
Yes. The platform is Apache 2.0 and designed for self-hosting a large number of Postgres instances on your own Kubernetes. Xata Cloud is the same platform run as a service.
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.
SourceXata: Does branching copy my data?
No. Branches are copy-on-write at the storage layer, so creating one is near-instant regardless of database size and storage is only consumed as the branch diverges from its parent.
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.
SourceXata: Is this the same Xata I used a couple of years ago?
No. The earlier product was a proprietary database API with its own SDK and search layer. The current product is a Postgres platform, and material written for the old one does not apply.
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.
SourceXata: What happens to a branch when the parent changes?
A branch is a point-in-time fork. Later changes on the parent are not propagated, so long-lived branches drift and need to be recreated rather than refreshed if you want current data.
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