Is DuckDB or Zilliz better?

Neither clearly leads. DuckDB 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, DuckDB or Zilliz?

DuckDB starts at Free and Zilliz at Free.

Does DuckDB or Zilliz run on more platforms?

DuckDB runs on Linux, macOS, Windows, WebAssembly. Zilliz runs on Cloud, Self-hosted.

Can I use DuckDB for free?

Both have a free tier, so you can try either at no cost before committing.

What is DuckDB best used for?

DuckDB is most often used for transformation steps in a data pipeline that would otherwise need spark, replaced by sql over parquet in a single process, analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptable, local exploration of files that are too large for a pandas dataframe but far too small to justify a warehouse, continuous integration and testing of analytical sql, where a real engine can run in the test process without provisioning anything. Of those, transformation steps in a data pipeline that would otherwise need spark, replaced by sql over parquet in a single process and analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptable are not what Zilliz is typically brought in for.

What can DuckDB do that Zilliz cannot?

DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support.

Databases · head to head

DuckDB vs Zilliz

DuckDB

Databases

MIT-licensed analytical SQL database that runs inside your process, with no server, no dependencies and one writer at a time.

From: Free
Rated: -

Full review Website

Zilliz

Databases

Managed vector database and vector lakebase for AI applications

From: Free
Rated: -

Full review Website

The short version

Each has a real cost: DuckDB a database file accepts one read-write process at a time; other processes must open it read-only and will not see subsequent writes, so DuckDB cannot be the shared database behind several services.; Zilliz pricing structure not publicly disclosed, requires sales contact
They diverge on capability: DuckDB covers In-process execution, Zilliz covers Vector indexing.
Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and Zilliz actually diverge.

Attributes where DuckDB and Zilliz differ
Attribute	DuckDB	Zilliz
Pricing model	open-source	contact-sales
Platforms	Linux, macOS, Windows, WebAssembly	Cloud, Self-hosted
Founded	2019	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 DuckDB

In-process execution
Vectorised columnar engine
Direct file querying
Zero dependencies
Larger-than-memory queries
MIT licence
Postgres-flavoured SQL
Extension ecosystem

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.

DuckDB

Transformation steps in a data pipeline that would otherwise need Spark, replaced by SQL over Parquet in a single processnot Zilliz
Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot Zilliz
Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot Zilliz
Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot Zilliz

Zilliz

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

Where each one falls short

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

DuckDB

A database file accepts one read-write process at a time; other processes must open it read-only and will not see subsequent writes, so DuckDB cannot be the shared database behind several services.
There is no network protocol, authentication or user management, so exposing it to remote clients means writing and securing your own service around it.
It is built for scans and aggregations, not for many small transactions, so a workload of high-frequency single-row inserts and updates performs badly compared with SQLite or Postgres.
Storage files are backwards compatible but not forwards compatible, so a file written by a newer version cannot be read by an older one and every consumer of a shared file must be upgraded together.
Query memory settings matter: some operations still need to hold significant state, so an under-configured memory limit turns a large join or a high-cardinality aggregation into a spill-heavy query or an out-of-memory failure rather than a slow success.

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

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Zilliz

Free

No published plan breakdown. See the Zilliz review.

Which should you pick?

Choose DuckDB if

You need in-process execution.
You want to start without paying.
You work on Linux, macOS, Windows, WebAssembly.
You also want vectorised columnar engine.

DuckDB review

Choose Zilliz if

You need vector indexing.
You want to start without paying.
You work on Cloud, Self-hosted.
You also want distributed architecture.

Zilliz review

Questions people ask

Is DuckDB or Zilliz better?: Neither clearly leads. DuckDB 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, DuckDB or Zilliz?: DuckDB starts at Free and Zilliz at Free.
Does DuckDB or Zilliz run on more platforms?: DuckDB runs on Linux, macOS, Windows, WebAssembly. Zilliz runs on Cloud, Self-hosted.
Can I use DuckDB for free?: Both have a free tier, so you can try either at no cost before committing.
What is DuckDB best used for?: DuckDB is most often used for transformation steps in a data pipeline that would otherwise need spark, replaced by sql over parquet in a single process, analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptable, local exploration of files that are too large for a pandas dataframe but far too small to justify a warehouse, continuous integration and testing of analytical sql, where a real engine can run in the test process without provisioning anything. Of those, transformation steps in a data pipeline that would otherwise need spark, replaced by sql over parquet in a single process and analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptable are not what Zilliz is typically brought in for.
What can DuckDB do that Zilliz cannot?: DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support.

Answered from the vendors’ own pages

DuckDB: Can multiple applications share one DuckDB database?

Not for writing. One process holds the database read-write; others may attach read-only and will not see later writes. Shared multi-writer access needs a different database or a table format with a catalogue.

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

DuckDB: Is it a replacement for a data warehouse?

For single-node analytical workloads up to a few hundred gigabytes it very often is. It is not a replacement when many concurrent users need a shared, governed, always-on 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.

Source

DuckDB: Do I have to load data into it?

No. It queries Parquet, CSV, JSON and Arrow in place, including on object storage. Its own storage format is optional and mainly useful when you want indexes, constraints and faster repeated access.

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

DuckDB: What is MotherDuck's relationship to it?

MotherDuck is a separate company offering a managed and hybrid service built on the DuckDB engine. DuckDB itself remains MIT-licensed and independent of it, with the IP held by the DuckDB Foundation.

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

DuckDB: Is it suitable for OLTP?

No. It is designed for analytical scans. For transactional workloads with frequent small writes, SQLite or Postgres is the right tool.

DuckDB vs Zilliz

DuckDB

Zilliz

The short version

Where they differ

What each one covers

Only in DuckDB

Only in Zilliz

What people use each for

DuckDB

Zilliz

Where each one falls short

DuckDB

Zilliz

Pricing, plan by plan

DuckDB

Zilliz

Which should you pick?

Choose DuckDB if

Choose Zilliz if

Questions people ask

Answered from the vendors’ own pages

Related pages

More on DuckDB

More on Zilliz

Keep looking

Other head to heads