Databases · head to head
DuckDB vs Zilliz

Zilliz
Databases
Managed vector database and vector lakebase for AI applications
- From
- Free
- Rated
- -
The short version
- Each has a real cost: DuckDB client-server setup remains in beta and not recommended for production distributed scenarios; Zilliz pricing structure not publicly disclosed, requires sales contact
- They diverge on capability: DuckDB covers In-process Execution, Zilliz covers Vector indexing.
Where they differ
Only the attributes on which DuckDB 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 DuckDB
- In-process Execution
- Columnar Storage
- Vectorized Execution
- Rich SQL Support
- Parquet Support
- CSV/JSON Import
- Zero Dependencies
- Python
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
- Analytics and data warehousingnot Zilliz
- OLAP queries and data explorationnot Zilliz
- Data science and machine learning workflowsnot Zilliz
- Multi-format data ingestion and processingnot 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
- Client-server setup remains in beta and not recommended for production distributed scenarios
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
FreeNo published plan breakdown. See the DuckDB review.
Zilliz
FreeNo 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 columnar storage.
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 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 analytics and data warehousing, olap queries and data exploration, data science and machine learning workflows, multi-format data ingestion and processing. Of those, analytics and data warehousing and olap queries and data exploration are not what Zilliz is typically brought in for.
- What can DuckDB do that Zilliz cannot?
- DuckDB covers In-process Execution, Columnar Storage, Vectorized Execution, Rich SQL Support. Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support.
Answered from the vendors’ own pages
DuckDB: Is DuckDB free to use?
Yes, DuckDB is completely free. There are no subscription tiers, user limits, or paid plans. The software has zero licensing costs.
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.
SourceDuckDB: What license is DuckDB distributed under?
DuckDB is open source under the MIT License, governed by the independent DuckDB Foundation. The MIT License permits commercial use, modification, and distribution with minimal restrictions.
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.
SourceDuckDB: Can I use DuckDB in commercial applications?
Yes, the MIT License allows commercial use without restrictions or requirements to publish proprietary code. You can deploy DuckDB anywhere from edge devices to high-core servers.
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.
SourceDuckDB: Are there any limitations on how many instances I can run?
No, there are no user limits, usage limits, or instance restrictions. You have unlimited access to all DuckDB features.
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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