Machine Learning · head to head
Milvus vs QuestDB

Milvus
Machine Learning
Open-source vector database for scalable similarity search
- From
- Free
- Rated
- -

QuestDB
Databases
Fast open source time-series database for high throughput ingestion
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Milvus vector dimensions are capped at 32,768; QuestDB open-source edition lacks high-availability, distributed architecture, and enterprise security features
- They diverge on capability: Milvus covers Billion-scale vectors, QuestDB covers High Throughput Ingestion.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Milvus and QuestDB 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 Milvus
- Billion-scale vectors
- Multiple index types
- GPU acceleration
- Hybrid search
- Data partitioning
- PyTorch
- TensorFlow
- Hugging Face
Only in QuestDB
- High Throughput Ingestion
- SQL Support
- Time-series Optimization
- SIMD Vectorization
- Column-oriented Storage
- Built-in Web Console
- InfluxDB Line Protocol
- PostgreSQL
Both cover
- Linux support
- Mac support
- Windows support
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Milvus
- Self hosting a vector database for semantic searchnot QuestDB
- Storing and querying embeddings for retrieval augmented generationnot QuestDB
- Similarity search over images, audio or text at scalenot QuestDB
QuestDB
- Time-series analytics ingesting up to 20M rows/second from IoT sensors or financial data feedsnot Milvus
- Real-time dashboarding with 32ms time-to-first-row latency for minute-level analyticsnot Milvus
- Applications requiring multi-tier storage (hot ingest, real-time SQL, cold Parquet archive)not Milvus
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Milvus
- Vector dimensions are capped at 32,768
- A collection is limited to 64 fields, 1,024 partitions and 16 shards
- Only 1 index is allowed per field
- Search returns at most 16,384 vectors as top-k, and nq is capped at 16,384
- Input and output per RPC is capped at 64 MB for insert, search and query
- VARCHAR values are limited to 65,535 characters
- Data loaded into query nodes cannot exceed 90% of available memory
- An instance supports at most 65,536 collections
QuestDB
- Open-source edition lacks high-availability, distributed architecture, and enterprise security features
- Enterprise edition pricing not published; requires contacting sales for custom quote
- Ingestion limit of 20M rows/sec platform-dependent; may not scale to extreme throughput requirements
Pricing, plan by plan
Milvus
Free- Open SourceFree
- Full features
- Self-hosted
- Community support
- Zilliz CloudFree
- Managed service
- Free tier available
QuestDB
FreeNo published plan breakdown. See the QuestDB review.
Which should you pick?
Choose Milvus if
- You need billion-scale vectors.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want multiple index types.
Choose QuestDB if
- You need high throughput ingestion.
- You want to start without paying.
- You work on Docker, Kubernetes, Cloud (AWS, Azure, GCP).
- You also want sql support.
Questions people ask
- Is Milvus or QuestDB better?
- Neither clearly leads. Milvus starts at Free and QuestDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Milvus or QuestDB?
- Milvus starts at Free and QuestDB at Free.
- Does Milvus or QuestDB run on more platforms?
- Milvus runs on Linux, Mac, Windows, Web. QuestDB runs on Docker, Kubernetes, Cloud (AWS, Azure, GCP).
- Can I use Milvus for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Milvus best used for?
- Milvus is most often used for self hosting a vector database for semantic search, storing and querying embeddings for retrieval augmented generation, similarity search over images, audio or text at scale. Of those, self hosting a vector database for semantic search and storing and querying embeddings for retrieval augmented generation are not what QuestDB is typically brought in for.
- What can Milvus do that QuestDB cannot?
- Milvus covers Billion-scale vectors, Multiple index types, GPU acceleration, Hybrid search. QuestDB covers High Throughput Ingestion, SQL Support, Time-series Optimization, SIMD Vectorization. Both handle Linux support, Mac support, Windows support, Web support.
Answered from the vendors’ own pages
Milvus: How much does Milvus cost?
Milvus is open-source and free to use and modify. The self-hosted version has no licensing cost. Zilliz Cloud (the managed SaaS version) does not publish pricing on the website.
SourceQuestDB: How much does QuestDB Enterprise cost?
QuestDB does not publish specific pricing for the Enterprise tier. Customers must contact QuestDB via their enterprise contact form to receive a custom quote.
SourceMilvus: Is there a free or open-source version of Milvus?
Yes, Milvus is fully open-source and available for free. Milvus Lite is a lightweight option for learning and prototyping that can be installed via pip.
SourceQuestDB: Does QuestDB offer a free version?
Yes, QuestDB Open Source is completely free and recommended for evaluation, prototyping, and pilot projects. Enterprise features, high availability, security, and dedicated support require the paid Enterprise tier.
SourceMilvus: Does Milvus offer a managed cloud service?
Yes, Zilliz Cloud is a fully managed Milvus cloud offering with serverless and dedicated cluster options. Pricing must be requested from the company as it is not listed on the public website.
SourceQuestDB: What deployment options does QuestDB offer?
QuestDB offers open source deployment, Enterprise deployment, and Bring Your Own Cloud (BYOC) deployment. Pricing details for BYOC and Enterprise tiers are not published and require direct contact with sales.
SourceRelated pages
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- QuestDB vs Weaviate
- QuestDB vs Ray
- QuestDB vs Fal AI
- QuestDB vs Jupyter
- QuestDB vs Keras
- QuestDB vs LangChain
- QuestDB vs Weights & Biases
- QuestDB vs Alteryx
- QuestDB vs Anaconda
- QuestDB vs Domino Data Lab
- QuestDB vs DVC
- QuestDB vs Semantic Kernel
- QuestDB vs TimescaleDB
- QuestDB vs PostgreSQL
- QuestDB vs Cockroach Labs
- QuestDB vs Amazon Aurora
- QuestDB vs Airtable
- QuestDB vs Firebolt
- QuestDB vs Apache Flink
- QuestDB vs DuckDB
- QuestDB vs OpenSearch
- QuestDB vs ClickHouse
- QuestDB vs NATS
- QuestDB vs Canary Labs
- QuestDB vs Chroma
- QuestDB vs Cloudinary
- QuestDB vs Convex
- QuestDB vs Dgraph
- QuestDB vs Dragonfly
- QuestDB vs Apache Druid
