whichdb
vs

KDB.AI vs Milvus

KDB.AI: KX's vector database for time-aware AI search, with temporal similarity and hybrid retrieval. Milvus: Cloud-native, distributed open-source vector database built for billions of vectors.

key differences

  • Licensing: KDB.AI is proprietary (Proprietary (free and commercial licences)); Milvus is open source (permissive) (Apache License 2.0).
  • Milvus is built for larger datasets (Multi-PB) than KDB.AI (≤ 10 TB).
  • Horizontal scaling is none in KDB.AI and native in Milvus.
  • Only Milvus has secondary indexes, full-text search, json, change data capture, ttl / expiry.
  • Milvus can run embedded in your application process.

choose kdb-ai for

  • +Pattern matching in market and sensor time series
  • +RAG over financial documents with time constraints
  • +Anomaly and outlier detection

best at · Vector search, RAG, Time-series

choose milvus for

  • +Billion-scale semantic and image search
  • +RAG platforms serving many teams
  • +Recommendation and deduplication
  • +Multimodal retrieval over lakehouse data

best at · Vector search, RAG, Search

KDB.AIKX's vector database for time-aware AI search, with temporal similarity and hybrid retrieval.
MilvusCloud-native, distributed open-source vector database built for billions of vectors.
overview
Primary model
Vector
Vector
Also supports
Time-Series
Search Engine, Document
Type
Database engine
Database engine
Status
Active
Active
Developer
KX
LF AI & Data Foundation (developed mainly by Zilliz)
First release
2023
2019
Latest version
–
3.0.4 (Oct 26, 2026)
License
ProprietaryProprietary (free and commercial licences)
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
4.9
45.9
Rank
#393
#35
GitHub stars
–
46.5K
Stack Overflow questions
–
208
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Massive (Multi-PB)
Horizontal scaling
None
Native
Multi-region
None
None
ACID
None
None
Consistency
Strong
Tunable, Strong, Eventual
Schema
Strict
Strict
Architecture
Single node, Client server
Distributed, Shared storage, Embedded, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
✓
Serverless
—
—
Embedded
—
✓
Edge
—
—
Clouds
AWS, Google Cloud, Azure
AWS, Google Cloud, Azure
capabilities
Transactions
—
—
Joins
—
—
Secondary indexes
—
✓
Full-text search
—
✓
Vector search
✓
✓
Geospatial
—
—
JSON
—
✓
Change data capture
—
✓
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
—
✓
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
—
—
Role-based access
—
✓
Time travel
—
—
Branching
—
—
Online schema changes
—
✓
Streaming ingest
—
✓
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
KDB.AI Python API, REST API
Milvus API (boolean filter expressions)
Client languages
Python, q
Python, Java, Go, Node.js, C#, Rust
Best for
Vector search, RAG, Time-series, Tick data
Vector search, RAG, Search
Add more to this comparisonNot sure either fits? Try smart match

KDB.AI vs Milvus: FAQ

What is the difference between KDB.AI and Milvus?

KDB.AI: KX's vector database for time-aware AI search, with temporal similarity and hybrid retrieval. Milvus: Cloud-native, distributed open-source vector database built for billions of vectors. Licensing: KDB.AI is proprietary (Proprietary (free and commercial licences)); Milvus is open source (permissive) (Apache License 2.0). Milvus is built for larger datasets (Multi-PB) than KDB.AI (≤ 10 TB). Horizontal scaling is none in KDB.AI and native in Milvus.

When should I choose KDB.AI over Milvus?

Choose KDB.AI for pattern matching in market and sensor time series; RAG over financial documents with time constraints; and anomaly and outlier detection. Choose Milvus for billion-scale semantic and image search; RAG platforms serving many teams; and recommendation and deduplication.

Is KDB.AI or Milvus more popular?

Milvus ranks #35 on the WhichDB Score (45.9/100) and KDB.AI ranks #393 (4.9/100). Popularity is not fit: check the requirements that matter for your project.

Are KDB.AI and Milvus open source?

No. KDB.AI is proprietary, closed-source software. Yes. Milvus is open source. License: Apache License 2.0.