Databricks vs Milvus

Side-by-side comparison to help you choose the best tool.

Databricks

paid

Data & Analytics

4.6 / 5.0

Databricks is the leading data and AI platform built on Apache Spark, providing a unified lakehouse architecture for data engineering, ML, and AI. Its AI features include Mosaic AI for building, training, and fine-tuning LLMs, Unity Catalog for governing AI models, and DBRX - Databricks's own open-source LLM. Used by 9,000+ organisations including Comcast, Shell, and Block for enterprise data and AI.

Best for: Enterprises processing large-scale data who need a unified platform for data engineering, ML training, and LLM fine-tuning on their own data

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Milvus

freemium

Data & Analytics

4.4 / 5.0

Milvus is a cloud-native, open-source vector database built to handle billions of vectors at enterprise scale. Originally developed at Zilliz and donated to the LF AI & Data Foundation, it powers semantic search, recommendation systems, and AI applications at companies like Walmart and Shopee. Milvus supports multiple index types, GPU acceleration, and a distributed architecture - making it the most scalable open-source vector database available.

Best for: Enterprise engineering teams building billion-scale vector search systems for recommendation engines, semantic search, and AI applications

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Feature Comparison

Feature	Databricks	Milvus
Pricing	paid	freemium
Category	Data & Analytics	Data & Analytics
Rating	★★★★½ 4.6	★★★★☆ 4.4
Best For	Enterprises processing large-scale data who need a unified platform for data engineering, ML training, and LLM fine-tuning on their own data	Enterprise engineering teams building billion-scale vector search systems for recommendation engines, semantic search, and AI applications
Views	6	4

Pros & Cons — Databricks

Pros

Best platform for large-scale data + AI together
Mosaic AI enables enterprise LLM fine-tuning
Open lakehouse prevents vendor lock-in

Cons

Expensive for smaller data volumes
Complexity requires specialised engineering expertise

Pros & Cons — Milvus

Pros

Handles the largest vector datasets of any open-source option
GPU acceleration for ultra-fast indexing
Strong enterprise adoption and LF AI foundation backing

Cons

Complex to operate at full distributed scale
Heavier infrastructure requirements than lighter alternatives

Key Features — Databricks

Mosaic AI (LLM building & fine-tuning)
Unity Catalog AI governance
Apache Spark data processing
Delta Lake open format
DBRX open-source LLM

Key Features — Milvus

Billion-scale vector search
Multiple index types (HNSW, IVF, DiskANN)
GPU acceleration support
Distributed cloud-native architecture
Python, Java & Go SDKs

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