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Milvus vs Rows

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

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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Rows

freemium
Data & Analytics
4.3 / 5.0

Rows is an AI spreadsheet that connects to live data sources and lets you analyse data using natural language. It combines the familiarity of spreadsheets with AI superpowers.

Best for: Analysts wanting AI-improved spreadsheets with live data
Visit Rows
Feature Comparison
Feature Milvus Rows
Pricing freemium freemium
Category Data & Analytics Data & Analytics
Rating ★★★★☆ 4.4 ★★★★☆ 4.3
Best For Enterprise engineering teams building billion-scale vector search systems for recommendation engines, semantic search, and AI applications Analysts wanting AI-improved spreadsheets with live data
Views 125 107
Detailed Attribute Comparison
Attribute Milvus Rows
Pricing Type freemium freemium
Free Trial No No
API Available No No
Mobile App No No
Rating 4.4 ✓ 4.3
Founded - -
Team Size - -
Deployment - -
Popularity (Views) 125 ✓ 107
Green highlight indicates the stronger value for that attribute.
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
Pros & Cons — Rows
Pros
  • Familiar spreadsheet UI
  • Live data connections
  • AI formula help
Cons
  • Learning curve for integrations
  • Paid for advanced features
Key Features — Milvus
  • Billion-scale vector search
  • Multiple index types (HNSW, IVF, DiskANN)
  • GPU acceleration support
  • Distributed cloud-native architecture
  • Python, Java & Go SDKs
Key Features — Rows
  • AI analyst
  • Live data integrations
  • Natural language formulas
  • Shareable reports
  • 50+ integrations
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