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Azure Cognitive Search vs Manticore Search: What are the differences?
Developers describe Azure Cognitive Search as "AI-powered cloud search service for mobile and web app development". It is the only cloud search service with built-in AI capabilities that enrich all types of information to easily identify and explore relevant content at scale. Formerly known as Azure Search, it uses the same integrated Microsoft natural language stack that Bing and Office have used for more than a decade and AI services across vision, language and speech. Spend more time innovating and less time maintaining a complex cloud search solution. On the other hand, Manticore Search is detailed as "High performance full-text search engine with SQL and JSON support". It is a full-text search engine written in C++ and a fork of Sphinx Search. It's designed to be simple to use, light and fast, while allowing advanced full-text searching. Connectivity is provided via a MySQL compatible protocol or HTTP, making it easy to integrate.
Azure Cognitive Search and Manticore Search can be categorized as "Search as a Service" tools.
Some of the features offered by Azure Cognitive Search are:
- Start, maintain and scale with minimal investment
- Create searchable content using integrated AI
- Customise to meet goals and industry requirements
On the other hand, Manticore Search provides the following key features:
- Full-text searching
- RealTIme indexing
- Facets
Pros of Azure Cognitive Search
- 1111
Pros of Manticore Search
- Easy to scale2
- Free2
- Distributed2
- Easy to get started2
- Real-time inserts2
- Lightweight2
- Open source2
- Low RAM consumption2
- JSON over HTTP2
- MySQL/PostgreSQL/ODBC/xml/csv sync out of the box2
- SQL syntax2