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Azure Cognitive Search

AI-powered cloud search service for mobile and web app development
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What is Azure Cognitive Search?

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.
Azure Cognitive Search is a tool in the Search as a Service category of a tech stack.

Who uses Azure Cognitive Search?

13 companies reportedly use Azure Cognitive Search in their tech stacks, including Data-Driven Services, DevRain, and FP.

21 developers on StackShare have stated that they use Azure Cognitive Search.

Azure Cognitive Search Integrations

Python, Node.js, Java, Postman, and C# are some of the popular tools that integrate with Azure Cognitive Search. Here's a list of all 6 tools that integrate with Azure Cognitive Search.
Pros of Azure Cognitive Search
Decisions about Azure Cognitive Search

Here are some stack decisions, common use cases and reviews by companies and developers who chose Azure Cognitive Search in their tech stack.

Needs advice
Azure Cognitive SearchAzure Cognitive Search

I have 9TB of documents that need to be indexed. which of the above will suit to handle this much amount of data?

I have client-specific documents. So I would need to create 200 number of indices if 200 clients are there.

what other criteria should I check before choosing Azure Cognitive Search vs Solr?

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Azure Cognitive Search's Features

  • Start, maintain and scale with minimal investment
  • Create searchable content using integrated AI
  • Customise to meet goals and industry requirements

Azure Cognitive Search Alternatives & Comparisons

What are some alternatives to Azure Cognitive Search?
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Azure Search
Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios.
Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
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Azure Cognitive Search's Followers
66 developers follow Azure Cognitive Search to keep up with related blogs and decisions.