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?
11 companies reportedly use Azure Cognitive Search in their tech stacks, including Data-Driven Services, DevRain, and FP.
16 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.
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.
onAzure 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?
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?
See all alternatives
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 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.
Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.
Amazon Elasticsearch Service
Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time.