What is difference between Azure Cognitive Search and Elastic Search

 

Cognitive search and Elastic search

Azure Cognitive Search :- 

The Azure Cognitive Search service enables search over different types of content by letting you create and manage search indexes. You can import data from a variety of sources, with AI-powered indexing that can infer and extract searchable content from non-text sources. You decide what data is imported into the index, and set up indexers to pull that data into it, or push JSON formatted documents manually.

Azure Cognitive Search also lets you query search indexes. The results contain only your data, which can include text inferred or extracted from images, or new entities and key phrases detection through text analytics. It's a Platform as a Service (PaaS) so Microsoft manages the infrastructure and availability, allowing your organization to benefit without the need to purchase or manage additional hardware resources.

Azure Cognitive Search exists to compliment existing technologies and provides a programmable search engine built on Apache Lucene, an open-source software library. Azure Cognitive Search is a highly available platform offering a 99.9% uptime SLA available for cloud and on-premises assets.

Azure Cognitive Search comes with the following features:

• Data from any source: Azure Cognitive Search accepts data from any source provided in JSON format, with auto crawling support for selected data sources in Azure.
• Full text search and analysis: Azure Cognitive Search offers full text search capabilities supporting both simple query and full Lucene query syntax.
• AI powered search: Azure Cognitive Search has Cognitive AI capabilities built in for image and text analysis from raw content.
• Multi-lingual: Azure Cognitive Search offers linguistic analysis for 56 languages to intelligently handle phonetic matching or language-specific linguistics. Natural language processors available to you in Azure Cognitive Search are the same as those used by Bing and Office.
• Geo-enabled: Azure Cognitive Search supports geo-search filtering based on proximity to a physical location.
• Configurable user experience: Azure Cognitive Search has several features to improve the user experience including autocomplete, autosuggest, pagination, and hit highlighting.

Elastic Search :- 

Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data for lightning fast search, fine‑tuned relevancy, and powerful analytics that scale with ease.

Elasticsearch is the distributed search and analytics engine at the heart of the Elastic Stack. Logstash and Beats facilitate collecting, aggregating, and enriching your data and storing it in Elasticsearch. Kibana enables you to interactively explore, visualize, and share insights into your data and manage and monitor the stack. Elasticsearch is where the indexing, search, and analysis magic happens.

Elasticsearch offers speed and flexibility to handle data in a wide variety of use cases:

• Add a search box to an app or website
• Store and analyze logs, metrics, and security event data
• Use machine learning to automatically model the behavior of your data in real time
• Automate business workflows using Elasticsearch as a storage engine
• Manage, integrate, and analyze spatial information using Elasticsearch as a geographic information system (GIS)
• Store and process genetic data using Elasticsearch as a bioinformatics research tool

Ref:-

doc.microsoft.com

portal.azure.com

elastic.co