Azure Cognitive Search vs Found Elasticsearch

Need advice about which tool to choose?Ask the StackShare community!

Azure Cognitive Search

26
49
+ 1
0
Found Elasticsearch

11
14
+ 1
0
Add tool

Found Elasticsearch vs Azure Cognitive Search: What are the differences?

What is Found Elasticsearch? Hosted Elasticsearch. Create your own fully managed and hosted Elasticsearch cluster. You get a dedicated cluster with reserved memory, giving you predictable performance. There are no arbitrary limits on how many indexes or documents you can store. Scale your clusters as and when needed, without any downtime.

What is Azure Cognitive Search? 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.

Found Elasticsearch and Azure Cognitive Search can be categorized as "Search as a Service" tools.

Some of the features offered by Found Elasticsearch are:

  • Hosted and managed: You get your own fully hosted and managed Elasticsearch cluster. No need to host and maintain your own costly search infrastructure.
  • Reserved Memory and storage: Your clusters get reserved memory and storage. No shared clusters and no arbitrary limits on how many indexes or documents you can store.
  • Scalable and flexible: Start small, grow big. You can scale your cluster as and when needed, without any downtime. There are several Elasticsearch versions to choose from, and upgrading is easier than ever.

On the other hand, Azure Cognitive Search provides the following key features:

  • Start, maintain and scale with minimal investment
  • Create searchable content using integrated AI
  • Customise to meet goals and industry requirements
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More

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.

What is Found Elasticsearch?

Create your own fully managed and hosted Elasticsearch cluster. You get a dedicated cluster with reserved memory, giving you predictable performance. There are no arbitrary limits on how many indexes or documents you can store. Scale your clusters as and when needed, without any downtime.

Need advice about which tool to choose?Ask the StackShare community!

What companies use Azure Cognitive Search?
What companies use Found Elasticsearch?
See which teams inside your own company are using Azure Cognitive Search or Found Elasticsearch.
Sign up for StackShare EnterpriseLearn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Azure Cognitive Search?
What tools integrate with Found Elasticsearch?
    No integrations found

    Sign up to get full access to all the tool integrationsMake informed product decisions

    Blog Posts

    DockerSlackAmazon EC2+17
    18
    5770
    What are some alternatives to Azure Cognitive Search and Found Elasticsearch?
    Elasticsearch
    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
    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.
    Algolia
    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.
    See all alternatives