Elasticsearch vs. Algolia vs. Azure Search

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Elasticsearch

Algolia

Azure Search

Favorites

296

Favorites

163

Favorites

4

Hacker News, Reddit, Stack Overflow Stats

  • 725
  • 108
  • 34K
  • 1.38K
  • 1.28K
  • 861
  • -
  • 12
  • 628

GitHub Stats

No public GitHub repository stats available
No public GitHub repository stats available

Description

What is 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).

What is 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.

What is 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.

Pros about this tool

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Why do you like Elasticsearch?

Pros
Why do you like Algolia?

Pros
Why do you like Azure Search?

Cons about this tool

Cons
No Cons submitted yet for Elasticsearch
Cons
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Pricing

Elasticsearch Pricing Algolia Pricing

Companies

1553 Companies Using Elasticsearch
229 Companies Using Algolia
6 Companies Using Azure Search

Integrations

Elasticsearch Integrations
Algolia Integrations
Azure Search Integrations

Latest News

Resizing Elasticsearch shards for fun and profit
How to enable SAML authentication in Kibana and Elas...
Brewing in Beats: Rename Filebeat prospectors to inputs
Travis encrypted variables and external contributions
Introducing Query Suggestions: making autocomplete s...
Handling natural languages in search


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