Elasticsearch vs. Algolia

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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.

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Pros

Why do developers choose Elasticsearch?
Why do you like Elasticsearch?

Why do developers choose Algolia?
Why do you like Algolia?

Cons

What are the cons of using Elasticsearch?
Downsides of Elasticsearch?

What are the cons of using Algolia?
Downsides of Algolia?

Pricing

How much does Elasticsearch cost?
Elasticsearch Pricing
How much does Algolia cost?
Algolia Pricing

Companies

What companies use Elasticsearch?
2160 companies on StackShare use Elasticsearch
What companies use Algolia?
303 companies on StackShare use Algolia

Integrations

What tools integrate with Elasticsearch?
28 tools on StackShare integrate with Elasticsearch
What tools integrate with Algolia?
9 tools on StackShare integrate with Algolia

What are some alternatives to Elasticsearch and Algolia?

  • Amazon Elasticsearch Service - Real-time, distributed search and analytics engine that fits nicely into a cloud environment
  • Swiftype - Powerful and scalable search for any application or website
  • Amazon CloudSearch - Set up, manage, and scale a search solution for your website or application
  • Azure Search - Search-as-a-service for web and mobile app development

See all alternatives to Elasticsearch

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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