Algolia vs Elasticsearch vs Klevu

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Algolia

1.3K
1.1K
+ 1
699
Elasticsearch

34.7K
27K
+ 1
1.6K
Klevu

2
15
+ 1
0
Manage your open source components, licenses, and vulnerabilities
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Pros of Algolia
Pros of Elasticsearch
Pros of Klevu
  • 126
    Ultra fast
  • 95
    Super easy to implement
  • 73
    Modern search engine
  • 71
    Excellent support
  • 70
    Easy setup, fast and relevant
  • 46
    Typos handling
  • 40
    Search analytics
  • 31
    Distributed Search Network
  • 31
    Designed to search records, not pages
  • 30
    Multiple datacenters
  • 10
    Smart Highlighting
  • 9
    Search as you type
  • 8
    Multi-attributes
  • 8
    Instantsearch.js
  • 6
    Super fast, easy to set up
  • 5
    Amazing uptime
  • 5
    Database search
  • 4
    Highly customizable
  • 4
    Great documentation
  • 4
    Github-awesome-autocomple
  • 4
    Realtime
  • 3
    Powerful Search
  • 3
    Places.js
  • 3
    Beautiful UI
  • 2
    Ok to use
  • 2
    Integrates with just about everything
  • 2
    Awesome aanltiycs and typos hnadling
  • 1
    Developer-friendly frontend libraries
  • 1
    Smooth platform
  • 1
    Fast response time
  • 1
    Github integration
  • 0
    Nooo
  • 0
    Fuck
  • 0
    Giitera
  • 0
    Is it fool
  • 329
    Powerful api
  • 315
    Great search engine
  • 231
    Open source
  • 214
    Restful
  • 200
    Near real-time search
  • 98
    Free
  • 85
    Search everything
  • 54
    Easy to get started
  • 45
    Analytics
  • 26
    Distributed
  • 6
    Fast search
  • 5
    More than a search engine
  • 4
    Awesome, great tool
  • 4
    Great docs
  • 3
    Highly Available
  • 3
    Easy to scale
  • 2
    Nosql DB
  • 2
    Document Store
  • 2
    Great customer support
  • 2
    Intuitive API
  • 2
    Reliable
  • 2
    Potato
  • 2
    Fast
  • 2
    Easy setup
  • 2
    Great piece of software
  • 1
    Open
  • 1
    Scalability
  • 1
    Not stable
  • 1
    Easy to get hot data
  • 1
    Github
  • 1
    Elaticsearch
  • 1
    Actively developing
  • 1
    Responsive maintainers on GitHub
  • 1
    Ecosystem
  • 0
    Community
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    Cons of Algolia
    Cons of Elasticsearch
    Cons of Klevu
    • 11
      Expensive
    • 7
      Resource hungry
    • 6
      Diffecult to get started
    • 5
      Expensive
    • 4
      Hard to keep stable at large scale
      Be the first to leave a con

      Sign up to add or upvote consMake informed product decisions

      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 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 Klevu?

      It is an intelligent site search solution designed to help eCommerce businesses increase onsite sales and improve the customer online shopping experience.

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      Jobs that mention Algolia, Elasticsearch, and Klevu as a desired skillset
      What companies use Algolia?
      What companies use Elasticsearch?
      What companies use Klevu?

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      What tools integrate with Algolia?
      What tools integrate with Elasticsearch?
      What tools integrate with Klevu?
        No integrations found

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        Blog Posts

        May 21 2019 at 12:20AM

        Elastic

        ElasticsearchKibanaLogstash+4
        12
        5338
        JavaScriptGitHubNode.js+29
        14
        13687
        GitHubPythonReact+42
        49
        41038
        GitHubPythonNode.js+47
        55
        72932
        What are some alternatives to Algolia, Elasticsearch, and Klevu?
        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.
        Swiftype
        Swiftype is the easiest way to add great search to your website or mobile application.
        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.
        Postman
        It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
        Postman
        It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
        See all alternatives