Algolia vs Elasticsearch vs Qbox.io

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Algolia

1.3K
1.1K
+ 1
699
Elasticsearch

34.5K
26.8K
+ 1
1.6K
Qbox.io

7
16
+ 1
0
Manage your open source components, licenses, and vulnerabilities
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Pros of Algolia
Pros of Elasticsearch
Pros of Qbox.io
  • 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
  • 328
    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
    Great docs
  • 4
    Awesome, great tool
  • 3
    Highly Available
  • 3
    Easy to scale
  • 2
    Potato
  • 2
    Document Store
  • 2
    Great customer support
  • 2
    Intuitive API
  • 2
    Nosql DB
  • 2
    Great piece of software
  • 2
    Reliable
  • 2
    Fast
  • 2
    Easy setup
  • 1
    Open
  • 1
    Easy to get hot data
  • 1
    Github
  • 1
    Elaticsearch
  • 1
    Actively developing
  • 1
    Responsive maintainers on GitHub
  • 1
    Ecosystem
  • 1
    Not stable
  • 1
    Scalability
  • 0
    Community
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    Cons of Algolia
    Cons of Elasticsearch
    Cons of Qbox.io
    • 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 Qbox.io?

      Qbox is supported, dedicated, hosted Elasticsearch - the bleeding edge of full-text search and analytics. We provide an intuitive interface to provision, secure, and monitor ES clusters in Amazon EC2 and Rackspace datacenters everywhere.

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

      Jobs that mention Algolia, Elasticsearch, and Qbox.io as a desired skillset
      What companies use Algolia?
      What companies use Elasticsearch?
      What companies use Qbox.io?

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      What tools integrate with Algolia?
      What tools integrate with Elasticsearch?
      What tools integrate with Qbox.io?
        No integrations found

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        Blog Posts

        May 21 2019 at 12:20AM

        Elastic

        ElasticsearchKibanaLogstash+4
        12
        5273
        JavaScriptGitHubNode.js+29
        14
        13617
        GitHubPythonReact+42
        49
        40898
        GitHubPythonNode.js+47
        55
        72725
        What are some alternatives to Algolia, Elasticsearch, and Qbox.io?
        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.
        Klevu
        It is an intelligent site search solution designed to help eCommerce businesses increase onsite sales and improve the customer online shopping experience.
        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