AddSearch vs Elasticsearch

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AddSearch

8
16
+ 1
0
Elasticsearch

21.3K
15.6K
+ 1
1.6K
Add tool

Elasticsearch vs AddSearch: What are the differences?

Developers describe Elasticsearch as "Open Source, Distributed, RESTful Search Engine". 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). On the other hand, AddSearch is detailed as "The almighty search platform for all your web content". We help your website visitors find what they are looking for. AddSearch is a lightning fast, accurate and customizable site search engine with a Search API. AddSearch works on all devices and is easy to install, customize and tweak.

Elasticsearch and AddSearch can be primarily classified as "Search as a Service" tools.

Some of the features offered by Elasticsearch are:

  • Distributed and Highly Available Search Engine.
  • Multi Tenant with Multi Types.
  • Various set of APIs including RESTful

On the other hand, AddSearch provides the following key features:

  • Manage Search Results - Guide website visitors to the pages that matter most
  • Analyze Search Intent - Your website is your main asset. Uncover what your visitors are searching for
  • AddSearch for All Platforms - We support any platform from legacy systems to state of the art Single Page Applications

Elasticsearch is an open source tool with 45K GitHub stars and 15.2K GitHub forks. Here's a link to Elasticsearch's open source repository on GitHub.

Pros of AddSearch
Pros of Elasticsearch
    Be the first to leave a pro
    • 320
      Powerful api
    • 310
      Great search engine
    • 230
      Open source
    • 213
      Restful
    • 200
      Near real-time search
    • 96
      Free
    • 83
      Search everything
    • 54
      Easy to get started
    • 45
      Analytics
    • 26
      Distributed
    • 6
      Fast search
    • 5
      More than a search engine
    • 3
      Awesome, great tool
    • 3
      Easy to scale
    • 3
      Great docs
    • 2
      Great customer support
    • 2
      Intuitive API
    • 2
      Nosql DB
    • 2
      Great piece of software
    • 2
      Document Store
    • 2
      Fast
    • 2
      Easy setup
    • 2
      Highly Available
    • 1
      Reliable
    • 1
      Not stable
    • 1
      Github
    • 1
      Elaticsearch
    • 1
      Actively developing
    • 1
      Responsive maintainers on GitHub
    • 1
      Ecosystem
    • 1
      Scalability
    • 1
      Potato
    • 0
      Community
    • 0
      Easy to get hot data

    Sign up to add or upvote prosMake informed product decisions

    Cons of AddSearch
    Cons of Elasticsearch
      Be the first to leave a con
      • 6
        Diffecult to get started
      • 5
        Resource hungry
      • 4
        Expensive
      • 3
        Hard to keep stable at large scale

      Sign up to add or upvote consMake informed product decisions

      - No public GitHub repository available -

      What is AddSearch?

      We help your website visitors find what they are looking for. AddSearch is a lightning fast, accurate and customizable site search engine with a Search API. AddSearch works on all devices and is easy to install, customize and tweak.

      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).

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

      What companies use AddSearch?
      What companies use Elasticsearch?

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

      What tools integrate with AddSearch?
      What tools integrate with Elasticsearch?

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

      Blog Posts

      May 21 2019 at 12:20AM
      https://img.stackshare.io/stack/370781/default_a990c1c91c00f9e31ddef32a6738f0f105af38dd.png logo

      Elastic

      ElasticsearchKibanaLogstash+4
      11
      2503
      GitHubPythonReact+42
      46
      38422
      GitHubPythonNode.js+47
      43
      67482
      GitHubGitGoogle Analytics+30
      25
      14220
      JavaScriptGitHubjQuery+26
      18
      4505
      What are some alternatives to AddSearch and Elasticsearch?
      Swiftype
      Swiftype is the easiest way to add great search to your website or mobile application.
      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.
      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.
      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.
      Sphinx
      It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.
      See all alternatives
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