Amazon Elasticsearch Service vs Elasticsearch

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Amazon Elasticsearch Service

319
227
+ 1
23
Elasticsearch

22K
16.2K
+ 1
1.6K
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Amazon Elasticsearch Service vs Elasticsearch: What are the differences?

Developers describe Amazon Elasticsearch Service as "Real-time, distributed search and analytics engine that fits nicely into a cloud environment". . On the other hand, Elasticsearch is detailed 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).

Amazon Elasticsearch Service and Elasticsearch can be categorized as "Search as a Service" tools.

"Easy setup, monitoring and scaling" is the top reason why over 7 developers like Amazon Elasticsearch Service, while over 310 developers mention "Powerful api" as the leading cause for choosing Elasticsearch.

Elasticsearch is an open source tool with 42.4K GitHub stars and 14.2K GitHub forks. Here's a link to Elasticsearch's open source repository on GitHub.

According to the StackShare community, Elasticsearch has a broader approval, being mentioned in 2000 company stacks & 976 developers stacks; compared to Amazon Elasticsearch Service, which is listed in 79 company stacks and 13 developer stacks.

Pros of Amazon Elasticsearch Service
Pros of Elasticsearch
  • 10
    Easy setup, monitoring and scaling
  • 7
    Document-oriented
  • 6
    Kibana
  • 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

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Cons of Amazon Elasticsearch Service
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

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    - No public GitHub repository available -

    What is 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.

    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 Amazon Elasticsearch Service?
    What companies use Elasticsearch?

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    What tools integrate with Amazon Elasticsearch Service?
    What tools integrate with Elasticsearch?

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    Blog Posts

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

    Elastic

    ElasticsearchKibanaLogstash+4
    11
    2562
    GitHubPythonReact+42
    46
    38536
    GitHubPythonNode.js+47
    43
    67690
    GitHubGitGoogle Analytics+30
    25
    14350
    JavaScriptGitHubjQuery+26
    18
    4517
    What are some alternatives to Amazon Elasticsearch Service and Elasticsearch?
    Amazon CloudSearch
    Amazon CloudSearch enables you to search large collections of data such as web pages, document files, forum posts, or product information. With a few clicks in the AWS Management Console, you can create a search domain, upload the data you want to make searchable to Amazon CloudSearch, and the search service automatically provisions the required technology resources and deploys a highly tuned search index.
    Elastic Cloud
    A growing family of Elastic SaaS offerings that make it easy to deploy, operate, and scale Elastic products and solutions in the cloud. From an easy-to-use hosted and managed Elasticsearch experience to powerful, out-of-the-box search solutions.
    ELK
    It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
    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.
    Swiftype
    Swiftype is the easiest way to add great search to your website or mobile application.
    See all alternatives
    Interest over time
    How much does Amazon Elasticsearch Service cost?
    How much does Elasticsearch cost?
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