Amazon Elasticsearch Service vs Elasticsearch vs Found Elasticsearch

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Amazon Elasticsearch Service

377
286
+ 1
24
Elasticsearch

34K
26.5K
+ 1
1.6K
Found Elasticsearch

11
15
+ 1
0
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Pros of Amazon Elasticsearch Service
Pros of Elasticsearch
Pros of Found Elasticsearch
  • 10
    Easy setup, monitoring and scaling
  • 7
    Kibana
  • 7
    Document-oriented
  • 327
    Powerful api
  • 315
    Great search engine
  • 230
    Open source
  • 214
    Restful
  • 199
    Near real-time search
  • 97
    Free
  • 84
    Search everything
  • 54
    Easy to get started
  • 45
    Analytics
  • 26
    Distributed
  • 6
    Fast search
  • 5
    More than a search engine
  • 3
    Highly Available
  • 3
    Awesome, great tool
  • 3
    Great docs
  • 3
    Easy to scale
  • 2
    Fast
  • 2
    Easy setup
  • 2
    Great customer support
  • 2
    Intuitive API
  • 2
    Great piece of software
  • 2
    Reliable
  • 2
    Potato
  • 2
    Nosql DB
  • 2
    Document Store
  • 1
    Not stable
  • 1
    Scalability
  • 1
    Open
  • 1
    Github
  • 1
    Elaticsearch
  • 1
    Actively developing
  • 1
    Responsive maintainers on GitHub
  • 1
    Ecosystem
  • 1
    Easy to get hot data
  • 0
    Community
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    Cons of Amazon Elasticsearch Service
    Cons of Elasticsearch
    Cons of Found Elasticsearch
      Be the first to leave a con
      • 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

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        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).

        What is Found Elasticsearch?

        Create your own fully managed and hosted Elasticsearch cluster. You get a dedicated cluster with reserved memory, giving you predictable performance. There are no arbitrary limits on how many indexes or documents you can store. Scale your clusters as and when needed, without any downtime.

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

        Jobs that mention Amazon Elasticsearch Service, Elasticsearch, and Found Elasticsearch as a desired skillset
        What companies use Amazon Elasticsearch Service?
        What companies use Elasticsearch?
        What companies use Found Elasticsearch?

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        What tools integrate with Amazon Elasticsearch Service?
        What tools integrate with Elasticsearch?
        What tools integrate with Found Elasticsearch?
          No integrations found

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          Blog Posts

          May 21 2019 at 12:20AM

          Elastic

          ElasticsearchKibanaLogstash+4
          12
          5166
          GitHubPythonReact+42
          49
          40728
          GitHubPythonNode.js+47
          54
          72320
          What are some alternatives to Amazon Elasticsearch Service, Elasticsearch, and Found 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