Amazon Elasticsearch Service vs Elasticsearch vs Swiftype

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Amazon Elasticsearch Service

377
286
+ 1
24
Elasticsearch

34K
26.5K
+ 1
1.6K
Swiftype

192
96
+ 1
11
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Pros of Amazon Elasticsearch Service
Pros of Elasticsearch
Pros of Swiftype
  • 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
  • 8
    Very easy setup and highly customizable for your search
  • 1
    Easy setup
  • 1
    Analytics
  • 1
    Role devision to develop, design, manage

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Cons of Amazon Elasticsearch Service
Cons of Elasticsearch
Cons of Swiftype
    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
    • 1
      Expensive
    • 1
      API Calls Monitoring/Alerts
    • 1
      Cost Prediction
    • 1
      Customer Support

    Sign up to add or upvote consMake informed product decisions

    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 Swiftype?

    Swiftype is the easiest way to add great search to your website or mobile application.

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

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

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

    Blog Posts

    May 21 2019 at 12:20AM

    Elastic

    ElasticsearchKibanaLogstash+4
    12
    5166
    GitHubPythonReact+42
    49
    40728
    GitHubPythonNode.js+47
    54
    72317
    What are some alternatives to Amazon Elasticsearch Service, Elasticsearch, and Swiftype?
    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.
    OpenSearch
    It is an open source search and analytics engine derived from Elasticsearch 7.10.2, and is currently in an alpha state.
    See all alternatives