Amazon CloudSearch vs Found Elasticsearch

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Amazon CloudSearch

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Found Elasticsearch

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Amazon CloudSearch vs Found Elasticsearch: What are the differences?

Developers describe Amazon CloudSearch as "Set up, manage, and scale a search solution for your website or application". 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. On the other hand, Found Elasticsearch is detailed as "Hosted 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.

Amazon CloudSearch and Found Elasticsearch belong to "Search as a Service" category of the tech stack.

Some of the features offered by Amazon CloudSearch are:

  • Simple to Configure – You can make your data searchable using the AWS Management Console, API calls, or command line tools. Simply point to a sample set of data, and Amazon CloudSearch automatically proposes a list of index fields and a suggested configuration.
  • Automatic Scaling For Data &amp
  • Traffic – Amazon CloudSearch scales up and down seamlessly as the amount of data or query volume changes.

On the other hand, Found Elasticsearch provides the following key features:

  • Hosted and managed: You get your own fully hosted and managed Elasticsearch cluster. No need to host and maintain your own costly search infrastructure.
  • Reserved Memory and storage: Your clusters get reserved memory and storage. No shared clusters and no arbitrary limits on how many indexes or documents you can store.
  • Scalable and flexible: Start small, grow big. You can scale your cluster as and when needed, without any downtime. There are several Elasticsearch versions to choose from, and upgrading is easier than ever.
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Pros of Amazon CloudSearch
Pros of Found Elasticsearch
  • 10
    Managed
  • 7
    Auto-Scaling
  • 5
    Compound Queries
  • 3
    Easy Setup
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    What is 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.

    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!

    What companies use Amazon CloudSearch?
    What companies use Found Elasticsearch?
    See which teams inside your own company are using Amazon CloudSearch or Found Elasticsearch.
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    What tools integrate with Amazon CloudSearch?
    What tools integrate with Found Elasticsearch?
      No integrations found

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      What are some alternatives to Amazon CloudSearch and Found 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.
      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).
      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.
      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.
      Lucene
      Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
      See all alternatives