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Amazon CloudSearch

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Postman

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Amazon CloudSearch vs Postman: What are the differences?

Amazon CloudSearch: 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; Postman: Only complete API development environment. Postman is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

Amazon CloudSearch belongs to "Search as a Service" category of the tech stack, while Postman can be primarily classified under "API Tools".

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, Postman provides the following key features:

  • Compact layout
  • HTTP requests with file upload support
  • Formatted API responses for JSON and XML

"Managed" is the top reason why over 6 developers like Amazon CloudSearch, while over 464 developers mention "Easy to use" as the leading cause for choosing Postman.

Typeform, PedidosYa, and Swat.io are some of the popular companies that use Postman, whereas Amazon CloudSearch is used by Zola, AgoraPulse, and Publitas. Postman has a broader approval, being mentioned in 1752 company stacks & 2232 developers stacks; compared to Amazon CloudSearch, which is listed in 16 company stacks and 6 developer stacks.

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Swagger UISwagger UI

From a StackShare Community member: "I just started working for a start-up and we are in desperate need of better documentation for our API. Currently our API docs is in a README.md file. We are evaluating Postman and Swagger UI. Since there are many options and I was wondering what other StackSharers would recommend?"

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Replies (3)
Jagdeep Singh
Tech Lead at ucreate.it · | 8 upvotes · 396.1K views

I use Postman because of the ease of team-management, using workspaces and teams, runner, collections, environment variables, test-scripts (post execution), variable management (pre and post execution), folders (inside collections, for better management of APIs), newman, easy-ci-integration (and probably a few more things that I am not able to recall right now).

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I use Swagger UI because it's an easy tool for end-consumers to visualize and test our APIs. It focuses on that ! And it's directly embedded and delivered with the APIs. Postman's built-in tools aren't bad, but their main focus isn't the documentation and also, they are hosted outside the project.

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Sadik Ay
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I recommend Postman because it's easy to use with history option. Also, it has very great features like runner, collections, test scripts runners, defining environment variables and simple exporting and importing data.

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Decisions about Amazon CloudSearch and Postman
Stephen Fox
Artificial Intelligence Fellow · | 1 upvote · 349.2K views

Postman supports automation and organization in a way that Insomnia just doesn't. Admittedly, Insomnia makes it slightly easy to query the data that you get back (in a very MongoDB-esque query language) but Postman sets you up to develop the code that you would use in development/testing right in the editor.

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Pros of Amazon CloudSearch
Pros of Postman
  • 12
    Managed
  • 7
    Auto-Scaling
  • 5
    Compound Queries
  • 3
    Easy Setup
  • 490
    Easy to use
  • 369
    Great tool
  • 276
    Makes developing rest api's easy peasy
  • 156
    Easy setup, looks good
  • 144
    The best api workflow out there
  • 53
    It's the best
  • 53
    History feature
  • 44
    Adds real value to my workflow
  • 43
    Great interface that magically predicts your needs
  • 35
    The best in class app
  • 12
    Can save and share script
  • 10
    Fully featured without looking cluttered
  • 8
    Collections
  • 8
    Option to run scrips
  • 8
    Global/Environment Variables
  • 7
    Shareable Collections
  • 7
    Dead simple and useful. Excellent
  • 7
    Dark theme easy on the eyes
  • 6
    Awesome customer support
  • 6
    Great integration with newman
  • 5
    Documentation
  • 5
    Simple
  • 5
    The test script is useful
  • 4
    Saves responses
  • 4
    This has simplified my testing significantly
  • 4
    Makes testing API's as easy as 1,2,3
  • 4
    Easy as pie
  • 3
    API-network
  • 3
    I'd recommend it to everyone who works with apis
  • 3
    Mocking API calls with predefined response
  • 2
    Now supports GraphQL
  • 2
    Postman Runner CI Integration
  • 2
    Easy to setup, test and provides test storage
  • 2
    Continuous integration using newman
  • 2
    Pre-request Script and Test attributes are invaluable
  • 2
    Runner
  • 2
    Graph
  • 1
    <a href="http://fixbit.com/">useful tool</a>

Sign up to add or upvote prosMake informed product decisions

Cons of Amazon CloudSearch
Cons of Postman
    Be the first to leave a con
    • 10
      Stores credentials in HTTP
    • 9
      Bloated features and UI
    • 8
      Cumbersome to switch authentication tokens
    • 7
      Poor GraphQL support
    • 5
      Expensive
    • 3
      Not free after 5 users
    • 3
      Can't prompt for per-request variables
    • 1
      Import swagger
    • 1
      Support websocket
    • 1
      Import curl

    Sign up to add or upvote consMake informed product decisions

    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 Postman?

    It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

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

    What companies use Amazon CloudSearch?
    What companies use Postman?
    Manage your open source components, licenses, and vulnerabilities
    Learn More

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

    What tools integrate with Amazon CloudSearch?
    What tools integrate with Postman?

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

    What are some alternatives to Amazon CloudSearch and Postman?
    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