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  4. Search As A Service
  5. Amazon CloudSearch vs Postman

Amazon CloudSearch vs Postman

OverviewDecisionsComparisonAlternatives

Overview

Amazon CloudSearch
Amazon CloudSearch
Stacks130
Followers152
Votes27
Postman
Postman
Stacks96.1K
Followers82.5K
Votes1.8K
Forks0

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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Advice on Amazon CloudSearch, Postman

Jagdeep
Jagdeep

Tech Lead at Founder and Lightning

May 6, 2019

ReviewonPostmanPostman

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).

411k views411k
Comments
StackShare
StackShare

May 1, 2019

Needs advice

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?"

382k views382k
Comments
Stephen
Stephen

Artificial Intelligence Fellow

Feb 4, 2020

Decided

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.

361k views361k
Comments

Detailed Comparison

Amazon CloudSearch
Amazon CloudSearch
Postman
Postman

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.

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

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 & Traffic – Amazon CloudSearch scales up and down seamlessly as the amount of data or query volume changes.;Low Latency, High Throughput – Amazon CloudSearch always stores your index in RAM to ensure low latency and high throughput performance even at large scale. Amazon CloudSearch was created from the same A9 technology that powers search on Amazon.com.;Rich Search Features – Amazon CloudSearch indexes and searches both structured data and plain text. It includes most search features that developers have come to expect from a search engine, such as faceted search, free text search, Boolean search, customizable relevance ranking, query time rank expressions, field weighting, and sorting of results using any field. Amazon CloudSearch also provides near real-time indexing of document updates.;Secure – Amazon CloudSearch uses strong cryptographic methods to authenticate users and prevent unauthorized control of your domains. Amazon CloudSearch supports HTTPS and includes web service interfaces to configure firewall settings that control network access to your domain.
Compact layout;HTTP requests with file upload support;Formatted API responses for JSON and XML;Image previews;Request history;Basic Auth, OAuth 1.0, OAuth 2.0, and other common auth helpers;Autocomplete for URL and header values;Key/value editors for adding parameters or header values. Works for URL parameters too.;Use environment variables to easily shift between settings. Great for testing production, staging or local setups.;Keyboard shortcuts to maximize your productivity;Automatically generated web documentation;Mock servers hosted on Postman’s cloud;API monitoring run from Postman cloud
Statistics
GitHub Forks
-
GitHub Forks
0
Stacks
130
Stacks
96.1K
Followers
152
Followers
82.5K
Votes
27
Votes
1.8K
Pros & Cons
Pros
  • 12
    Managed
  • 7
    Auto-Scaling
  • 5
    Compound Queries
  • 3
    Easy Setup
Pros
  • 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
Cons
  • 10
    Stores credentials in HTTP
  • 9
    Bloated features and UI
  • 8
    Cumbersome to switch authentication tokens
  • 7
    Poor GraphQL support
  • 5
    Expensive
Integrations
No integrations available
HipChat
HipChat
Keen
Keen
Slack
Slack
Dropbox
Dropbox
Datadog
Datadog
PagerDuty
PagerDuty
Bigpanda
Bigpanda
Microsoft Teams
Microsoft Teams
Newman
Newman
VictorOps
VictorOps

What are some alternatives to Amazon CloudSearch, Postman?

Elasticsearch

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).

Algolia

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.

Swagger UI

Swagger UI

Swagger UI is a dependency-free collection of HTML, Javascript, and CSS assets that dynamically generate beautiful documentation and sandbox from a Swagger-compliant API

Paw

Paw

Paw is a full-featured and beautifully designed Mac app that makes interaction with REST services delightful. Either you are an API maker or consumer, Paw helps you build HTTP requests, inspect the server's response and even generate client code.

Apiary

Apiary

It takes more than a simple HTML page to thrill your API users. The right tools take weeks of development. Weeks that apiary.io saves.

Karate DSL

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

ReadMe.io

ReadMe.io

It is an easy-to-use tool to help you build out documentation! Each documentation site that you publish is a project where there is space for documentation, interactive API reference guides, a changelog, and much more.

Appwrite

Appwrite

Appwrite's open-source platform lets you add Auth, DBs, Functions and Storage to your product and build any application at any scale, own your data, and use your preferred coding languages and tools.

Runscope

Runscope

Keep tabs on all aspects of your API's performance with uptime monitoring, integration testing, logging and real-time monitoring.

Insomnia REST Client

Insomnia REST Client

Insomnia is a powerful REST API Client with cookie management, environment variables, code generation, and authentication for Mac, Window, and Linux.

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