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  1. Stackups
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  4. Real Time Data Processing
  5. Amazon Kinesis vs ParseHub

Amazon Kinesis vs ParseHub

OverviewComparisonAlternatives

Overview

Amazon Kinesis
Amazon Kinesis
Stacks797
Followers604
Votes9
ParseHub
ParseHub
Stacks32
Followers92
Votes19

Amazon Kinesis vs ParseHub: What are the differences?

Developers describe Amazon Kinesis as "Store and process terabytes of data each hour from hundreds of thousands of sources". Amazon Kinesis can collect and process hundreds of gigabytes of data per second from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data. On the other hand, ParseHub is detailed as "Turn dynamic websites into APIs". You can extract data from anywhere. ParseHub works with single-page apps, multi-page apps and just about any other modern web technology. ParseHub can handle Javascript, AJAX, cookies, sessions and redirects. You can easily fill in forms, loop through dropdowns, login to websites, click on interactive maps and even deal with infinite scrolling.

Amazon Kinesis can be classified as a tool in the "Real-time Data Processing" category, while ParseHub is grouped under "Web Scraping API".

Some of the features offered by Amazon Kinesis are:

  • Real-time Processing- Amazon Kinesis enables you to collect and analyze information in real-time, allowing you to answer questions about the current state of your data, from inventory levels to stock trade frequencies, rather than having to wait for an out-of-date report.
  • Easy to use- You can create a new stream, set the throughput requirements, and start streaming data quickly and easily. Amazon Kinesis automatically provisions and manages the storage required to reliably and durably collect your data stream.
  • High throughput. Elastic.- Amazon Kinesis seamlessly scales to match the data throughput rate and volume of your data, from megabytes to terabytes per hour. Amazon Kinesis will scale up or down based on your needs.

On the other hand, ParseHub provides the following key features:

  • Works with single-page apps, multi-page apps
  • Uses machine learning for its state-of-the-art relationship engine
  • Instantly shows sample data as you're working

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Detailed Comparison

Amazon Kinesis
Amazon Kinesis
ParseHub
ParseHub

Amazon Kinesis can collect and process hundreds of gigabytes of data per second from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data.

Web Scraping and Data Extraction ParseHub is a free and powerful web scraping tool. With our advanced web scraper, extracting data is as easy as clicking on the data you need. ParseHub lets you turn any website into a spreadsheet or API w

Real-time Processing- Amazon Kinesis enables you to collect and analyze information in real-time, allowing you to answer questions about the current state of your data, from inventory levels to stock trade frequencies, rather than having to wait for an out-of-date report;Easy to use- You can create a new stream, set the throughput requirements, and start streaming data quickly and easily. Amazon Kinesis automatically provisions and manages the storage required to reliably and durably collect your data stream;High throughput. Elastic.- Amazon Kinesis seamlessly scales to match the data throughput rate and volume of your data, from megabytes to terabytes per hour. Amazon Kinesis will scale up or down based on your needs;Integrate with Amazon S3, Amazon Redshift, and Amazon DynamoDB- With Amazon Kinesis, you can reliably collect, process, and transform all of your data in real-time before delivering it to data stores of your choice, where it can be used by existing or new applications. Connectors enable integration with Amazon S3, Amazon Redshift, and Amazon DynamoDB;Build Kinesis Applications- Amazon Kinesis provides developers with client libraries that enable the design and operation of real-time data processing applications. Just add the Amazon Kinesis Client Library to your Java application and it will be notified when new data is available for processing;Low Cost- Amazon Kinesis is cost-efficient for workloads of any scale. You can pay as you go, and you’ll only pay for the resources you use. You can get started by provisioning low throughput streams, and only pay a low hourly rate for the throughput you need
Works with single-page apps, multi-page apps;Uses machine learning for its state-of-the-art relationship engine;Instantly shows sample data as you're working
Statistics
Stacks
797
Stacks
32
Followers
604
Followers
92
Votes
9
Votes
19
Pros & Cons
Pros
  • 9
    Scalable
Cons
  • 3
    Cost
Pros
  • 6
    Great support
  • 5
    Complex websites
  • 5
    Easy setup
  • 3
    Native Desktop App

What are some alternatives to Amazon Kinesis, ParseHub?

import.io

import.io

import.io is a free web-based platform that puts the power of the machine readable web in your hands. Using our tools you can create an API or crawl an entire website in a fraction of the time of traditional methods, no coding required.

Google Cloud Dataflow

Google Cloud Dataflow

Google Cloud Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.

ScrapingAnt

ScrapingAnt

Extract data from websites and turn them to API. We will handle all the rotating proxies and Chrome rendering for you. Many specialists have to handle Javascript rendering, headless browser update and maintenance, proxies diversity and rotation. It is a simple API that does all the above for you.

Octoparse

Octoparse

It is a free client-side Windows web scraping software that turns unstructured or semi-structured data from websites into structured data sets, no coding necessary. Extracted data can be exported as API, CSV, Excel or exported into a database.

Kimono

Kimono

You don't need to write any code or install any software to extract data with Kimono. The easiest way to use Kimono is to add our bookmarklet to your browser's bookmark bar. Then go to the website you want to get data from and click the bookmarklet. Select the data you want and Kimono does the rest. We take care of hosting the APIs that you build with Kimono and running them on the schedule you specify. Use the API output in JSON or as CSV files that you can easily paste into a spreadsheet.

BeautifulSoup

BeautifulSoup

It works with your favorite parser to provide idiomatic ways of navigating, searching, and modifying the parse tree. It commonly saves programmers hours or days of work.

Apify

Apify

Apify is a platform that enables developers to create, customize and run cloud-based programs called actors that can, among other things, be used to extract data from any website using a few lines of JavaScript.

2Captcha

2Captcha

2Captcha provides a pay-as-you-go CAPTCHA solving API for developers and automation teams. The service supports multiple CAPTCHA types including image CAPTCHAs, reCAPTCHA (v2, v3), hCaptcha, GeeTest, FunCaptcha, and Cloudflare Turnstile. The API can be integrated into Python, PHP, Java, JavaScript and other environments to automate CAPTCHA handling in scraping, testing, and browser automation pipelines.

Real-Time Sephora Data API

Real-Time Sephora Data API

Access real-time Sephora.com data with lightning-fast APIs ⚡. Get product info, reviews, pricing, inventory, and store locations — all in one powerful beauty data solution 💄🛍️.

diffora.io

diffora.io

AI-powered web page monitoring with support for HTML and JS-rendered pages. Get instant alerts and readable summaries of what changed.

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