Elasticsearch vs ParseHub

Overview

Elasticsearch

Stacks35.5K

Followers27.1K

Votes1.6K

ParseHub

Stacks32

Followers92

Votes19

Elasticsearch vs ParseHub: What are the differences?

Elasticsearch: Open Source, Distributed, RESTful Search Engine. 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); ParseHub: 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.

Elasticsearch belongs to "Search as a Service" category of the tech stack, while ParseHub can be primarily classified under "Web Scraping API".

Some of the features offered by Elasticsearch are:

Distributed and Highly Available Search Engine.
Multi Tenant with Multi Types.
Various set of APIs including RESTful

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

Elasticsearch is an open source tool with 42.4K GitHub stars and 14.2K GitHub forks. Here's a link to Elasticsearch's open source repository on GitHub.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on Elasticsearch, ParseHub

Rana Usman

Chief Technology Officer at TechAvanza

Jun 4, 2020

Needs adviceon

Firebase

Elasticsearch

Algolia

Hey everybody! (1) I am developing an android application. I have data of around 3 million record (less than a TB). I want to save that data in the cloud. Which company provides the best cloud database services that would suit my scenario? It should be secured, long term useable, and provide better services. I decided to use Firebase Realtime database. Should I stick with Firebase or are there any other companies that provide a better service?

(2) I have the functionality of searching data in my app. Same data (less than a TB). Which search solution should I use in this case? I found Elasticsearch and Algolia search. It should be secure and fast. If any other company provides better services than these, please feel free to suggest them.

Thank you!

408k views408k

Comments

Detailed Comparison

Elasticsearch	ParseHub
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).	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
Distributed and Highly Available Search Engine;Multi Tenant with Multi Types;Various set of APIs including RESTful;Clients available in many languages including Java, Python, .NET, C#, Groovy, and more;Document oriented;Reliable, Asynchronous Write Behind for long term persistency;(Near) Real Time Search;Built on top of Apache Lucene;Per operation consistency;Inverted indices with finite state transducers for full-text querying;BKD trees for storing numeric and geo data;Column store for analytics;Compatible with Hadoop using the ES-Hadoop connector;Open Source under Apache 2 and Elastic License	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 35.5K	Stacks 32
Followers 27.1K	Followers 92
Votes 1.6K	Votes 19
Pros & Cons
Pros 329 Powerful api 315 Great search engine 231 Open source 214 Restful 200 Near real-time search Cons 7 Resource hungry 6 Diffecult to get started 5 Expensive 4 Hard to keep stable at large scale	Pros 6 Great support 5 Easy setup 5 Complex websites 3 Native Desktop App
Integrations
Kibana Beats Logstash	No integrations available

What are some alternatives to Elasticsearch, ParseHub?

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.

Typesense

It is an open source, typo tolerant search engine that delivers fast and relevant results out-of-the-box. has been built from scratch to offer a delightful, out-of-the-box search experience. From instant search to autosuggest, to faceted search, it has got you covered.

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.

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.

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.

Manticore Search

It is a full-text search engine written in C++ and a fork of Sphinx Search. It's designed to be simple to use, light and fast, while allowing advanced full-text searching. Connectivity is provided via a MySQL compatible protocol or HTTP, making it easy to integrate.

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.

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

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.

Swiftype

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

Related Comparisons

Some of the features offered by Elasticsearch are:

Distributed and Highly Available Search Engine.
Multi Tenant with Multi Types.
Various set of APIs including RESTful

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

Elasticsearch is an open source tool with 42.4K GitHub stars and 14.2K GitHub forks. Here's a link to Elasticsearch's open source repository on GitHub.

Elasticsearch vs ParseHub