Elasticsearch vs PrestaShop

Overview

Elasticsearch

Stacks35.5K

Followers27.1K

Votes1.6K

PrestaShop

Stacks507

Followers200

Votes138

GitHub Stars8.8K

Forks5.0K

Elasticsearch vs PrestaShop: 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); PrestaShop: Free, Open Source eCommerce Solution powering 185,000 active stores worldwide. PrestaShop is written in PHP, is highly customizable, supports all the major payment services, is translated in many languages and localized for many countries, and is fully responsive (both front- and back-office).

Elasticsearch can be classified as a tool in the "Search as a Service" category, while PrestaShop is grouped under "Ecommerce".

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, PrestaShop provides the following key features:

Catalog Management
Product Displays
Site Management

"Powerful api" is the top reason why over 310 developers like Elasticsearch, while over 18 developers mention "Free" as the leading cause for choosing PrestaShop.

Elasticsearch and PrestaShop are both open source tools. It seems that Elasticsearch with 41.9K GitHub stars and 14K forks on GitHub has more adoption than PrestaShop with 3.77K GitHub stars and 3.22K GitHub forks.

According to the StackShare community, Elasticsearch has a broader approval, being mentioned in 1976 company stacks & 937 developers stacks; compared to PrestaShop, which is listed in 12 company stacks and 10 developer stacks.

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Advice on Elasticsearch, PrestaShop

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

André

Nov 20, 2020

Needs adviceon

Elasticsearch

Amazon DynamoDB

Hi, community, I'm planning to build a web service that will perform a text search in a data set off less than 3k well-structured JSON objects containing config data. I'm expecting no more than 20 MB of data. The general traits I need for this search are:

Typo tolerant (fuzzy query), so it has to match the entries even though the query does not match 100% with a word on that JSON
Allow a strict match mode
Perform the search through all the JSON values (it can reach 6 nesting levels)
Ignore all Keys of the JSON; I'm interested only in the values.

The only thing I'm researching at the moment is Elasticsearch, and since the rest of the stack is on AWS the Amazon ElasticSearch is my favorite candidate so far. Although, the only knowledge I have on it was fetched from some articles and Q&A that I read here and there. Is ElasticSearch a good path for this project? I'm also considering Amazon DynamoDB (which I also don't know of), but it does not look to cover the requirements of fuzzy-search and ignore the JSON properties. Thank you in advance for your precious advice!

60.3k views60.3k

Comments

Ted

Computer Science

Dec 19, 2020

Review

I think elasticsearch should be a great fit for that use case. Using the AWS version will make your life easier. With such a small dataset you may also be able to use an in process library for searching and possibly remove the overhead of using a database. I don’t if it fits the bill, but you may also want to look into lucene.

I can tell you that Dynamo DB is definitely not a good fit for your use case. There is no fuzzy matching feature and you would need to have an index for each field you want to search or convert your data into a more searchable format for storing in Dynamo, which is something a full text search tool like elasticsearch is going to do for you.

42.9k views42.9k

Comments

Detailed Comparison

Elasticsearch	PrestaShop
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).	PrestaShop is written in PHP, is highly customizable, supports all the major payment services, is translated in many languages and localized for many countries, and is fully responsive (both front- and back-office).
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	Catalog Management;Product Displays;Site Management;S.E.O;Checkout;Shipping;Payments;Marketing;Client Account;Translations;Security;Localization/Taxes;Analytics and Reporting
Statistics
GitHub Stars -	GitHub Stars 8.8K
GitHub Forks -	GitHub Forks 5.0K
Stacks 35.5K	Stacks 507
Followers 27.1K	Followers 200
Votes 1.6K	Votes 138
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 21 Free 15 Customisable 15 Powerful 14 Easy to understand code 13 Scalable
Integrations
Kibana Beats Logstash	PayPal Stripe Google Analytics Amazon EC2 Mailjet

What are some alternatives to Elasticsearch, PrestaShop?

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.

Magento

Magento Community Edition is perfect if you’re a developer who wants to build your own solution with flexible eCommerce technology. You can modify the core code and add a wide variety of features and functionality.

Shopify

Shopify powers tens of thousands of online retailers including General Electric, Amnesty International, CrossFit, Tesla Motors, Encyclopaedia Britannica, Foo Fighters, GitHub, and more. Our platform allows users to easily and quickly create their own online store without all the technical work involved in developing their own website, or the huge expense of having someone else build it. Shopify lets merchants manage all aspects of their shops: uploading products, changing the design, accepting credit card orders, and viewing their incoming orders and completed transactions.

Spree

The Spree storefront offers a full feature set and is built on common standards, so you don't have to compromise speed to market, efficiency or innovation. The modular platform allows you to easily configure, supplement or replace any functionality you need, so that you can build the exact storefront that you want.

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.

Saleor

Saleor is a rapidly-growing open source e-commerce platform that has served high-volume companies from branches like publishing and apparel since 2012. Based on Python and Django, the latest major update introduces a modular front end powered by a GraphQL API and written with React and TypeScript.

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.

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.

nopCommerce

It is the open-source eCommerce solution. It has everything you need to get started in selling physical and digital goods over the internet.

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, PrestaShop provides the following key features:

Catalog Management
Product Displays
Site Management

"Powerful api" is the top reason why over 310 developers like Elasticsearch, while over 18 developers mention "Free" as the leading cause for choosing PrestaShop.

Elasticsearch vs PrestaShop