AddSearch vs Elasticsearch

Overview

Elasticsearch

Stacks35.5K

Followers27.1K

Votes1.6K

AddSearch

Stacks8

Followers17

Votes0

Elasticsearch vs AddSearch: What are the differences?

Developers describe Elasticsearch as "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). On the other hand, AddSearch is detailed as "The almighty search platform for all your web content". We help your website visitors find what they are looking for. AddSearch is a lightning fast, accurate and customizable site search engine with a Search API. AddSearch works on all devices and is easy to install, customize and tweak.

Elasticsearch and AddSearch can be primarily classified as "Search as a Service" tools.

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, AddSearch provides the following key features:

Manage Search Results - Guide website visitors to the pages that matter most
Analyze Search Intent - Your website is your main asset. Uncover what your visitors are searching for
AddSearch for All Platforms - We support any platform from legacy systems to state of the art Single Page Applications

Elasticsearch is an open source tool with 45K GitHub stars and 15.2K GitHub forks. Here's a link to Elasticsearch's open source repository on GitHub.

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Advice on Elasticsearch, AddSearch

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!

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Detailed Comparison

Elasticsearch	AddSearch
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).	We help your website visitors find what they are looking for. AddSearch is a lightning fast, accurate and customizable site search engine with a Search API. AddSearch works on all devices and is easy to install, customize and tweak.
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	Manage Search Results - Guide website visitors to the pages that matter most; Analyze Search Intent - Your website is your main asset. Uncover what your visitors are searching for; AddSearch for All Platforms - We support any platform from legacy systems to state of the art Single Page Applications; Federated Search - Bring together all your existing content under one search index; Search in Many Languages - When your users search, the only results displayed are those with the same language as the page they are on; PDF Support - Don't miss out on installation manuals, technical support documents or product specifications!; Highly Customizable Search Design - With simple CSS tweaks, you can customize the look-and-feel of the search box and search results page to align with your brand.; Search API - Create unique result pages, queries for related content, search functionality for mobile apps and more.
Statistics
Stacks 35.5K	Stacks 8
Followers 27.1K	Followers 17
Votes 1.6K	Votes 0
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	No community feedback yet
Integrations
Kibana Beats Logstash	Wix Magento Squarespace Shopify Google Analytics Joomla! WordPress JavaScript Microsoft SharePoint Drupal

What are some alternatives to Elasticsearch, AddSearch?

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.

Sphinx

It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.

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.

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.

MkDocs

It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.

Swiftype

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

MeiliSearch

It is a powerful, fast, open-source, easy to use, and deploy search engine. The search and indexation are fully customizable and handles features like typo-tolerance, filters, and synonyms.

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, AddSearch provides the following key features:

Manage Search Results - Guide website visitors to the pages that matter most
Analyze Search Intent - Your website is your main asset. Uncover what your visitors are searching for
AddSearch for All Platforms - We support any platform from legacy systems to state of the art Single Page Applications

Elasticsearch is an open source tool with 45K GitHub stars and 15.2K GitHub forks. Here's a link to Elasticsearch's open source repository on GitHub.

AddSearch vs Elasticsearch