Elasticsearch vs Leaflet

Overview

Elasticsearch

Stacks35.5K

Followers27.1K

Votes1.6K

Leaflet

Stacks1.5K

Followers1.1K

Votes112

GitHub Stars43.9K

Forks6.0K

Elasticsearch vs Leaflet: What are the differences?

What is 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).

What is Leaflet? JavaScript library for mobile-friendly interactive maps. Leaflet is an open source JavaScript library for mobile-friendly interactive maps. It is developed by Vladimir Agafonkin of MapBox with a team of dedicated contributors. Weighing just about 30 KB of gzipped JS code, it has all the features most developers ever need for online maps.

Elasticsearch belongs to "Search as a Service" category of the tech stack, while Leaflet can be primarily classified under "Mapping APIs".

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, Leaflet provides the following key features:

Tile layers
Drag panning with inertia
Scroll wheel zoom

"Powerful api" is the top reason why over 310 developers like Elasticsearch, while over 22 developers mention "Light weight" as the leading cause for choosing Leaflet.

Elasticsearch and Leaflet are both open source tools. It seems that Elasticsearch with 42.4K GitHub stars and 14.2K forks on GitHub has more adoption than Leaflet with 25.2K GitHub stars and 4.1K GitHub forks.

Uber Technologies, Instacart, and Slack are some of the popular companies that use Elasticsearch, whereas Leaflet is used by Foursquare, NationBuilder, and Arabiaweather Inc.. Elasticsearch has a broader approval, being mentioned in 2000 company stacks & 976 developers stacks; compared to Leaflet, which is listed in 75 company stacks and 36 developer stacks.

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Advice on Elasticsearch, Leaflet

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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Comments

Detailed Comparison

Elasticsearch	Leaflet
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).	Leaflet is an open source JavaScript library for mobile-friendly interactive maps. It is developed by Vladimir Agafonkin of MapBox with a team of dedicated contributors. Weighing just about 30 KB of gzipped JS code, it has all the features most developers ever need for online maps.
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	Tile layers;Drag panning with inertia;Scroll wheel zoom;Multi-touch zoom;Zoom animation;Hardware acceleration on iOS;Smart polyline/polygon rendering
Statistics
GitHub Stars -	GitHub Stars 43.9K
GitHub Forks -	GitHub Forks 6.0K
Stacks 35.5K	Stacks 1.5K
Followers 27.1K	Followers 1.1K
Votes 1.6K	Votes 112
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 34 Light weight 29 Free 12 Evolutive via plugins 11 OpenStreetMap 10 Strong community
Integrations
Kibana Beats Logstash	No integrations available

What are some alternatives to Elasticsearch, Leaflet?

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.

Google Maps

Create rich applications and stunning visualisations of your data, leveraging the comprehensiveness, accuracy, and usability of Google Maps and a modern web platform that scales as you grow.

Mapbox

We make it possible to pin travel spots on Pinterest, find restaurants on Foursquare, and visualize data on GitHub.

OpenStreetMap

OpenStreetMap is built by a community of mappers that contribute and maintain data about roads, trails, cafés, railway stations, and much more, all over the world.

OpenLayers

An opensource javascript library to load, display and render maps from multiple sources on web pages.

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.

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.

ArcGIS

It is a geographic information system for working with maps and geographic information. It is used for creating and using maps, compiling geographic data, analyzing mapped information, sharing and much more.

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, Leaflet provides the following key features:

Tile layers
Drag panning with inertia
Scroll wheel zoom

"Powerful api" is the top reason why over 310 developers like Elasticsearch, while over 22 developers mention "Light weight" as the leading cause for choosing Leaflet.

Elasticsearch vs Leaflet