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  1. Stackups
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  4. Search As A Service
  5. Algolia vs Mapbox

Algolia vs Mapbox

OverviewDecisionsComparisonAlternatives

Overview

Algolia
Algolia
Stacks1.4K
Followers1.1K
Votes699
Mapbox
Mapbox
Stacks803
Followers939
Votes113
GitHub Stars1.9K
Forks384

Algolia vs Mapbox: What are the differences?

Algolia: Developer-friendly API and complete set of tools for building search. 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; Mapbox: Design and publish beautiful maps. We make it possible to pin travel spots on Pinterest, find restaurants on Foursquare, and visualize data on GitHub.

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

Some of the features offered by Algolia are:

  • Database search
  • Multi-attributes
  • Search as you type

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

  • Develop mobile and web applications with Mapbox.js, our open-source JavaScript library.
  • Build native applications on iOS with the Mapbox iOS SDK or on iOS and OS X with MBXMapKit.
  • Build native applications for Android. Use Mapbox, OpenStreetMap, and other tile sources in your app, as well as overlays like GeoJSON data and interactive tooltips.

"Ultra fast" is the primary reason why developers consider Algolia over the competitors, whereas "Best mapping service outside of Google Maps" was stated as the key factor in picking Mapbox.

Medium, StackShare, and Product Hunt are some of the popular companies that use Algolia, whereas Mapbox is used by Instacart, OpenGov, and Postmates. Algolia has a broader approval, being mentioned in 258 company stacks & 54 developers stacks; compared to Mapbox, which is listed in 83 company stacks and 28 developer stacks.

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Advice on Algolia, Mapbox

Rana Usman
Rana Usman

Chief Technology Officer at TechAvanza

Jun 4, 2020

Needs adviceonFirebaseFirebaseElasticsearchElasticsearchAlgoliaAlgolia

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
StackShare
StackShare

Apr 4, 2019

Needs advice

From a StackShare Community member: "We're a team of two starting to write a mobile app. The app will heavily rely on maps and this is where my partner and I are not seeing eye-to-eye. I would like to go with an open source solution like OpenStreetMap that is used by Apple & Foursquare. He would like to go with Google Maps since more apps use it and has better support (according to him). Mapbox is also an option but I don’t know much about it."

183k views183k
Comments

Detailed Comparison

Algolia
Algolia
Mapbox
Mapbox

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.

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

Database search;Multi-attributes;Search as you type;Analytics dashboard; Ranking; Mobile; Search in any language;Understand users mistakes;Smart Highlighting;Realtime indexing;Protect your indexes from misuse;Discover realtime faceting;Search objects by location
Develop mobile and web applications with Mapbox.js, our open-source JavaScript library.;Build native applications on iOS with the Mapbox iOS SDK or on iOS and OS X with MBXMapKit.;Build native applications for Android. Use Mapbox, OpenStreetMap, and other tile sources in your app, as well as overlays like GeoJSON data and interactive tooltips.;SSL maps
Statistics
GitHub Stars
-
GitHub Stars
1.9K
GitHub Forks
-
GitHub Forks
384
Stacks
1.4K
Stacks
803
Followers
1.1K
Followers
939
Votes
699
Votes
113
Pros & Cons
Pros
  • 126
    Ultra fast
  • 95
    Super easy to implement
  • 73
    Modern search engine
  • 71
    Excellent support
  • 70
    Easy setup, fast and relevant
Cons
  • 11
    Expensive
Pros
  • 28
    Best mapping service outside of Google Maps
  • 22
    OpenStreetMap
  • 15
    Beautifully vectorable
  • 11
    Fluid user experience
  • 8
    Extensible
Integrations
React
React
Ruby
Ruby
Jekyll
Jekyll
JavaScript
JavaScript
React Native
React Native
Vue.js
Vue.js
WordPress
WordPress
Shopify
Shopify
Docusaurus
Docusaurus
VuePress
VuePress
No integrations available

What are some alternatives to Algolia, Mapbox?

Elasticsearch

Elasticsearch

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).

Google Maps

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.

Solr

Solr

Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.

Leaflet

Leaflet

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.

OpenStreetMap

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

OpenLayers

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

Typesense

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

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

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

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.

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