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  4. Search As A Service
  5. Algolia vs Google Maps

Algolia vs Google Maps

OverviewDecisionsComparisonAlternatives

Overview

Algolia
Algolia
Stacks1.4K
Followers1.1K
Votes699
Google Maps
Google Maps
Stacks42.5K
Followers29.8K
Votes568

Algolia vs Google Maps: What are the differences?

# Introduction
This Markdown code will compare the key differences between Algolia and Google Maps.

1. **Search Functionality**: Algolia is a search engine designed for developers to create fast, relevant, and customizable search experiences, while Google Maps primarily focuses on mapping and location services.
   
2. **Pricing Model**: Algolia offers transparent pricing based on the number of records and operations performed, while Google Maps pricing is based on map loads, geolocation requests, and other usage metrics.

3. **Customization Options**: Algolia provides extensive customization options for search widgets, ranking algorithms, and result sorting, allowing for tailored user experiences, whereas Google Maps offers customization mainly through styling and embedding options.

4. **API Ecosystem**: Algolia has a well-documented API ecosystem with multiple SDKs and plugins for different programming languages and platforms, compared to Google Maps, which offers extensive APIs for mapping, routes, geolocation, and street view services.

5. **Search Algorithms**: Algolia utilizes advanced search algorithms like typo-tolerance, faceting, and geo-search to enhance search relevancy and accuracy, while Google Maps focuses on geospatial algorithms for mapping, routing, and location-based services.

6. **Usage Scope**: Algolia is commonly used for enhancing search functionality on websites, apps, and e-commerce platforms, while Google Maps is predominantly used for displaying maps, location data, and navigation services.

In Summary, Algolia and Google Maps differ in their focus on search functionality, pricing models, customization options, API ecosystems, search algorithms, and usage scope.

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Advice on Algolia, Google Maps

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
Julien
Julien

Principal Software Engineer at Tophatter

Dec 26, 2020

Review

The Amazon Elastic Search service will certainly help you do most of the heavy lifting and you won't have to maintain any of the underlying infrastructure. However, elastic search isn't trivial in nature. Typically, this will mean several days worth of work.

Over time and projects, I've over the years leveraged another solution called Algolia Search. Algolia is a fully managed, search as a service solution, which also has SDKs available for most common languages, will answer your fuzzy search requirements, and also cut down implementation and maintenance costs significantly. You should be able to get a solution up and running within a couple of minutes to an hour.

42.1k views42.1k
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
Google Maps
Google Maps

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.

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.

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
Maps Image APIs;Places API;Web Services;Google Earth API;Maps API Licensing;Google Maps API for Work
Statistics
Stacks
1.4K
Stacks
42.5K
Followers
1.1K
Followers
29.8K
Votes
699
Votes
568
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
  • 253
    Free
  • 136
    Address input through maps api
  • 82
    Sharable Directions
  • 47
    Google Earth
  • 46
    Unique
Cons
  • 5
    Google Attributions and logo
  • 2
    Only map allowed alongside google place autocomplete
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, Google Maps?

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).

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.

Mapbox

Mapbox

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

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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