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  5. Azure Search vs Google Maps

Azure Search vs Google Maps

OverviewDecisionsComparisonAlternatives

Overview

Azure Search
Azure Search
Stacks84
Followers224
Votes16
Google Maps
Google Maps
Stacks42.5K
Followers29.8K
Votes568

Azure Search vs Google Maps: What are the differences?

Introduction

Welcome to this comparison between Azure Search and Google Maps. In this article, we will explore the key differences between these two popular services.

  1. Pricing Model: One key difference between Azure Search and Google Maps is their pricing models. Azure Search offers a usage-based pricing model, where you pay based on the number of document executions and the data storage used. On the other hand, Google Maps pricing is based on monthly active users (MAUs) and the usage of additional features like routes, geocoding, and places.

  2. Primary Functionality: Azure Search is primarily designed as a search service, allowing developers to easily incorporate search functionality into their applications. It provides features like full-text search, filtering, sorting, and faceting. On the other hand, Google Maps focuses on providing mapping and location-based services, including displaying maps, geocoding addresses, calculating routes, and displaying points of interest.

  3. APIs and SDKs: Azure Search offers rich APIs and SDKs for developing applications. It provides .NET, Java, Node.js, Python, and other language-specific SDKs, making it easier for developers to integrate search capabilities into their applications. Google Maps also provides APIs and SDKs, but is more focused on providing a comprehensive set of mapping and location-based services.

  4. Data Sources: Azure Search allows you to index and search data from a wide range of sources, including Azure Blob Storage, Azure SQL Database, Azure Cosmos DB, and more. It provides connectors for popular sources and flexible options for custom data ingestion. Google Maps, on the other hand, primarily relies on its own data sources and does not provide extensive support for indexing and searching external data.

  5. Integration with Other Services: Azure Search is deeply integrated with other Azure services, such as Azure Functions, Logic Apps, and Event Grid. This allows for seamless integration with other parts of your application ecosystem. Google Maps also offers integration with other Google services, but the level of integration may be more limited compared to Azure Search.

  6. Customization and Branding: Azure Search provides options for customizing the search experience by defining scoring profiles, filters, and faceting options. It also allows you to apply your own branding to the search interface. On the other hand, Google Maps provides limited options for customization, with most of the focus on providing a consistent and familiar user experience.

Summary

In summary, Azure Search and Google Maps differ in their pricing models, primary functionality, APIs and SDKs, data sources, integration with other services, and customization options. These differences make them suitable for different use cases and requirements.

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Advice on Azure Search, Google Maps

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."

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Detailed Comparison

Azure Search
Azure Search
Google Maps
Google Maps

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.

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.

Powerful, reliable performance;Easily tune search indices to meet business goals;Scale out simply;Enable sophisticated search functionality;Get up and running quickly;Simplify search index management
Maps Image APIs;Places API;Web Services;Google Earth API;Maps API Licensing;Google Maps API for Work
Statistics
Stacks
84
Stacks
42.5K
Followers
224
Followers
29.8K
Votes
16
Votes
568
Pros & Cons
Pros
  • 4
    Easy to set up
  • 3
    Auto-Scaling
  • 3
    Managed
  • 2
    Easy Setup
  • 2
    More languages
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
Microsoft Azure
Microsoft Azure
No integrations available

What are some alternatives to Azure Search, 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).

Algolia

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.

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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