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Algolia

Developer-friendly API and complete set of tools for building search
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What is 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.
Algolia is a tool in the Search as a Service category of a tech stack.

Who uses Algolia?

Companies
353 companies reportedly use Algolia in their tech stacks, including medium.com, StackShare, and Product Hunt.

Developers
434 developers on StackShare have stated that they use Algolia.

Algolia Integrations

JavaScript, React, WordPress, Java, and AngularJS are some of the popular tools that integrate with Algolia. Here's a list of all 26 tools that integrate with Algolia.

Why developers like Algolia?

Here’s a list of reasons why companies and developers use Algolia
Private Decisions at about Algolia
Private to your company

Here are some stack decisions, common use cases and reviews by members of with Algolia in their tech stack.

Crowdin
Crowdin
GitHub
GitHub
Phalcon
Phalcon
PhpStorm
PhpStorm
Algolia
Algolia
#Documentation
#Phalcon

Redesigned the Zephir documentation website. This included converting all the documentation to markdown in its own repository. We connected the documentation to Crowdin for our translations/localization service. Our repositories are all on GitHub .

A new application was created to handle the website. The application was developed using nanobox.io locally, with Phalcon and PhpStorm as the editor. We also integrated with Algolia for our search using their docsearch service.

The stack was deployed to our servers and is now live!

Phalcon Zephir #Documentation

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Elasticsearch
Elasticsearch
Algolia
Algolia
#Search

I chose Elasticsearch for my organization's #search stack due to financial and legal regulations but chose Algolia for a hobby e-commerce comparison engine

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React
React
Firebase
Firebase
Algolia
Algolia
Emotion
Emotion

Last week I started a little side project that helps me and my family share recipes. The result is Julienne and I've open sourced it for anyone that's interested. In brief, the stack:

  1. React on the front-end + liberal use of hooks.
  2. Firebase to handle authentication and database persistence. Firebase makes bootstrapping your app so much easier. Auth, especially when combined with react hooks and context, is really powerful.
  3. Firebase functions and Algolia to provide full-text search of the recipes.
  4. Sancho-UI (my own design system) for developing the responsive user interface, and react-spring for providing animations.
  5. Emotion for handling css because I really love using the css prop to style my elements.

I hope the source code can be helpful to some, and would absolutely love contributions!

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Public Decisions about Algolia

Here are some stack decisions, common use cases and reviews by companies and developers who chose Algolia in their tech stack.

Josh Dzielak
Josh Dzielak
Developer Advocate at DeveloperMode · | 19 upvotes · 123K views
atAlgoliaAlgolia
Algolia
Algolia
Discord
Discord
Gitter
Gitter
Discourse
Discourse
Rails
Rails
Ember.js
Ember.js

Shortly after I joined Algolia as a developer advocate, I knew I wanted to establish a place for the community to congregate and share their projects, questions and advice. There are a ton of platforms out there that can be used to host communities, and they tend to fall into two categories - real-time sync (like chat) and async (like forums). Because the community was already large, I felt that a chat platform like Discord or Gitter might be overwhelming and opted for a forum-like solution instead (which would also create content that's searchable from Google).

I looked at paid, closed-source options like AnswerHub and ForumBee and old-school solutions like phpBB and vBulletin, but none seemed to offer the power, flexibility and developer-friendliness of Discourse. Discourse is open source, written in Rails with Ember.js on the front-end. That made me confident I could modify it to meet our exact needs. Discourse's own forum is very active which made me confident I could get help if I needed it.

It took about a month to get Discourse up-and-running and make authentication tied to algolia.com via the SSO plugin. Adding additional plugins for moderation or look-and-feel customization was fairly straightforward, and I even created a plugin to make the forum content searchable with Algolia. To stay on top of answering questions and moderation, we used the Discourse API to publish new messages into our Slack. All-in-all I would say we were happy with Discourse - the only caveat would be that it's very helpful to have technical knowledge as well as Rails knowledge in order to get the most out of it.

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Julien DeFrance
Julien DeFrance
Principal Software Engineer at Tophatter · | 16 upvotes · 1.3M views
atSmartZipSmartZip
Rails
Rails
Rails API
Rails API
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Capistrano
Capistrano
Docker
Docker
Amazon S3
Amazon S3
Amazon RDS
Amazon RDS
MySQL
MySQL
Amazon RDS for Aurora
Amazon RDS for Aurora
Amazon ElastiCache
Amazon ElastiCache
Memcached
Memcached
Amazon CloudFront
Amazon CloudFront
Segment
Segment
Zapier
Zapier
Amazon Redshift
Amazon Redshift
Amazon Quicksight
Amazon Quicksight
Superset
Superset
Elasticsearch
Elasticsearch
Amazon Elasticsearch Service
Amazon Elasticsearch Service
New Relic
New Relic
AWS Lambda
AWS Lambda
Node.js
Node.js
Ruby
Ruby
Amazon DynamoDB
Amazon DynamoDB
Algolia
Algolia

Back in 2014, I was given an opportunity to re-architect SmartZip Analytics platform, and flagship product: SmartTargeting. This is a SaaS software helping real estate professionals keeping up with their prospects and leads in a given neighborhood/territory, finding out (thanks to predictive analytics) who's the most likely to list/sell their home, and running cross-channel marketing automation against them: direct mail, online ads, email... The company also does provide Data APIs to Enterprise customers.

I had inherited years and years of technical debt and I knew things had to change radically. The first enabler to this was to make use of the cloud and go with AWS, so we would stop re-inventing the wheel, and build around managed/scalable services.

For the SaaS product, we kept on working with Rails as this was what my team had the most knowledge in. We've however broken up the monolith and decoupled the front-end application from the backend thanks to the use of Rails API so we'd get independently scalable micro-services from now on.

Our various applications could now be deployed using AWS Elastic Beanstalk so we wouldn't waste any more efforts writing time-consuming Capistrano deployment scripts for instance. Combined with Docker so our application would run within its own container, independently from the underlying host configuration.

Storage-wise, we went with Amazon S3 and ditched any pre-existing local or network storage people used to deal with in our legacy systems. On the database side: Amazon RDS / MySQL initially. Ultimately migrated to Amazon RDS for Aurora / MySQL when it got released. Once again, here you need a managed service your cloud provider handles for you.

Future improvements / technology decisions included:

Caching: Amazon ElastiCache / Memcached CDN: Amazon CloudFront Systems Integration: Segment / Zapier Data-warehousing: Amazon Redshift BI: Amazon Quicksight / Superset Search: Elasticsearch / Amazon Elasticsearch Service / Algolia Monitoring: New Relic

As our usage grows, patterns changed, and/or our business needs evolved, my role as Engineering Manager then Director of Engineering was also to ensure my team kept on learning and innovating, while delivering on business value.

One of these innovations was to get ourselves into Serverless : Adopting AWS Lambda was a big step forward. At the time, only available for Node.js (Not Ruby ) but a great way to handle cost efficiency, unpredictable traffic, sudden bursts of traffic... Ultimately you want the whole chain of services involved in a call to be serverless, and that's when we've started leveraging Amazon DynamoDB on these projects so they'd be fully scalable.

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Tim Specht
Tim Specht
‎Co-Founder and CTO at Dubsmash · | 16 upvotes · 166.1K views
atDubsmashDubsmash
Elasticsearch
Elasticsearch
Algolia
Algolia
Memcached
Memcached
#SearchAsAService

Although we were using Elasticsearch in the beginning to power our in-app search, we moved this part of our processing over to Algolia a couple of months ago; this has proven to be a fantastic choice, letting us build search-related features with more confidence and speed.

Elasticsearch is only used for searching in internal tooling nowadays; hosting and running it reliably has been a task that took up too much time for us in the past and fine-tuning the results to reach a great user-experience was also never an easy task for us. With Algolia we can flexibly change ranking methods on the fly and can instead focus our time on fine-tuning the experience within our app.

Memcached is used in front of most of the API endpoints to cache responses in order to speed up response times and reduce server-costs on our side.

#SearchAsAService

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Crowdin
Crowdin
GitHub
GitHub
Phalcon
Phalcon
PhpStorm
PhpStorm
Algolia
Algolia
#Documentation
#Phalcon

Redesigned the Zephir documentation website. This included converting all the documentation to markdown in its own repository. We connected the documentation to Crowdin for our translations/localization service. Our repositories are all on GitHub .

A new application was created to handle the website. The application was developed using nanobox.io locally, with Phalcon and PhpStorm as the editor. We also integrated with Algolia for our search using their docsearch service.

The stack was deployed to our servers and is now live!

Phalcon Zephir #Documentation

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Joel Lord
Joel Lord
Technical Evangelist at Auth0 · | 8 upvotes · 26.9K views
atAuth0Auth0
Algolia
Algolia
JavaScript
JavaScript
React
React

On Meetupfinder.com, we needed a way to find geographic coordinates for various cities around the world. Algolia Places made it very easy to us to implement this is.

Their tool comes available for a number of JavaScript frameworks. In my case, I used the React component and it easily implemented an autofill text box that would search for all the cities around the world and return me the latitude and longitude for them.

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Go
Go
Firebase
Firebase
Google App Engine
Google App Engine
Ember.js
Ember.js
Algolia
Algolia
Intercom
Intercom

For the backend #Backend We're using Go {json:api}, and Firebase for auth deployed in Google App Engine. Ember.js for the #frontend we have severals apps so we splitted logically with ember engines... using a monorepo to hold the whole frontend project. Using services like Algolia for super performant and complex ecommerce searching experience and Intercom chat

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Algolia's Features

  • 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

Algolia Alternatives & Comparisons

What are some alternatives to Algolia?
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 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.
Swiftype
Swiftype is the easiest way to add great search to your website or mobile application.
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.
Klevu
It is an intelligent site search solution designed to help eCommerce businesses increase onsite sales and improve the customer online shopping experience.
See all alternatives

Algolia's Followers
660 developers follow Algolia to keep up with related blogs and decisions.
Morten Jensen
rwarasaurus9282
MykolaSauliak
Charly Chakhtoura
Fidelis Fidelis
Gary Somerhalder
Joel Rojo
Wambo Simmons
Joseph Gray
Muhammad Eka Wijaya