Algolia vs Amazon Machine Learning

Overview

Algolia

Stacks1.4K

Followers1.1K

Votes699

Amazon Machine Learning

Stacks165

Followers246

Votes0

Algolia vs Amazon Machine Learning: 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; Amazon Machine Learning: Visualization tools and wizards that guide you through the process of creating ML models w/o having to learn complex ML algorithms & technology. This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.

Algolia can be classified as a tool in the "Search as a Service" category, while Amazon Machine Learning is grouped under "Machine Learning as a Service".

Some of the features offered by Algolia are:

Database search
Multi-attributes
Search as you type

On the other hand, Amazon Machine Learning provides the following key features:

Easily Create Machine Learning Models
From Models to Predictions in Seconds
Scalable, High Performance Prediction Generation Service

Medium, StackShare, and Product Hunt are some of the popular companies that use Algolia, whereas Amazon Machine Learning is used by Apli, Cymatic Security, and FetchyFox. Algolia has a broader approval, being mentioned in 258 company stacks & 54 developers stacks; compared to Amazon Machine Learning, which is listed in 9 company stacks and 10 developer stacks.

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Advice on Algolia, Amazon Machine Learning

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

Algolia	Amazon Machine Learning
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.	This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
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	Easily Create Machine Learning Models;From Models to Predictions in Seconds;Scalable, High Performance Prediction Generation Service;Low Cost and Efficient
Statistics
Stacks 1.4K	Stacks 165
Followers 1.1K	Followers 246
Votes 699	Votes 0
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	No community feedback yet
Integrations
React Ruby Jekyll JavaScript React Native Vue.js WordPress Shopify Docusaurus VuePress	No integrations available

What are some alternatives to Algolia, Amazon Machine Learning?

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.

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.

NanoNets

Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your 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.

Swiftype

Swiftype is the easiest way to add great search to your website or mobile application.

MeiliSearch

It is a powerful, fast, open-source, easy to use, and deploy search engine. The search and indexation are fully customizable and handles features like typo-tolerance, filters, and synonyms.

Related Comparisons

Some of the features offered by Algolia are:

Database search
Multi-attributes
Search as you type

On the other hand, Amazon Machine Learning provides the following key features:

Easily Create Machine Learning Models
From Models to Predictions in Seconds
Scalable, High Performance Prediction Generation Service

Algolia vs Amazon Machine Learning