Algolia vs Amazon CloudSearch vs Elasticsearch

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Algolia
Algolia

664
480
+ 1
689
Amazon CloudSearch
Amazon CloudSearch

53
37
+ 1
18
Elasticsearch
Elasticsearch

8.6K
5.7K
+ 1
1.6K
- No public GitHub repository available -
- No public GitHub repository available -

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.

What is 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.

What is 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).
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    What are some alternatives to Algolia, Amazon CloudSearch, and Elasticsearch?
    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.
    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.
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    Decisions about Algolia, Amazon CloudSearch, and Elasticsearch
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    Interest over time
    Reviews of Algolia, Amazon CloudSearch, and Elasticsearch
    Review ofAlgoliaAlgolia

    Maxime is a big supporter of Product Hunt, recognizing the continual request that I add search to the product from others in the community. Having seen many frustrating search implementations on other sites, I assumed it would be hard to integrate and provide something useful. Algolia proved me wrong (see the results here: http://producthunt.co/search).

    I'm impressed with the speed and amazing support from the Algolia team. The dashboard analytics and management are incredibly useful, providing insight into how people are using the product and ability to act on those learning without changing a line of code. I would highly recommend it.

    Review ofAlgoliaAlgolia

    Having a great search engine is extremely important for our app store. We find that users love to search, not only when they know what they are looking for but also to discover content around different themes.

    In a very rushed period with lots of things to do in parallel, we found that Algolia offered a high quality solution that perfectly solved our problem and we had a first version working great in less than a day.

    We also enjoyed getting their feedbacks and ideas to help us improve our search and we are now using Algolia in our internal tools as well. We strongly recommend them!

    Review ofAlgoliaAlgolia

    We were looking for a better search solution for GrowthHackers.com for a couple months. All the options we looked at were either too complicated to setup, didn't have the features we needed, or were too expensive. Algolia hit the right balance for us. It's super fast and easy to customize, and the documentation and examples for getting started are great. Most importantly though, their support rocks. It's always a pleasure talking with their team.

    Review ofAlgoliaAlgolia

    I'm Antonio, TVShow Time's CEO, a startup that has more than 100k+ active users.

    Before Algolia, we were using Elastic Search that was costing a lot (hosted on 2 big EC2 instances) and with results that weren't that relevant.

    Then we switched to Algolia, in 1 hour. We were blown away by how easy the integration was for such a good relevance in results and high performance.

    Review ofAlgoliaAlgolia

    We tried a lot of services at Socialcam to handle our massive user base. All of them couldn't handle that number of users.

    Algolia handles it without any problem but on top of that, it does it at full speed: we get results back in under a few milliseconds. Last but not least, it does it with error handling, which is great as typos are very frequent on mobile...

    How developers use Algolia, Amazon CloudSearch, and Elasticsearch
    Avatar of imgur
    imgur uses ElasticsearchElasticsearch

    Elasticsearch is the engine that powers search on the site. From a high level perspective, it’s a Lucene wrapper that exposes Lucene’s features via a RESTful API. It handles the distribution of data and simplifies scaling, among other things.

    Given that we are on AWS, we use an AWS cloud plugin for Elasticsearch that makes it easy to work in the cloud. It allows us to add nodes without much hassle. It will take care of figuring out if a new node has joined the cluster, and, if so, Elasticsearch will proceed to move data to that new node. It works the same way when a node goes down. It will remove that node based on the AWS cluster configuration.

    Avatar of Instacart
    Instacart uses ElasticsearchElasticsearch

    The very first version of the search was just a Postgres database query. It wasn’t terribly efficient, and then at some point, we moved over to ElasticSearch, and then since then, Andrew just did a lot of work with it, so ElasticSearch is amazing, but out of the box, it doesn’t come configured with all the nice things that are there, but you spend a lot of time figuring out how to put it all together to add stemming, auto suggestions, all kinds of different things, like even spelling adjustments and tomato/tomatoes, that would return different results, so Andrew did a ton of work to make it really, really nice and build a very simple Ruby gem called SearchKick.

    Avatar of AngeloR
    AngeloR uses ElasticsearchElasticsearch

    We use ElasticSearch for

    • Session Logs
    • Analytics
    • Leaderboards

    We originally self managed the ElasticSearch clusters, but due to our small ops team size we opt to move things to managed AWS services where possible.

    The managed servers, however, do not allow us to manage our own backups and a restore actually requires us to open a support ticket with them. We ended up setting up our own nightly backup since we do per day indexes for the logs/analytics.

    Avatar of Brandon Adams
    Brandon Adams uses ElasticsearchElasticsearch

    Elasticsearch has good tooling and supports a large api that makes it ideal for denormalizing data. It has a simple to use aggregations api that tends to encompass most of what I need a BI tool to do, especially in the early going (when paired with Kibana). It's also handy when you just want to search some text.

    Avatar of Ana Phi Sancho
    Ana Phi Sancho uses ElasticsearchElasticsearch

    Self taught : acquired knowledge or skill on one's own initiative. Open Source Search & Analytics. -time search and analytics engine. Search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.

    Avatar of Packet
    Packet uses AlgoliaAlgolia

    Algolia helps us search across disparate pieces of information in our staff portal, and allows customers to easily jump around the portal between devices, support conversations, and documentation.

    Avatar of kako.pk
    kako.pk uses AlgoliaAlgolia

    This is the bedrock of kako.pk - it not only serves the JSON data, it doubles as a (very fast) web-server if you connect to the client JS widget libraries

    Avatar of Shoes of Prey
    Shoes of Prey uses AlgoliaAlgolia

    We use algolia to power our product search / filtering (https://www.shoesofprey.com/shoes).

    Avatar of DevTube
    DevTube uses AlgoliaAlgolia

    We started with Algolia, but switched to our home-backed full-text search solution. It's serverless, based on Lunr.js

    Avatar of Pharmatolia
    Pharmatolia uses AlgoliaAlgolia

    For detailed searching listing and products posted by customers

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