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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.
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!
Hi Rana, good question! From my Firebase experience, 3 million records is not too big at all, as long as the cost is within reason for you. With Firebase you will be able to access the data from anywhere, including an android app, and implement fine-grained security with JSON rules. The real-time-ness works perfectly. As a fully managed database, Firebase really takes care of everything. The only thing to watch out for is if you need complex query patterns - Firestore (also in the Firebase family) can be a better fit there.
To answer question 2: the right answer will depend on what's most important to you. Algolia is like Firebase is that it is fully-managed, very easy to set up, and has great SDKs for Android. Algolia is really a full-stack search solution in this case, and it is easy to connect with your Firebase data. Bear in mind that Algolia does cost money, so you'll want to make sure the cost is okay for you, but you will save a lot of engineering time and never have to worry about scale. The search-as-you-type performance with Algolia is flawless, as that is a primary aspect of its design. Elasticsearch can store tons of data and has all the flexibility, is hosted for cheap by many cloud services, and has many users. If you haven't done a lot with search before, the learning curve is higher than Algolia for getting the results ranked properly, and there is another learning curve if you want to do the DevOps part yourself. Both are very good platforms for search, Algolia shines when buliding your app is the most important and you don't want to spend many engineering hours, Elasticsearch shines when you have a lot of data and don't mind learning how to run and optimize it.
Rana - we use Cloud Firestore at our startup. It handles many million records without any issues. It provides you the same set of features that the Firebase Realtime Database provides on top of the indexing and security trims. The only thing to watch out for is to make sure your Cloud Functions have proper exception handling and there are no infinite loop in the code. This will be too costly if not caught quickly.
For search; Algolia is a great option, but cost is a real consideration. Indexing large number of records can be cost prohibitive for most projects. Elasticsearch is a solid alternative, but requires a little additional work to configure and maintain if you want to self-host.
Hope this helps.
Pros of Algolia
- Ultra fast126
- Super easy to implement95
- Modern search engine73
- Excellent support71
- Easy setup, fast and relevant70
- Typos handling46
- Search analytics40
- Distributed Search Network31
- Designed to search records, not pages31
- Multiple datacenters30
- Smart Highlighting10
- Search as you type9
- Multi-attributes8
- Instantsearch.js8
- Super fast, easy to set up6
- Amazing uptime5
- Database search5
- Highly customizable4
- Great documentation4
- Github-awesome-autocomple4
- Realtime4
- Powerful Search3
- Places.js3
- Beautiful UI3
- Ok to use2
- Integrates with just about everything2
- Awesome aanltiycs and typos hnadling2
- Developer-friendly frontend libraries1
- Smooth platform1
- Fast response time1
- Github integration1
- Nooo0
- Fuck0
- Giitera0
- Is it fool0
Pros of Amazon Machine Learning
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Cons of Algolia
- Expensive11