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
- 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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