Amazon Machine Learning vs Swiftype: What are the differences?
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; Swiftype: Powerful and scalable search for any application or website. Swiftype is the easiest way to add great search to your website or mobile application.
Amazon Machine Learning can be classified as a tool in the "Machine Learning as a Service" category, while Swiftype is grouped under "Search as a Service".
Some of the features offered by Amazon Machine Learning are:
- Easily Create Machine Learning Models
- From Models to Predictions in Seconds
- Scalable, High Performance Prediction Generation Service
On the other hand, Swiftype provides the following key features:
- Autocomplete- our search engines come with autocomplete built-in
- Detailed Analytics- Our built-in search analytics give you real-time insight into what your users are looking for.
What is Amazon Machine Learning?
What is Swiftype?
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Why do developers choose Amazon Machine Learning?
What are the cons of using Amazon Machine Learning?
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Which #IaaS / #PaaS to chose? Not all #Cloud providers are created equal. As you start to use one or the other, you'll build around very specific services that don't have their equivalent elsewhere.
Back in 2014/2015, this decision I made for SmartZip was a no-brainer and #AWS won. AWS has been a leader, and over the years demonstrated their capacity to innovate, and reducing toil. Like no other.
Year after year, this kept on being confirmed, as they rolled out new (managed) services, got into Serverless with AWS Lambda / FaaS And allowed domains such as #AI / #MachineLearning to be put into the hands of every developers thanks to Amazon Machine Learning or Amazon SageMaker for instance.
Should you compare with #GCP for instance, it's not quite there yet. Building around these managed services, #AWS allowed me to get my developers on a whole new level. Where they know what's under the hood. Where they know they have these services available and can build around them. Where they care and are responsible for operations and security and deployment of what they've worked on.
We integrated the swiftype technology into our website. Initial setup was super easy and the service has been amazing so far. Swiftype dashboard offers many services to help you understand and optimize the search experience for your users. I highly recommend Swiftype to any website or app that needs an easy to setup, powerful and reliable search solution. The sales and the support team are amazing! Tip, if you want to try out the system, ask for Lucy Yu. She is amazing and walking you through the process!