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High Performance & Scalability
For many FinTech and AdTech companies, it is challenging to candidate algorithms and hyperparameters that need to be turned per algorithm HeatWave is designed for high performance and to overcome these issues with an automated machine learning pipeline that has novel noniterative architecture. Created for scalability and flexibility, the model allows your FinTech and AdTech company to distribute individual model fits on a given HeatWave cluster and advance performance.
As your training data size expands, you can easily scale up your cluster size to dozens of HeatWave nodes and reduce training time during the process. HeatWave is the fastest and most cost-effective solution on the market as it’s 1400x faster and half the cost of Amazon Aurora and 6.8x quicker and half the price of Snowflake.
In-Database Machine Learning
HeatWave enables you to seamlessly generate inferences and explanations without extracting data out of your MySQL Database. The solution provides an arrange of advantages such as:
Full automation: the software can completely generate inferences, explanations and automate the creation of tuned models.
SQL interface: it provides an easy-to-use interface to optimize machine learning capabilities.
Security: data models can stay in MySQL at all times. Performance and scalability: it’s designed for high performance with automated machine learning to speed up the pipeline of decisions.
Explanations: predictions of machine learning models can be explained easily to build trust and compliance.
With MySQL HeatWave your FinTech and AdTech company can candidate algorithms, preprocess data and utilize the knowledge of Python to extract data efficiently with its advanced machine learning capabilities. If you would like to learn more about the in-database machine learning of HeatWave, contact us today.
