Datava simplifies complex financial analytics and AI with Oracle HeatWave
The platform provider helps credit unions to easily and cost-effectively analyze huge datasets and take advantage of AI using Oracle HeatWave.
“HeatWave is truly unique because it combines transactions, analytics, machine learning, and generative AI in one solution. Its incredible price-performance makes complex analytics affordable for many more customers. Plus, its built-in automation makes it very easy to use for data and business analysis.”
Datava provides an end-to-end data activation platform for credit unions. The company’s customers were struggling to perform ad hoc analytics on very large data sets due to the complexity of moving data across data stores and the cost of the required resources to complete this type of analysis. Datava selected Oracle HeatWave MySQL as the default foundation for its platform because it provided a unified solution for OLTP and analytics that helped to eliminate complex data movements. Also, HeatWave MySQL’s price-performance allowed for cost-effective analysis of large datasets for member behavior analysis. The company saw 100X better price-performance than Amazon Aurora for analytics queries against 10 million to 100 million row data sets, and even higher performance for 100M to 1B row data sets. It was also significantly less expensive than Snowflake. In addition, Datava adopted Oracle HeatWave AutoML for product recommendations and other use cases, and Oracle HeatWave GenAI for its AI analytics assistant.