Case Study: Datava achieves cost-effective financial analytics and AI with Oracle HeatWave

A Oracle Case Study

Preview of the Datava Case Study

Datava simplifies complex financial analytics and AI with Oracle HeatWave

Datava, a data activation platform provider for credit unions, needed a more efficient way to run ad hoc analytics on very large datasets without the complexity and cost of moving data between multiple systems. To solve this, Datava turned to Oracle HeatWave, including Oracle HeatWave MySQL as the foundation for its platform, along with Oracle HeatWave AutoML and Oracle HeatWave GenAI.

With Oracle HeatWave, Datava unified transactions and analytics in one solution, reducing data movement and enabling cost-effective AI and analytics at scale. The company reported 100X better price-performance than Amazon Aurora for analytics queries on 10 million to 100 million row datasets, even higher performance on larger datasets, and lower cost than Snowflake, helping make advanced analytics more accessible for its credit union customers.


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Datava

P. David Flammer

Chief Technology Officer


Oracle

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