Oracle laid out how MySQL HeatWave powers AI apps in the latest TechCrunch Sessions: AI.
The company says HeatWave’s built-in vector store, in-database LLMs, and machine learning let teams build complex GenAI tools inside the database. No need for separate databases or tricky ETL.
The big win: faster builds, richer apps, real-time data, and advanced personalization — useful for personal productivity, automating compliance workflows, service and support, and healthcare efficiency. 
Oracle’s parallel processing means startups and devs can skip infrastructure headaches and focus on innovation.
For the full Sessions: AI lineup, check out the playlist here.
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In this TechCrunch Sessions: AI event, Oracle shares a rundown of how MySQL HeatWave empowers you in building AI-based solutions in areas such as personal productivity, automating workflows for compliance, service, or support, and increasing efficiencies in healthcare, among others.
By leveraging HeatWave’s built-in vector store, in-database LLMs, in-database machine learning capabilities, and massively parallel processing architecture, teams can develop richer GenAI applications that incorporate real-time data, advanced personalization, and complex retrieval-augmented generation techniques without the need for separate, specialized databases or complex ETL processes.
This approach simplifies the GenAI development stack, accelerates time-to-market, and allows startups and developers to focus on innovation rather than infrastructure management, ultimately enabling the creation of more powerful, responsive, and scalable GenAI solutions.
And for the rest of our Sessions: AI programming, check out our playlist here.
