To mark the 3rd day of Oracle CloudWorld 2023, Oracle announced significant enhancements to MySQL HeatWave. These include support for vector store, generative AI, new AutoML capabilities for training, inference, and explanations on data in object storage as well as an enhanced recommender system, MySQL Autopilot enhancements, support for JavaScript, acceleration of JSON queries, and more. Oracle also announced the availability of MySQL HeatWave Lakehouse on AWS.

For a technical deep dive on the latest MySQL HeatWave innovations, read this blog. 

What industry experts are saying
Leading industry analysts had the following to say about the recent MySQL HeatWave announcements: 

NAND Research:
“The MySQL HeatWave engineering team is clearly doubling down on AI and machine learning innovation. Not only can customers now train ML models on data both in the database and in object storage with full automation, but with the new generative AI and vector store capabilities they’ll be able to interact with HeatWave in natural language, and they’ll receive accurate answers for their own business purposes only—based on their own enterprise data in addition to publicly available data. The flexibility to use whichever LLMs organizations prefer continues to demonstrate the open and collaborative approach of the MySQL HeatWave engineering team.” 
—Steve McDowell, Principal Analyst and Founding Partner, NAND Research

Constellation Research:
“The MySQL team has out-innovated the industry, providing 5 different core database use cases in a single database, which gives CxOs the peace of mind to have one database that can do it all—a truly universal database. The alternative is a suite of specialized databases that are harder to procure, operate and build next generation applications for. HeatWave delivers lower cost and higher agility. With the addition of MySQL HeatWave Lakehouse, the offering provides CxOs with one single database to bring together both MySQL data and non-MySQL data, with choices of deployment on both AWS and OCI, effectively providing CxOs with a level of flexibility and choice.” 
—Holger Mueller, Vice President and Principal Analyst, Constellation Research

Wikibon: 
“The unprecedented pace of production-proven MySQL HeatWave database convergence innovations—that solve major user problems—has been breathtaking. This latest MySQL HeatWave Vector Store continues that solid innovation trend for generative AI and large language models (LLM). It supports any LLM a customer selects while processing up to ½ a petabyte of Lakehouse data residing in either AWS or OCI—at the same unprecedented speed as the data within the MySQL HeatWave database. MySQL HeatWave’s innovative database convergence accelerates user productivity, time-to-actionable-insights, time-to-market, time-to-revenues, at very affordable costs—and puts to shame all other database cloud services providers.” 
 —Marc Staimer, Senior Analyst, Wikibon

Futurum:
“The innovation train keeps accelerating faster for the MySQL HeatWave engineering team, with a raft of innovations coming online just in time for CloudWorld. Lakehouse functionality is now available natively on AWS; a new vector store and support for LLMs of choice enables users to interact with MySQL HeatWave in natural language; customers can use HeatWave AutoML to perform machine learning operations on data loaded directly from the Lakehouse; JavaScript can now be accelerated by HeatWave; and with JSON acceleration in HeatWave, queries run up to 144X faster. For its competitors such as Redshift, Aurora, Snowflake, Databricks and BigQuery, the heat is on as customers have numerous more reasons to make the switch to HeatWave.”  
—Ron Westfall, Senior Analyst and Research Director, Futurum Research

Enterprise Strategy Group (ESG):
“Oracle just became the first cloud database provider to integrate generative AI into a MySQL offering by implementing Vector Store in HeatWave, continuing the converged database approach. With this new capability, users can interact with data in natural language and responses can combine public data with proprietary enterprise data in MySQL HeatWave to generate more accurate and relevant responses. With all of the interest in generative AI, this should make MySQL HeatWave an obvious choice for both MySQL and non-MySQL customers.”
 —Stephen Catanzano, Senior Analyst, ESG

OMDIA:
“MySQL HeatWave speeds into CloudWorld Las Vegas with a flurry of announcements, including the ability to query JSON documents up to 144X faster. But it’s the addition of Generative AI support, including a new vector store that uses a language encoder to create vector embeddings from documents in HeatWave Lakehouse—available now in both AWS and OCI—that should really get organizations’ attention. With the ability to use LLMs of choice to generate a response from an organization’s specific data stored in MySQL HeatWave, users can now obtain contextually relevant answers for both MySQL and non-MySQL data in a cloud service that already combines real-time analytics, machine learning and transactional workloads.”
—Bradley Shimmin, Chief Analyst, AI Platforms, Analytics, and Data Management, Omdia

For additional information:
•    Learn more about HeatWave Lakehouse
•    Request a free workshop
•    Try MySQL HeatWave for free
•    Discover the MySQL HeatWave migration program