affiliates The world’s most popular open source database 1995 MySQL is Founded 2000 MySQL Adopts GPL Officially open- source project 2003 4 million active MySQL Installations 2005 MySQL 5.0 Advanced DB Features 2008 Acquisition by Sun 2010 Oracle Acquires Sun
affiliates 2015 MySQL 5.7 Perf & Security 2018 MySQL 8.0 Giant leap for SQL 2019 DBMS of the year (DB-Engine) 2020 2024 8.4 LTS and 9.0 Innov. releases 2025 The world’s most popular open source database MySQL AI
security features for encryption, data masking, authentication, and a database firewall • Automated patching, upgrades, backup, and high-availability management. Access to the latest MySQL features. • Technical support provided by the MySQL experts • Integrated data processing engine performing in-memory query acceleration for MySQL • Transparently improves MySQL query performance by orders of magnitude • The HeatWave cluster can scale out to handle peak loads and scale back in when no longer needed to reduce costs +
superior performance https://blogs.oracle.com/mysql/post/mysql-cloud-services-cost-comparison-who-provides-the-best-value-2025 • HeatWave MySQL is based on MySQL Enterprise • AWS RDS, Aurora, GCP CloudSQL for MySQL and Azure Database for MySQL are based on MySQL Community that is free
with non-Oracle databases is complex Discover user documents Parse data from documents Extract metadata Split data into segments Choose embedding model Create vector embeddings Design vector store Insert metadata + segments + embeddings into vector store Ensure consistency of ML model when querying Part 1 - Create a vector store Part 2 – Use the vector store with LLMs Ask a Question Choose embedding model Create query embedding Select Vector store to search Select search algorithm Select search results Create prompt with search results and guard rails Select LLM Get Results SQL> call sys.VECTOR_STORE_LOAD(uri, @options) SQL> sys.ML_RAG("What is HeatWave?", @NL_response, @optional_search_params) ➢ Simpler and faster ➢ No additional cost
HeatWave instance available in Oracle Cloud • Always free service • Run small-scale applications on HeatWave at no cost • Available features • OLTP, Autopilot, JavaScript • Vector store, Vector processing • Machine Learning (AutoML) • Lakehouse (object store processing) • Available now in all OCI accounts • 1 ECPU, 16GB memory with HeatWave node • MySQL storage: 50 GB, Lakehouse storage: 10 GB One Always Free DB system free-of-charge in the home region of each commercial tenancy Start for free here: • Oracle Cloud: https://cloud.oracle.com/mysqlaas/db-systems • Databases → HeatWave MySQL DB Systems