One MySQL cloud database service for transactions, real-time analytics across data warehouses and data lakes, and machine learning (ML)—without the complexity, latency, risks, and cost of extract, transform, and load (ETL) duplication. Available on Oracle Cloud Infrastructure (OCI), Amazon Web Services (AWS), and Microsoft Azure.
Join industry experts and top developers 12–13 March in London, England, for Oracle DevLive: Build with Data and AI. Learn from leading innovators and developers on how to build powerful applications with Java, MySQL, Oracle Database, and Oracle Cloud technologies by harnessing the power of data and AI.
Simplicity of transactions, real-time analytics across data warehouses and data lakes, and ML in one cloud database service
Eliminate the cost and complexity of separate analytics database, lakehouse, ML, and ETL cloud services. Query data in MySQL, in object storage, or across both. Avoid the latency and security risks of data movement between data stores.
Unmatched performance and price-performance
MySQL HeatWave is 4.2X faster than Amazon Redshift at one-fifth the cost, 3.3X faster than Snowflake at one-eighth the cost, and 1,400X faster than Amazon Aurora at half the cost. The price-performance of MySQL HeatWave Lakehouse for query processing is 8X better than Redshift, 18X better than Databricks, 22X better than Snowflake, and 30X better than Google BigQuery.
Ready for the distributed cloud
Deploy MySQL HeatWave on OCI, AWS, Azure, or in your data center.
MySQL HeatWave customers significantly improve productivity while reducing costs, deliver a better customer experience, scale to onboard more clients, and accelerate time to market.
Digital agency from Germany consolidates data processing and analytics with MySQL HeatWave on AWS for 90X faster complex queries than RDS, doubling click-through rates for marketing campaigns with greater scalability and less administration.
The multicloud tech leader consolidated data processing and analytics with MySQL HeatWave on AWS for 20X faster query performance, more scalability, and less administration than MariaDB on RDS. All with no code changes for real-time reporting.
This medical device manufacturer consolidated data processing and analytics with MySQL HeatWave on AWS for 50X faster complex queries than RDS for real-time insights to improve diabetes self-monitoring.
This K-12 educational SaaS provider in Brazil achieves real-time analytics with 300X faster complex query execution at 85% lower cost than Google BigQuery while supporting three million users—all to enhance student performance.
The Brazilian metaverse startup migrated all its data to MySQL HeatWave from AWS EC2. Within 3 hours, it achieved 5X better database performance for an event with more than one million visitors with greater security and at the half the cost.
This Japanese video game company gained real-time insights by adding HeatWave to MySQL Database Service, helping it meet its goal of continuously improving joyful entertainment for customers around the world.
Migrate to MySQL HeatWave on OCI or AWS.
See how MySQL HeatWave enables digital marketing agency customers to send the right offer to the right prospect via the right channel at the right time—and provides real-time campaign performance analytics to make the best decisions.
Discover why numerous fast-growing, cloud native organizations migrate to MySQL HeatWave to overcome their growing pains—improving performance, scalability, security, and productivity while reducing costs.
The technology that fintechs rely on often determines their ability to deliver an innovative solution with the performance, scalability, security, reliability, and cost efficiency that will sway customers. Learn why fintech startups migrate to MySQL HeatWave.
For ISVs delivering SaaS applications, selecting the right cloud platform is crucial since it represents the foundation on which their applications are built and has a large impact on how well they can serve customers. See why MySQL HeatWave has become a popular choice for ISVs.
As demonstrated by a 500 TB TPC-H benchmark, the query performance of MySQL HeatWave Lakehouse is
Learn why Constellation Research says the addition of lakehouse support has made MySQL HeatWave “the cloud-native data platform for all data processing needs of an enterprise.”
Discover why The Futurum Group says MySQL HeatWave’s new generative AI and vector store capabilities increase ease of use for customers and ensures “their unfolding AI journeys are proceeding on the right track.”
Find out why according to IDC, HeatWave AutoML is "a game changer for application developers and a broad range of data analysts and scientists."
“MySQL HeatWave on AWS is a very compelling solution not just for analytics but also for OLTP and mixed workloads, as may be seen in publicly available benchmarks. For any developers working with MySQL on AWS, Oracle has just dropped a big productivity boost on your doorstep without the big price tag.”
“HeatWave is the only cloud data lakehouse service to query data in object storage and in the database at the same speed, which has never been achieved before...Oracle simplifies the experience for users, removing the need to keep multiple copies of data across multiple object stores, paying for data movement and pipelines, all while shuffling critical data around.”
“MySQL HeatWave, now with Lakehouse, may be the most significant open source cloud database innovation in the last decade….MySQL HeatWave just took a giant leap by increasing the scale-out processing by a factor of 8x to 512 nodes. The ability of HeatWave to load and query data on such a massive number of nodes in parallel is the first in the industry. Expect it to spur a market focus on much lower cost/performance, accelerated innovation, and increased competition.”
Moor Insights & Strategy
“Oracle introduced MySQL HeatWave and they did send shockwaves because they named and shamed basically every database company out there and my favorite is what they talked about with Snowflake….You can spend $80K on HeatWave and that would cost you $420K to run on Snowflake.”
Nipun Agarwal, Oracle Senior Vice President, MySQL HeatWave Development
With support for Generative AI, users can interact with MySQL HeatWave in natural language. Both the user queries and the response from the system are generated in natural language using a Large Language Model (LLM).
Explore the MySQL HeatWave ISV catalog.
HeatWave is a massively parallel, high performance, in-memory query accelerator that increases MySQL performance by orders of magnitude for analytics and mixed workloads—without any changes to existing applications.