HeatWave is a massively parallel, high performance, in-memory query accelerator for Oracle MySQL Database Service that accelerates MySQL performance by orders of magnitude for analytics and mixed workloads. MySQL Database Service with HeatWave is the only service that enables customers to run OLTP and OLAP workloads directly from their MySQL database. This eliminates the need for complex, time-consuming, and expensive data movement and integration with a separate analytics database. The new MySQL Autopilot uses advanced machine-learning techniques to automate HeatWave, which makes it easier to use and further improves performance and scalability. HeatWave is optimized for Oracle Cloud Infrastructure (OCI).
Find out why according to IDC, HeatWave AutoML is "a game changer for application developers and a broad range of data analysts and scientists."
Nipun Agarwal, Vice President, HeatWave and Advanced Development, Oracle, demonstrates how the new MySQL Autopilot increases the performance of HeatWave while saving significant time for developers and DBAs.
Pablo Lemos, Co-Founder and CTO of Tetris.co, describes how MySQL HeatWave dramatically reduced their Amazon Aurora and Redshift costs by over 50% while delivering real-time insights and enabling their expansion.
HeatWave is an in-memory query accelerator developed for Oracle MySQL Database Service. It’s a massively parallel, hybrid, columnar, query-processing engine with state-of-art algorithms for distributed query processing which provide very high performance for queries.
HeatWave has a highly partitioned architecture which enables massive inter- and intra-node parallelism. It has an intelligent query scheduler which overlaps computation with network communication tasks to achieve very high scalability across thousands of cores for real-world applications.
Query processing in HeatWave has been optimized for OCI. The sizes of the partitions have been optimized to fit the cache of the underlying shapes. The overlap of computation with communication is optimized for the network bandwidth available in OCI. Various analytics processing primitives use the hardware instructions of the underlying virtual machines (VMs).
MySQL Autopilot automates many of the most important and often challenging aspects of achieving high query performance at scale—including provisioning, data loading, query execution, and failure handling. It uses advanced techniques to sample data, collect statistics on data and queries, and build machine-learning models to model memory usage, network load, and execution time. These machine-learning models are then used by MySQL Autopilot to execute its core capabilities. MySQL Autopilot makes the HeatWave query optimizer increasingly intelligent as more queries are executed, resulting in continually improving system performance over time. MySQL Autopilot is available at no additional charge for MySQL HeatWave customers.
MySQL Autopilot provides the following capabilities:
When data is loaded from MySQL into HeatWave, a copy of the in-memory representation is made to the scale-out data management layer built on the OCI object store. Any changes made to data in MySQL are transparently propagated to this data layer. When an operation requires reloading of data to HeatWave such as during error recovery, data can be accessed from the HeatWave data layer, in parallel, by multiple HeatWave nodes. This results in significant improvement in performance. For example, for a 10 TB HeatWave cluster, the time it takes to recover and reload data reduces from 7.5 hours to 4 minutes—over a 100X improvement.
Oracle MySQL Database Service, with its integrated HeatWave, is the only service that enables database administrators and app developers to run OLTP and OLAP workloads directly from their MySQL database.
Eliminate the cost, complexity, and risk of the lengthy extraction, transform, and load (ETL) processes that are required when using separate databases for OLTP and OLAP.
Modifications made by OLTP transactions are propagated in real time to HeatWave and immediately visible for analytics queries. There’s no need to index the data before running analytics queries.
All data at rest and in transit between MySQL database and the nodes of the HeatWave cluster is encrypted by default. Since data isn’t transferred between databases, there’s no risk of it being compromised during the ETL process. Relying on a single database for OLTP and OLAP eliminates the need to have different identity management, improving security.
HeatWave is a native MySQL solution. Existing MySQL applications work without changes.
HeatWave supports the same BI and data visualization tools as MySQL Database Service, such as Oracle Analytics Cloud, Tableau, and Looker.
IDC
“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.”
Futurum
“The bottom line is we believe the competition just got outplayed on every measurable metric imaginable. It also represents a wake-up call for the industry and a rude awakening to the database cloud competition as they all must now respond to the MySQL HeatWave innovation juggernaut.”
Wikibon
“The performance results put Amazon Redshift and Snowflake to shame. While Aurora, Amazon’s own modified MySQL cloud database service is limited to 128TB database sizes, MySQL HeatWave Lakehouse supports cloud databases in excess of 400TB, demonstrating continued innovation at a compelling price point for customers worldwide.”
Digital agency from Germany consolidates data processing and analytics with MySQL HeatWave on AWS for 90X faster complex queries, 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. 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 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 while supporting three million users—all to enhance student performance.
The Brazilian metaverse startup migrated all its data to MySQL HeatWave. 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.
We recently introduced MySQL Autopilot for MySQL HeatWave. MySQL Autopilot automates many important and challenging aspects of achieving high query performance at scale - including provisioning, data loading, query execution and failure handling. MySQL Autopilot makes the HeatWave query optimizer increasingly intelligent as more queries are executed, resulting in continually improving system performance over time.
Read the complete postMySQL Database Service, with its integrated HeatWave, is the only offering in the industry that provides DBAs and developers with a single, unified MySQL platform for both OLTP and OLAP workloads. This simplifies application development, saves time, enables real-time queries, decreases costs, and improves security.
MySQL Database Service is 100% compatible with MySQL on-premises. Keep your OLTP workloads on-premises and offload your analytics workloads to HeatWave without changes to applications.
Product |
Comparison Price (/vCPU)* |
Unit Price |
Unit |
MySQL Database—Standard–E3 |
OCPU per hour |
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MySQL Database—Standard–E3–Memory |
Gigabyte per hour |
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MySQL Database—Storage |
Gigabyte storage capacity per month |
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MySQL Database—Backup Storage |
Gigabyte storage capacity per month |
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MySQL HeatWave—Standard-E3 |
Node per hour |
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MySQL Database for HeatWave—Standard-E3 |
Node per hour |
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MySQL Database for HeatWave—Bare Metal Standard-E3 |
Node per hour |
HeatWave is a new, in-memory query accelerator developed for MySQL Database Service. It’s a distributed, scalable, in-memory, hybrid columnar, query-processing engine designed for fast execution of analytic and transactional queries. HeatWave is optimized for and exclusively available on OCI.
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