We’re sorry. We could not find a match for your search.

We suggest you try the following to help find what you're looking for:

  • Check the spelling of your keyword search.
  • Use synonyms for the keyword you typed, for example, try “application” instead of “software.”
  • Start a new search.
Contact Us Sign in to Oracle Cloud


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).

HeatWave diagram
IDC logo A game changer for machine learning capabilities

Find out why according to IDC, HeatWave AutoML is "a game changer for application developers and a broad range of data analysts and scientists."

HeatWave demo: MySQL Autopilot

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.

Tetris.co testimonial

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.

Built-in real-time query accelerator for MySQL Database Service

Integrated, high performance, in-memory query accelerator

Highly performant query accelerator for SQL queries

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.

Architected for massive scale and performance

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.

Optimized for OCI

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).

Oracle MySQL Autopilot: machine-learning–based automation

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:

  • Auto provisioning predicts the number of HeatWave nodes required for running a workload by adaptive sampling of table data on which analytics is required. This means that customers no longer need to manually estimate the optimal size of their cluster. No other database service provides this capability.
  • Auto parallel load optimizes the load time and memory usage by predicting the optimal degree of parallelism for each table being loaded into HeatWave. No other cloud vendor offers this capability.
  • Auto data placement predicts the column on which tables should be partitioned in-memory to achieve the best performance for queries. It also predicts the expected gain in query performance with the new column recommendation. This minimizes data movement across nodes due to suboptimal choices that can be made by operators when manually selecting the column. No other database service provides this rich capability.
  • Auto query plan improvement learns various statistics from the execution of queries and improves the execution plan of future queries. This improves the performance of the system as more queries are run. No other database service provides this capability.
  • Auto encoding determines the optimal representation of columns being loaded into HeatWave taking the queries into consideration. This optimal representation provides the best query performance and minimizes the size of the cluster to minimize the cost.
  • Auto query time estimation estimates the execution time of a query prior to executing the query. For customers, this provides a prediction of how long a query will take—enabling them to decide if the duration of the query is too long and to instead run a different query.
  • Auto change propagation intelligently determines the optimal time when changes in MySQL Database should be propagated to the HeatWave scale-out data management layer. This ensures that changes are propagated at the right optimal cadence. No other cloud vendor offers this capability.
  • Auto scheduling determines which queries in the queue are short running and prioritizes them over long running queries in an intelligent way to reduce overall wait time. Most other databases use the First In, First Out (FIFO) mechanism for scheduling.
  • Auto error recovery provisions new nodes and reloads necessary data if one or more HeatWave nodes is unresponsive due to software or hardware failure.

Scale-out data management

100X faster recovery

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.

Single database for OLTP and OLAP

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 ETL

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.

Deliver real-time analytics

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.

Improve security

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.

No changes to MySQL applications

HeatWave is a native MySQL solution. Existing MySQL applications work without changes.

Business intelligence (BI) and data visualization tools

HeatWave supports the same BI and data visualization tools as MySQL Database Service, such as Oracle Analytics Cloud, Tableau, and Looker.

Get hands-on with MySQL HeatWave

Reference architectures

  • Set up a WordPress CMS connected to MySQL Database Service
  • Use Oracle Analytics Cloud with MySQL HeatWave
  • Bring diverse data sources in HeatWave with OCI Data Integration

Free step-by-step workshops

  • Get started with MySQL HeatWave
  • Turbocharge insights with MySQL HeatWave
  • Deploy MySQL HeatWave with Oracle Analytics Cloud

Optimize MySQL Query Performance

See what top industry analysts are saying about MySQL HeatWave



“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.”



“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.”



“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.”

MySQL HeatWave customer successes on AWS and OCI

See more customer successes
Johnny Bytes boosts data and analytics with MySQL HeatWave on AWS

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.

Centroid simplifies and scales data with MySQL HeatWave on AWS

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.

Bionime modernizes data and analytics with MySQL HeatWave on AWS

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.

Estuda.com MySQL HeatWave video
Estuda.com increases query responses by 300X with MySQL HeatWave

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.

VRGlass MySQL HeatWave video
VRGlass increases database performance 5X with MySQL HeatWave

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.

Genius Sonority MySQL HeatWave video
Genius Sonority speeds game analytics by 90X with MySQL HeatWave

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.

August 19, 2021

MySQL Autopilot - Machine Learning Automation for MySQL HeatWave

Nipun Agarwal, Vice President, HeatWave and Advanced Development, Oracle

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 post

Use cases for HeatWave

  • Deliver real-time data analytics

    MySQL 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.

  • Hybrid cloud deployment flexibility

    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.

MySQL Database Service and HeatWave

Comparison Price
Unit Price
MySQL Database—Standard–E3

OCPU per hour
MySQL Database—Standard–E3–Memory

Gigabyte per hour
MySQL Database—Storage

Gigabyte storage capacity per month
MySQL Database—Backup Storage

Gigabyte storage capacity per month
MySQL HeatWave—Standard-E3

Node per hour
MySQL Database for HeatWave—Standard-E3

Node per hour
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.

Customer community

Customer community

Join the conversation by visiting the MySQL Database Service customer forum.

Cloud learning

Cloud learning

Get the most out of MySQL Database Service with a MySQL Learning Subscription.

Support and services

Support and services

Get 24x7 access to MySQL support with My Oracle Support.

MySQL HeatWave related products


World’s most popular open source database

Oracle Analytics Cloud

Modern self-service analytics

Oracle Data Integrator

Simplifying data integration

Oracle Cloud Compute

Get the best price performance

Get started with HeatWave

Try MySQL Database Service for free

Explore with $300 in free credits.

Contact us

Interested in learning more? Contact one of our experts.