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Bize Ulaşın Oracle Cloud'da Oturum Aç


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
Wikibon Report The MySQL HeatWave technology is by far the best in the market

Wikibon "strongly recommends that enterprise IT departments set a three-year plan to eliminate separate OLAP databases and ETL from MySQL transactional databases".

heatwave in the MySQL marketOracle adds machine learning automation to MySQL HeatWave

Constellation Research concludes "Customers using MySQL or MySQL-compatible databases should evaluate MySQL Database Service with HeatWave now."

MySQL Heatwave engages Autopilot MySQL Heatwave engages Autopilot

"Machine learning puts MySQL on overdrive" according to the dbinsight analysis covering the latest HeatWave innovations.

IDC Report MySQL HeatWave and AutoPilot represent a quantum leap

IDC states that "Combined with HeatWave and Autopilot, MySQL Database Service may very well be the single greatest innovation in open source cloud databases in the past 20 years."

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. testimonial

Pablo Lemos, Co-Founder and CTO of, 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

See what top industry analysts are saying about MySQL HeatWave


“These new fully transparent benchmarks demonstrate HeatWave’s performance, price and scale advantages over all other MySQL and cloud databases.”


“Oracle has shown AWS and Snowflake how to design and architect a true MySQL Cloud Database.”

Moor Insights & Strategy
Moor Insights & Strategy

“For those looking to extract the most out of their MySQL environments, HeatWave should be given a hard look.”

Constellation Research
Constellation Research

“Oracle brings out new innovations which are set to likely disrupt the market, significantly lifting the expectations for what open source cloud databases should be.”

MySQL HeatWave customer successes

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.

HeatWave pricing

MySQL Database Service

Unit price
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
MySQL Database—Storage

Gigabyte storage capacity per month
MySQL Database—Backup Storage

Gigabyte storage capacity per month




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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