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Oracle offers its MySQL HeatWave database and analytics on Amazon’s cloud
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(Reuters) – Oracle Corp has started to offer MySQL HeatWave, its cloud database service for transactions, analytics and machine learning, on Amazon’s AWS cloud, allowing customers whose data is already parked there to use the service, the U.S. company said on Monday.
(Reuters) – Oracle Corp has started to offer MySQL HeatWave, its cloud database service for transactions, analytics and machine learning, on Amazon’s AWS cloud, allowing customers whose data is already parked there to use the service, the U.S. company said on Monday.
The new offering is not through a partnership with Amazon.com Inc which has its own range of database services that Oracle competes with, said Edward Screven, chief corporate architect of Oracle. He said Oracle does have a partnership with Microsoft Corp and will be offering this database platform on the Azure cloud in the future.
Screven said customers who have parked their data on AWS in the past would have had to pay expensive fees to move that data to Oracle’s cloud to use the MySQL HeatWave service.
“We actually run MySQL HeatWave on Amazon infrastructure. So we’ve done a lot of work to port and tune MySQL HeatWave to the Amazon environment,” he said.
(This story corrects to clarify in the third paragraph that customers can use the service in AWS)
(Reporting by Jane Lanhee Lee; Editing by Josie Kao)
MySQL HeatWave is a cloud database service offered by Oracle that integrates transaction processing, analytics, and machine learning capabilities to enhance data management and analysis.
Amazon AWS (Amazon Web Services) is a comprehensive cloud computing platform provided by Amazon, offering a range of services including computing power, storage options, and database solutions.
A cloud database is a database that runs on a cloud computing platform, allowing users to store and manage data over the internet rather than on local servers.
Data migration is the process of transferring data from one storage system or format to another, often required when changing systems or upgrading technology.
Machine learning is a subset of artificial intelligence that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention.
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