News/Tech News

MySQL HeatWave Lakehouse debuts from Oracle

Published on Oct 21, 2022

Designed to rapidly load and query up to 400TB of data, the new lakehouse service will compete with offerings from Oracle competitors such as Snowflake, Google, AWS, and Microsoft Azure.

Oracle on Tuesday launched its MySQL HeatWave Lakehouse service as part of its efforts to compete with its cloud-services rivals and help enterprises make better use of their accumulated data.

The MySQL HeatWave Lakehouse, announced at the Oracle CloudWorld conference, is currently in beta and is expected to become generally available in the first half of 2023. Designed to load and query up to 400 TB of data, Oracle’s HeatWave cluster can scale up to 512 nodes.

In essence, a data lakehouse is an architecture that combines the benefits of a data warehouse-such as structured data management and processing capabilities, including table formats, metadata management, and transactional updates and deletions-with the agility and low cost of a data lake.

Matt Aslett, Ventana Research’s research vice president, said the lakehouse architecture concept has gained popularity among enterprises that have invested in data lakes.

According to Aslett, by 2024, more than three-quarters of current data lake adopters will be investing in data lakehouse technologies.

The data lakehouse concept has been introduced by Oracle rivals including Snowflake, Databricks, Teradata, Dremio, Google, Amazon Web Services, and Microsoft Azure.

According to a Ventana report, data lakes have become an integral part of many organizations’ analytics data estates.

As vendors have begun offering cloud object storage as the underlying data repository, data lakes have gained prominence, providing an inexpensive means of storing large volumes of data from multiple enterprise applications and workloads. The importance of this is even greater for semistructured and unstructured data that cannot be stored and processed in a data warehouse.

According to Ventana Research’s Analytics & Data Benchmark Research poll, more than half (53%) of respondents are using object storage in their analytics efforts, with another 29% evaluating or planning to do so.

Tech News

Quarkus defends REST APIs from attacks

Quarkus defends REST APIs from attacks

Quarks has released version 2.13.0, a new release that combines RESTEasy APIs with an integrated control against CSRF attacks, thus increasing…

PostgreSQL 15

Streamlines workload management with PostgreSQL 15

PostgreSQL 15 was released on October 13 by the PostgreSQL Global Development Group, which oversees the development of the database…

Our Latest Blog

Mastering Full Stack Python Development with Django A Comprehensive Guide

Mastering Full Stack Python Development with Django: A Comprehensive Guide

Python is a powerful programming language that has taken the world of web development by...
Read More
Mastering Machine Learning A Beginner's Guide to Python

Mastering Machine Learning: A Beginner’s Guide to Python

Welcome to the world of machine learning! With the ever-increasing demand for artificial intelligence and...
Read More
Unlocking the Power of Data Science with Python A Beginner's Guide

Unlocking the Power of Data Science with Python: A Beginner’s Guide

Data science has become an essential part of many industries today, and Python has become...
Read More

Follow Us


Browse LSET presentations to understand interesting…

Explore Now

Get complete guides to empower yourself academically…

Explore Now

Learn about information technology and business…

Explore Now