Oracle has taken a significant step forward by launching MySQL HeatWave Lakehouse, an extension to its proprietary analytics platform that now supports object storage outside the database. This innovative offering emphasizes the rapid pace at which Oracle is introducing new capabilities to its HeatWave platform, reflecting the company’s ambition to redefine the data analytics landscape.
What is MySQL HeatWave Lakehouse?
MySQL HeatWave Lakehouse builds upon the existing HeatWave analytics system, constructed atop the open-source MySQL database. This extension can query data in the object store, including file formats such as CSV, Parquet, and export files from other databases. Additionally, it combines this with data in MySQL, making it a versatile tool for modern data analytics.
Unlike traditional approaches, files in the object store are queried directly by HeatWave without copying the data into the MySQL database. According to Oracle, this feature gives HeatWave extreme scalability as the HeatWave cluster can scale up to 500 nodes.
Performance and Scalability
In a 500TB TPC-H benchmark, Oracle’s claims indicate that queries on MySQL HeatWave Lakehouse outperform competitors by a significant margin. Compared to AWS’s data warehouse, queries took nine times longer, and they were 17 times longer on Snowflake and Databricks. Google’s BigQuery was said to be 36 times slower. This remarkable performance sets HeatWave Lakehouse apart from its rivals, although no comparisons with Teradata, the veteran data warehouse vendor, were published.
Availability and Future Integration
Currently, MySQL HeatWave Lakehouse is exclusively available on Oracle Cloud Infrastructure (OCI). Nipun Agarwal, senior vice veep of MySQL HeatWave, revealed to The Register that Oracle intends to extend the system to query data held in object storage in other clouds, including AWS, Azure, and GCP.
The move to support these different clouds indicates Oracle’s intent to create a unified platform capable of querying data across various enterprise environments. This could greatly appeal to users who want to work across all their enterprise data using HeatWave.
Unique Features and Innovations
One of the standout features of MySQL HeatWave Lakehouse is MySQL Autopilot, which promises to improve performance and scalability without requiring database tuning expertise. Autopilot offers schema inference, helping users determine data types in object storage before data analysis. This technique, known as adaptive data sampling, allows intelligent scans and sampling of the file without compromising accuracy.
Furthermore, Autopilot can predict the in-memory representation for a specific data source, the optimal size of the cluster needed for computation, and the time it will take to load the data.
Oracle’s approach to analytics engines querying data outside their home database is not entirely new, mirroring techniques used by Snowflake, Cloudera, Google’s BigQuery, Databricks, Microsoft, and SAP. However, Oracle has expressed its intention for HeatWave to support formats like Apache Iceberg and Delta Lake in the future.
Industry Reception and Perspective
The introduction of MySQL HeatWave Lakehouse is seen as a significant move, allowing users to bring together all enterprise data into one single query. Holger Mueller, vice president and principal analyst at Constellation Research, lauded Oracle’s innovation in HeatWave, saying, “The HeatWave team has out-innovated all other cloud databases.”
The extension into object storage is considered “huge,” opening new possibilities for enterprises that have long awaited a unified analytics solution. Despite competing with specialist players in various features, Oracle HeatWave’s comprehensive offering and robust performance make it a compelling choice.
Oracle MySQL HeatWave Lakehouse signifies a new era of analytics, providing an integrated platform that queries data in various formats and combines them for a more cohesive view. With continuous innovation and expansion into other cloud environments, Oracle demonstrates its commitment to pioneering data solutions that meet the evolving needs of businesses.
The fusion of object storage with the robust analytics capabilities of MySQL HeatWave positions Oracle as a leader in the data warehouse and analytics market. By embracing industry standards and delivering a user-centric platform, Oracle MySQL HeatWave Lakehouse promises to shape the future of data analytics and drive enterprise success.
In the ever-changing world of data analytics, Oracle’s MySQL HeatWave Lakehouse represents a significant stride towards unified, efficient, and scalable data management. Its unique capabilities and competitive performance make it a critical addition to Oracle’s suite of tools, enabling businesses to leverage their data like never before.
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