HeatWave GenAI now provides integrated, automated, and secure generative AI to AWS customers
Vector processing with HeatWave on AWS and OCI offers 39X better price performance than Snowflake, 96X better than Databricks, and 48X better than Google Big Query
Oracle CloudWorld, Las Vegas—Sep 10, 2024Oracle today announced new HeatWave capabilities, including innovations to help organizations more easily and securely take advantage of generative AI both in Oracle Cloud Infrastructure (OCI) and in Amazon Web Services (AWS). Additional new capabilities help customers quickly and securely implement lakehouse and machine learning applications for a wider variety of use cases, as well as help improve the performance and manageability of transactional applications.
“Our track record of delivering powerful new HeatWave capabilities that are automated, integrated, and secure now extends to AI. Some organizations, such as SmarterD, are building new generative AI applications on HeatWave and moving into production in less than a month,” said Edward Screven, chief corporate architect, Oracle. “To enable more customers to take advantage of our innovations, including HeatWave GenAI with in-database LLMs, we are making them available natively on AWS. This enables AWS users to build rich generative AI applications without the need for AI expertise, without complex manual integrations and troubleshooting, and without the security risks and costs of moving their data to separate services.”
“The integration of generative AI in HeatWave is a major leap forward for us,” said Hans Ospina, CTO and founder, SOCOBOX. “By bringing in-database LLMs, automated vector processing, AutoML, and lakehouse into our workflows, we can now deliver powerful AI-driven insights and applications without the overhead of external tools. This comprehensive approach not only simplifies our operations but also ensures real-time, cost-effective solutions that resonate with the demands of our customers.”
Organizations applying analytics, transaction processing, machine learning, and generative AI across various data types and sources can leverage new HeatWave capabilities, including:
AWS customers can reduce complexity by replacing up to six AWS services with HeatWave. New HeatWave capabilities on AWS, which are also available on OCI, include:
By providing integrated, automated, and secure generative AI, HeatWave GenAI lets developers build new generative AI applications without AI expertise, data movement, or additional cost. New capabilities include:
HeatWave MySQL enables OLTP workloads to leverage the Enterprise Edition features of MySQL Database and delivers unique capabilities, such as Auto Shape Prediction, Auto Thread Pooling, Autopilot Indexing, and in-database JavaScript. New capabilities include:
HeatWave Lakehouse enables users to query hundreds of terabytes of data in object storage with the best price-performance in the industry. HeatWave Lakehouse can uniquely query data in object storage at the same speed as database queries without the need to copy the data from the object store to the database. New capabilities include:
HeatWave AutoML includes everything users need to build, train, and explain machine learning models within HeatWave at no additional cost. It provides support for classification, regression, anomaly detection, recommender systems, and time series forecasting. New capabilities include:
HeatWave is now available in the OCI Always Free Service, which enables organizations to develop and run small-scale applications using HeatWave MySQL, analytics, machine learning, JavaScript, HeatWave Vector Store, and process data in object store. All OCI accounts get access to a standalone HeatWave instance in OCI in their home region, along with 50 GB of storage and 50 GB of backup storage, for an unlimited time. They also receive $300 of credit to use for all eligible OCI services for up to 30 days.
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