In Oracle CloudWorld 2024 Las Vegas conference, Oracle unveils new HeatWave capabilities, offering integrated generative AI for Amazon AWS customers. HeatWave on AWS and OCI outperforms competitors in vector processing, delivering superior price-performance ratios.
These innovations help organisations leverage generative AI securely across OCI and AWS. New features support quick implementation of lakehouse and machine learning applications, enhancing transactional application performance and management.
Edward Screven, Oracle’s chief corporate architect, highlights HeatWave’s track record in delivering automated, integrated, and secure AI capabilities. The availability of HeatWave GenAI with in-database LLMs on AWS allows customers to build AI applications without extensive expertise or complex integrations.
SOCOBOX’s CTO, Hans Ospina, praises the integration of generative AI in HeatWave, noting its ability to deliver real-time, cost-effective solutions that meet customer demands.
New HeatWave capabilities on AWS include:
Simplified operations by replacing multiple AWS services
Enhanced analytics and AI features
HeatWave GenAI: Simplifies secure generative AI app development for AWS users at lower costs. It automates vector store creation, uses in-database LLMs or Amazon Bedrock models, and enables natural language conversations with S3 documents. HeatWave outperforms competitors in vector processing speed and cost-efficiency.
HeatWave Lakehouse: Offers fast insights from all data types in Amazon S3 with top performance and price-performance.
Native JavaScript support: Allows writing and executing JavaScript procedures inside HeatWave for dynamic content-loading apps.
HeatWave Autopilot indexing: Predicts optimal indexes for OLTP workloads, saving time on manual index determination.
HeatWave GenAI’s new features include:
Multi-lingual support for 27 languages
OCR support for image-to-text conversion
LLM inference batch processing for improved throughput
Automatic vector store updates
JavaScript support with VECTOR datatype
HeatWave MySQL enhances OLTP workloads with Enterprise Edition features and unique capabilities like Auto Shape Prediction and Auto Thread Pooling.
These innovations help businesses leverage AI securely across OCI and AWS, supporting quick implementation of lakehouse and ML apps, and improving transactional app performance.
Hypergraph optimiser: Improves complex query performance with cost-based join optimisation.
OCI Ops Insights integration: Uses ML analytics to identify issues, predict usage, and plan capacity.
Bulk ingest: Loads data up to 5X faster, enabling quicker queries and resource release.
HeatWave Lakehouse queries terabytes of object storage data at database speeds without data copying. New features:
Writing to object storage: Allows easy result sharing and enables MapReduce applications.
Automatic change propagation: Detects and updates object storage changes incrementally.
HeatWave AutoML offers free ML model building, training, and explanation within HeatWave. New capabilities:
Larger model support: Accommodates 4X larger models for richer training.
Topic modeling: Discovers key themes in large text datasets.
Data drift detection: Identifies when to retrain models.
Semi-supervised log anomaly detection: Improves predictions using labeled feedback.
HeatWave GenAI Product Information
Oracle HeatWave GenAI offers integrated, automated, and secure generative AI with in-database large language models (LLMs), an automated, in-database vector store, scale-out vector processing, and the ability to have contextual conversations in natural language, allowing you to benefit from generative AI without requiring AI expertise, data movement, or additional costs. HeatWave GenAI is available for Oracle Cloud Infrastructure (OCI), Amazon Web Services (AWS), and Microsoft Azure.
HeatWave is now available in OCI Always Free Service, offering a standalone instance with 50 GB storage and 50 GB backup storage. Users get $300 credit for 30 days.
These innovations help businesses leverage AI securely, supporting quick implementation of lakehouse and ML apps, and improving transactional app performance. Oracle HeatWave empowers organisations to develop and run applications using MySQL, analytics, ML, JavaScript, Vector Store, and process object store data efficiently.
