Momentum builds when useful resources meet real-world use cases. In this April edition of Monthly Product Pulse, we’re bringing together practical developer-focused updates across Oracle AI Database and Autonomous AI Database, SQL and Ask TOM learning resources, Select AI and in-database machine learning innovations, along with MySQL community news and upcoming events.
Oracle AI Database: SQL, Data Modeling, and Practical Patterns
This month’s SQL and Ask TOM resources focus on modern query capabilities and data modeling fundamentals—useful whether you’re refining query logic or revisiting normalization principles.
SQL blog post
- Conditional filters for count, sum, and other aggregates in Oracle AI Database
Learn how to use theFILTERclause for aggregate and window functions (introduced in 23.26.1) to write more expressive and efficient queries.
Ask TOM Live recording
- What will fourth normal form fix in your database?
A practical deep dive into fourth normal form and when it matters in real-world schema design.
Community update
- Assertions bounty winners
See the winners of the assertions bounty and how the community is engaging with emerging SQL features.
Select AI, Agents, and Machine Learning: What’s New
April brings a strong wave of innovation across Select AI, in-database machine learning, and developer productivity.
Select AI and agentic workflows
- Announcing Oracle Select AI Pre-Built AI Agents
Jumpstart development with ready-to-use, customizable AI agents running securely inside Oracle AI Database. - Select AI in action: Intelligent access to archived Oracle E-Business Suite data
Use natural language to query archived EBS data—no specialized expertise required.
New AI-powered developer experiences
- Data Science Agent in Autonomous AI Database
A conversational, in-database experience for the full ML lifecycle—designed for analysts, data scientists, and developers alike. - Boosting Select AI for Python concurrency with connection pooling
Improve scalability and performance for AI-powered apps using optimized connection pooling strategies.
OML and embedded execution updates
- New version of embedded Python and R REST/SQL APIs (v2) with improved job tracking, filtering, and timeout handling
(Note: v1 endpoints deprecated April 30, 2026) - Enhanced embedding model deployment with OML4Py and OML4SQL (support for larger ONNX models)
- Datastore export/import in OML4Py 2.1.1 for easier migration
- OML4Py 2.1 client now available for Windows
Developer Learning and Events (save the dates)
- Agent Memory: Building Memory-Aware Agents (DeepLearning.AI)
Learn how to design AI agents that store, retrieve, and refine knowledge across sessions. Register here
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- Oracle Database Security Tiger Team Training (Virtual)
A three-day live training with Oracle product management and development teams, including live Q&A and direct expert interaction.
Series 1 (Americas & EMEA): April 21–23, 2026 | Series 2 (JAPAC): April 28–30, 2026
ADB-D Features
Infrastructure & Admin Updates
- Storage Scaling & Maintenance Visibility: Get much clearer insights into your ASM rebalance progress for Exadata VM Clusters while scaling storage. Plus, you can now use the
DB_NOTIFICATIONSview to track maintenance status notifications! View Maintenance Status Notifications - DBMS_DCAT Package Support: You can now easily connect your database to OCI Data Catalog to sync assets, create external tables, and seamlessly query object stores. DBMS_DCAT Package
- AWS Backup Destination: When running Oracle Database@AWS, you can now directly choose Autonomous Recovery Service as your recommended ACD backup destination. Create an Autonomous Container Database
Select AI & Generative AI Features
- Text Summarization: Generate text summaries natively directly from a prompt or URI! Generate a Summary with Select AI
- In-Database Translation: Seamlessly translate text across multiple languages using SQL or PL/SQL, powered by your AI provider. Translate Text with Select AI
- Smarter SQL Query Generation: Select AI now automatically feeds table comments, annotations, and foreign/referential key constraints into the LLM metadata to generate incredibly accurate queries and JOIN conditions. Improve SQL Generation with Constraints and Comments
- LLM Feedback Loop: You can now provide feedback on NL2SQL results directly via the SQL command line or PL/SQL to help boost query accuracy! Provide Feedback to Improve LLMs
- Custom Conversations: Keep your contexts cleanly separated! You can now create, update, and manage different conversational threads without crossing topics. Use and Customize Conversations
- Natural Language for Property Graphs: You can now graph structures and query SQL property graphs using natural language instead of manually writing complex
GRAPH_TABLEoperators. Select AI for Property Graphs - Select AI Agent Framework: We have a brand-new autonomous agent framework! You can now build agentic workflows where teams of agents reason, act, and collaborate using GenAI right inside the database. DBMS_CLOUD_AI_AGENT Package Reference
MySQL Updates: Events, Webinars, and Community
Where to meet the MySQL team (Events)
- DevopsDays Buenos Aires — April 9–10, 2026
- OSC Nagoya — April 29, 2026
- DevopsDays Nashville — May 14–15, 2026
Live webinars
- Troubleshooting Common MySQL Issues: Ask the Experts Live! — April 14, 2026. Register here
- MySQL Community Public Discussion (3rd edition) — April 21, 2026. Save the date
- Q&A with MySQL Experts — May 12, 2026. Register here
MySQL community blog posts (April reading list)
- Continued Momentum Leading up to MySQL Community Edition Release
- MySQL Early Access Release Builds: What to Test and How to Share Feedback
- Strengthening the MySQL Community: Highlights from the Second Public Discussion
A practical guide to Oracle Database high availability with Python
Use the python-oracledb driver to keep Python applications running during planned maintenance and unexpected database outages. Read more.
Whether you’re refining SQL with new filtering capabilities, exploring agentic workflows with Select AI, building ML solutions directly in the database, or engaging with the MySQL community, April’s Product Pulse is designed to help you turn updates into action—fast.
Have ideas, best practices, or feedback you’d like featured in a future Pulse? Join our ACE Community LinkedIn group and help shape what we spotlight next month.
