MariaDB + GridGain: Powering Your Agentic AI Strategy

Webinar

The Unified Grounding Layer for Autonomous Reasoning at Extreme Scale.

As enterprises transition from simple AI chatbots to autonomous Agentic AI—systems that reason and act in real-time—traditional data layers are reaching a breaking point.

The industry has fallen into a "Lego block" trap. To build modern applications, developers are forced to manually stitch together disparate plugins for vector search, separate caching layers for speed, and fragmented cloud services for scale. The result? Infrastructure fragmentation, sub-optimal performance, and a "finger-pointing" support model that fails when you need it most.

There is a better way.

MariaDB is evolving. We have moved beyond our roots as a relational database to become a comprehensive enterprise platform designed for the high-scale demands of 2026. By integrating GridGain’s world-class in-memory computing and building vector search directly into our server core, we’ve eliminated the infrastructure "tax."

Whether you are migrating from legacy Oracle environments or building the next generation of serverless AI apps, your data layer should be your accelerator, not your bottleneck.

Join host Tracy Strauss (CMO, MariaDB) for a 30-minute interactive deep dive with Vikas Mathur (CPO) and Lalit Ahuja (VP & GM). Discover how this unified platform provides the sub-millisecond speed and extreme scale required to operationalize AI.

What You Will Learn:

• The "Agentic" Shift: Why the move from passive AI chatbots to autonomous agents requires a fundamental rethink of your data architecture.
  
  
• Eliminating the "Disk-Drive Tax": How integrating GridGain’s in-memory speed directly into MariaDB’s core delivers the sub-millisecond latency necessary for real-time AI reasoning.
  
  
• The Unified Advantage: Why an "all-in-one" platform provides superior performance and lower TCO compared to the fragmented "Lego block" approach of Postgres and legacy vendors.
  
  
• Operationalizing AI Grounding: Practical strategies for connecting AI models to high-velocity transactional data without compromising security or scale.
  
  
• The 2026 Vision: How MariaDB is evolving into a peer-level alternative to Oracle, Google, and Microsoft for the enterprise AI era.