Session
Bridging Transactional Speed and Analytical Depth with AI/BI, Genies Lakebase & Databricks Apps
Overview
| Experience | In Person |
|---|---|
| Track | Application Development |
| Industry | Communications, Media & Entertainment, Consulting & Services, Financial Services |
| Technologies | Databricks Apps, Lakebase |
| Skill Level | Intermediate |
Discover how Databricks transformed a basic Gradio app into GTM Hub 2.0, an enterprise-grade platform serving 10,000+ global users (Sales, Marketing, XDR) with personalized insights.Core Architecture & Achievements:Databricks Apps (Enterprise Scale): Built a React/FastAPI application serving 10k+ concurrent users with <3s load times. Features include RBAC, multi-persona views, and seamless cross-origin embedding.AI/BI Dashboards: Embedded dynamic dashboards with global filters, bookmarkable states, and usage tracking for optimized analytics.Genie (Conversational AI): Integrated multi-agent support. A supervisor agent (via MLFlow) routes natural language queries across specialized spaces, eliminating the need for SQL.Lakebase (State Management): Leveraged PostgreSQL on Databricks to handle user preferences, session history, and caching for real-time personalization.The Result: A unified, modular analytics experience with robust telemetry and a future-proof architecture.
Session Speakers
Abhinav Bhatnagar
/Sr. Manager, GTM Analytics Engineering
Databricks
Wenwen Xie
/Specialist Solutions Architect
Databricks