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October 20, 2025
In today’s data-rich enterprise environment, the ability to access, query, and analyze data efficiently is no longer a luxury, it’s a competitive necessity. Yet many organizations still struggle with fragmented query logic, inconsistent governance, and escalating compute costs.
This whitepaper presents a generalized architecture for an Intelligent Query Engine, built on the Databricks Lakehouse Platform, designed to unify data access, optimize performance, and support both human users and digital agents across the enterprise.
A Query Engine is the central nervous system of enterprise analytics. It orchestrates how queries are processed, optimized, and executed across diverse data sources and applications. A modern query engine must:
Centralize query logic to eliminate redundancy
Optimize execution plans for performance and cost
Govern access and lineage for compliance and auditability
Support real-time and near-real-time querying
Enable intelligent interfaces for digital workers and natural language users
The proposed architecture harnesses the comprehensive capabilities of the Databricks Lakehouse Platform to deliver a modular, intelligent query engine.
Real-time access to governed data enables faster, more confident decisions
Centralized logic and caching reduce compute costs and maintenance overhead
Modular architecture supports evolving business needs and technology ecosystems
Designed to integrate with agentic platforms, digital workers, and intelligent automation
Serves diverse user personas—from data engineers to business analysts—with consistent performance and governance
The Unified Query Engine architecture powered by Databricks is more than a technical solution, it’s a strategic enabler. By abstracting and centralizing query logic, optimizing execution pathways, and enforcing governance, enterprises can unlock the full potential of their data assets while preparing for the future of intelligent, automated analytics.
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Sreejith Vadakara
Solution Architect, Data & Analytics
sreejith.vadakara@neudesic.com
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