Modernizing Data.
Accelerating Innovation

Helping organizations modernize data, accelerate AI adoption, and unlock greater business value through intelligent automation.

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About the Partnership

Two leaders.
One unified path.

Databricks and Quadrant Technologies have partnered to deliver a complete, enterprise-grade migration experience. Databricks provides the world-leading unified data, analytics, and AI platform. Quadrant provides the engineering expertise and automation tooling to get organisations there — predictably, at scale, and with minimal risk.

Together, this partnership enables enterprises to transition from legacy data platforms to the Databricks Lakehouse with significantly lower effort, reduced operational cost, and faster time-to-value for analytics, AI, and machine learning initiatives.

Quadrant's Migration Platform

Introducing ConverIQ

ConverIQ is Quadrant's AI-powered migration and modernisation platform — purpose-built to automate every step of the enterprise Databricks migration journey. From automated assessment and intelligent code conversion to validation and governance, ConverIQ replaces manual effort with structured, repeatable automation.

Migration programs completed in

< 5 months

vs. 12+ months traditional approach

80–90%

Automated migration

99.9%

Validation accuracy

Platform Capabilities

Everything needed for a complete migration

01

Automated Assessment

Intelligent discovery of notebooks, jobs, pipelines, and Spark workloads — eliminating weeks of manual inventory effort.

02

Intelligent Code Conversion

SQL, ETL workflows, notebooks, and Spark workloads converted into Databricks-compatible assets with zero manual rewrite.

03

Dependency Mapping

Pipeline dependencies, job sequences, data flows, and execution conditions identified automatically to prevent migration surprises.

04

Automated Validation

Structural validation, data reconciliation, and logic consistency checks built into every migration run for near-zero errors.

05

Migration Governance

Real-time dashboards, audit reports, and end-to-end lifecycle tracking give teams complete visibility throughout.

06

Ready to start?

Get a personalised migration assessment from our Databricks-certified engineers.

Migration Process

A structured path to Databricks

1

Assessment

Automatically scans the source environment to identify workloads, dependencies, and migration readiness.

Automated workload inventory Dependency discovery Complexity analysis Migration recommendations
2

Planning

Migration teams review discovered assets, prioritise workloads, and define the migration scope.

Workload prioritisation Scope definition Timeline estimation Risk review
3

Conversion

Supported workloads are automatically converted into Databricks-compatible artifacts preserving business logic.

SQL conversion Notebook migration ETL transformation Cluster mapping
4

Validation

Automated validation and reconciliation verifies successful migration with full error reporting.

Structural validation Data reconciliation Logic consistency Exception reporting
5

Deployment

Migrated workloads are deployed into Databricks with complete reporting and operational visibility.

Live deployment Audit reports Migration logs Post-migration monitoring

Proven Outcomes

Results that speak for themselves

Across every engagement, ConverIQ consistently delivers measurable improvements in speed, cost, and data quality — with zero disruption to production systems.

Up to 80% automated SQL migration

Migration timelines cut from 12 months to under 5

1,000+ SQL procedures and ETL workflows converted

40–50% improvement in analytics query performance

30–40% reduction in overall migration costs

Foundation for enterprise AI and machine learning

Get Started

Ready to accelerate your Databricks journey?

Schedule a personalised assessment with our Databricks migration experts and discover how ConverIQ can reduce migration effort, lower costs, and accelerate your cloud transformation.

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