Modernize Legacy Data Platforms with QShift

Don't let complex data migrations derail your innovation roadmap. QShift deploys specialized autonomous AI agents to automate legacy platform transitions, reducing project timelines by up to 30% while optimizing your total cost of ownership.

Supported Sources

Target Cloud Foundations

30% Lower Development Effort in Domo to Microsoft Fabric Migration

Accelerating Enterprise BI Migration_ Domo to Microsoft Fabric

A leading North American chemical manufacturer modernized its entire analytics stack using the QShift accelerator, combining agentic automation with confidence-based human validation. The transition preserved 100% of business logic while establishing a scalable, governed analytics foundation.

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De-risk Your Migration with QShift

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QShift gives engineering teams total command over complex platform migrations. From metadata ingestion and validation to migration execution, the platform helps make every step more structured, efficient, and reliable.

The QShift Advantage

70% Automated Transition

Bypass manual rebuilds by deploying autonomous AI agents to convert legacy visual reports, custom business logic, and security configurations directly into clean, cloud-native code.

Human-in-the-Loop Validation

Maintain engineering oversight at critical automation checkpoints, ensuring complex business rules are mapped flawlessly.

30–60% TCO Cuts

Eliminate expensive proprietary licensing and operational bloat while deploying continuous FinOps right-sizing to maximize ROI.

Scale for Next-Gen AI Workloads

Transition to a high-performance, open data foundation optimized to seamlessly support predictive, prescriptive, and agentic AI workloads.

Core Modernization Use Cases

Legacy Data Warehouse Migration

Re-architect legacy appliances and databases (Teradata, Exadata, Netezza) directly into open lakehouses like Databricks or Microsoft Fabric while preserving historical schemas, stored procedures, and data models.

BI & Dashboard Translation

Automate the conversion of proprietary, high-cost reporting environments (Domo, Tableau, Qlik) into unified visualization platforms like Power BI, Looker, or cloud-native BI suites without losing custom visual layouts.

Automated Logic & Pipeline Refactoring

Extract complex business logic, custom scripts, and legacy ETL workflows (Talend, Hadoop) and automatically translate them into optimized, cloud-native SQL, PySpark, or native orchestrations.

Unified Semantic Layer & Governance

Establish a single, standardized metadata layer across your analytical endpoints to enforce consistent access controls, automated data quality validation, and end-to-end lineage tracking post-migration.

In the Spotlight

Academic Medical Centers

Cloud Modernization of Enterprise Data Platform

case study

60% Faster Analytics for U.S. Hospital Chain

Discover how an academic medical center cut report latency from 45 minutes to under 5 minutes and increased productivity.

Discount Store

Modernizing Retail Operations Through Cloud & AI-Ready Architecture

case study

Slashing Retail Data Overhead with Databricks Lake

A top American closeout retailer consolidated legacy enterprise systems into a Databricks data lake, enabling real-time analytics with 40% less manual effort.