Accelerate Data Lake Migration
From Legacy Platforms to Modern Analytics
Migrate legacy data lake environments with automation. Transform schemas, SQL workloads, metadata, and data pipelines into modern cloud-native data lake architectures optimized for analytics, governance, performance, and AI-driven innovation.
Move from Legacy Data Lakes to Cloud-Native Analytics Platforms
Automate the migration of legacy data lake platforms to modern cloud ecosystems. Convert data structures, processing frameworks, and analytics workloads while improving scalability, performance, governance, and operational efficiency.
Discover and assess legacy data lake environments:
Analyze data structures, metadata, ingestion frameworks, processing engines, dependencies, and governance requirements with automated discovery and impact assessment.
Migrate and modernize data lake workloads:
Automate the conversion of legacy data lake architectures, data pipelines, SQL workloads, and processing frameworks to modern cloud-native data lake platforms while preserving business logic.
Enable scalable analytics and AI innovation:
Build optimized, high-performance data lake environments that support real-time analytics, machine learning, AI initiatives, and enterprise-wide data access at scale.
Automated End-to-End Modernization Journey
Delivering faster time-to-value with lower risk
Automation-Led Modernization. End-to-End.
Powered by CRAWLER360, SHIFT, and TESTER, Next Pathway delivers fully automated, end-to-end data modernization.
Discover & Plan with Full Visibility
Automatically map your entire data estate: EDWs, ETL pipelines, dependencies, and embedded business logic. CRAWLER360 delivers deep lineage, complexity analysis, and a clear, risk-aware modernization roadmap in weeks, not months.
Translate & Modernize with Full Coverage
Convert legacy SQL, stored procedures, and ETL pipelines into optimized, BigQuery-native workloads. SHIFT automates code translation at scale while enabling targeted modernization, moving from legacy patterns to modular, cloud-native architectures.
Validate, Optimize & Cut Over with Confidence
Ensure production readiness with automated testing, reconciliation, and performance tuning. TESTER validates data accuracy and functional equivalence, reducing risk and accelerating a smooth, confident cutover.
Why Next Pathway?
The only platform purpose-built to modernize legacy data estates at enterprise scale with the speed and precision of a championship team.
100% Automation-First Platform
20+ Years of Legacy Expertise
100% End-to-End Ownership
Accelerate Your
Modernization Journey
Next Pathway's SHIFT automates the end-to-end modernization of legacy SQL, stored procedures, and ETL platforms to Snowflake, Databricks, Microsoft Fabric, and Google Cloud BigQuery with precision and speed.
Download our SHIFT modernization guide to learn how to:
Free Step-by-Step Guide
Accelerate your migration to the cloud with SHIFT. Learn how to modernize your legacy data warehouse with 95%+ automation.
What Industry Analysts Say
Rob Enderle
ENDERLE GROUP
Eric Kavanagh
THE BLOOR GROUP
Latest Insights on Modernization
Five Reasons why Next Pathway is Better than a Box of Consultants for Legacy Data Migration
Time-to-Snowflake: Why Speed Matters More Than Ever In The AI Era
Transform Legacy Complexity Into Actionable Intelligence
CRAWLER360 delivers a definitive blueprint of your data estate through automated discovery, dependency mapping, and AI-powered analysis.
What You'll Learn:
Download AI-Powered Migration Planning Guide
Assess readiness, identify dependencies, evaluate complexity, and create a data-driven roadmap for modernization.
