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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.

Google BigQuery

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

Discovery
Translation
Optimization
Validation
Cutover
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
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
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
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.

Next Pathway

100% Automation-First Platform

Eliminate 100% of manual effort with AI-powered discovery, translation, and validation across your entire data estate, delivering at a pace manual efforts can't match.

20+ Years of Legacy Expertise

Two decades of experience migrating from Teradata, Oracle, Netezza, DataStage, Informatica, and more, proven at scale across global enterprises.

100% End-to-End Ownership

Complete accountability from discovery through cutover, delivering production-ready, fully validated workloads you can trust from day one.

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:

Translate legacy SQL, stored procedures, and ETL workloads automatically
Accelerate AI-ready data estate transformation with GenAI-powered precision
Eliminate manual intervention through automated code translation
Modernize complex data workloads with 100% functional execution
Shift Guide

What Industry Analysts Say

Image (Rob Enderle)
Rob Enderle

ENDERLE GROUP

"Next Pathway is providing a solution that accelerates the migration process, giving organizations a faster route to realizing value from their data."
Eric Kavanagh
Eric Kavanagh

THE BLOOR GROUP

"SHIFT Cloud enables a remarkably swift and robust transition from traditional data warehousing to the cloud."

Google BigQuery Migration Resources

IBM Cloud Migration Checklist
IBM Cloud Migration Checklist

Fully plan and migrate to IBM Cloud with our checklist.

Snowflake Migration Checklist
Snowflake Migration Checklist

Ensure that your migration to Snowflake goes smoothly.

Amazon Redshift Migration Checklist
Amazon Redshift Migration Checklist

Prepare and plan for your migration to Amazon Redshift.

Latest Migration Case Studies

Netezza to Snowflake
Netezza to Snowflake
Fortune 500 Financial Firm Migrates Netezza to Snowflake.
DataStage Pipelines to Microsoft Azure
DataStage Pipelines to Microsoft Azure
National Utility Migrates DataStage Pipelines to Microsoft Azure.
Azure Synapse and ADF to Snowflake
Azure Synapse and ADF to Snowflake

British Asset Management Firm Migrates to Snowflake.

Latest Insights on Modernization

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:

Create a complete inventory of ETL pipelines, SQL objects, schedulers, and BI reports
Visualize end-to-end data and control flows across your enterprise ecosystem
Identify migration complexity with AI-driven workload scoring
Detect dormant code and inactive pipelines to reduce future cloud costs
Crawler Cover

Start Your Data Lake Modernization

Thinking beyond migration? 
We help you modernize your data platform, end to end.

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