Accelerate Hadoop Modernization
From Legacy to AI Readiness
Transform Hadoop workloads with automation that converts legacy Hive, Spark, MapReduce, and data processing frameworks into scalable, cloud-native data platforms built for analytics, real-time insights, and AI.
From Hadoop Complexity to Business Outcomes
Modernizing Hadoop isn't just about moving workloads. It's about unlocking value. Next Pathway combines deep Hadoop expertise with automation to accelerate migration, reduce risk, and deliver cloud-native data platforms.
Discover and assess your Hadoop environment:
Inventory Hadoop clusters, Hive tables, Spark jobs, MapReduce workloads, HDFS assets, and dependencies with automated discovery and impact analysis.
Automate Hadoop code and workload transformation:
Translate Hive, Spark, MapReduce, Pig, and Hadoop-based data processing workloads into modern cloud-native architectures with high automation and accuracy.
Accelerate analytics, AI, and cloud value:
Deploy optimized workloads validated for production readiness to enable faster analytics, lower operating costs, improved scalability, and AI-driven innovation.
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, Databricks-native workloads. SHIFT automates code translation at scale while enabling targeted modernization, moving from legacy patterns to modular, lakehouse-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 automation platform handles the complete modernization of your data estate, from deep discovery to fully validated Databricks workloads.
Download our Databricks modernization checklist to learn how to:
Free Step-by-Step Databricks Data Migration Checklist
Download a step-by-step checklist to migrate data warehouses, ETL pipelines, and analytics workloads to Databricks with reduced risk and improved efficiency.
What Industry Analysts Say
Rob Enderle
ENDERLE GROUP
Eric Kavanagh
THE BLOOR GROUP
Databricks Migration Resources
Google Cloud Platform Data Migration Checklist
A step-by-step checklist for enterprises to ensure a smooth migration to Google Cloud Platform.
Latest Migration Case Studies
Hadoop, Oracle, & Informatica to Microsoft Azure
Latest Insights on Modernization
Your Data is Your Strategy: Why the Best AI Strategy is a Modernization Strategy
The Translation Mandate: Why Automated Code Conversion Is the Engine of Enterprise Modernisation
Get Your Cloud Migration Checklist
Download our comprehensive guide covering best practices, automation frameworks, and proven strategies for enterprise Databricks modernization.
What You'll Learn:
Free Step-by-Step Cloud Migration Checklist
Get a step-by-step checklist to streamline your cloud migration journey. Cover assessment, planning, modernization, validation, and deployment to reduce risk and accelerate success.
