Wavicle EZConvertETL is purpose-built to shift legacy ETL into the Databricks Intelligence Platform, giving you a unified, open data foundation that supports scalable analytics, easy governance, and future-proof data engineering.
How Wavicle’s EZConvertETL works
Wavicle EZConvertETL follows a structured, automated approach to assess, convert, and validate legacy ETL pipelines on Databricks with speed and confidence.
Run Analyzer
Scans legacy ETL code, dependencies, and platform-specific constructs automatically.
Get Complexity Report
Generates detailed effort, risk, and compatibility insights specific for Databricks migration.
Review The Estimate
Provides migration timelines, effort sizing, and optimization opportunities upfront.
Select Jobs To Convert
Choose pipelines based on priority, complexity, and business impact.
Execute The Converter
Automatically converts jobs into PySpark, Lakeflow, and Delta-optimized pipelines.
Validate In Target ETL Tool/Framework
Runs automated testing, reconciliation, and performance validation on Databricks.
Benefits for your teams
Data engineering
Accelerate ETL modernization with automated code conversion, reduced rework, and Databricks-optimized pipelines.
Platform & cloud teams
Standardize pipelines on the Databricks Lakehouse with improved performance, governance, and cost efficiency.
Analytics & BI teams
Access cleaner, faster, and more reliable data for downstream analytics and reporting.
Business & IT leaders
Increase confidence in ETL modernization initiatives with faster timelines and lower execution risk.
Proven accuracy and performance gains
80%faster migration vs manual processes
50%+ of cost savings in migration and maintenance
Lower risk through automated conversion, testing, and validation
Ready to modernize your ETL workflow?
Modernize legacy ETL pipelines on Databricks faster, with reduced migration risk and greater operational confidence.
