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Transform Netezza to your target cloud stack

Simplify, accelerate, and de-risk your modernization journey with ML-based assessment and optimized conversion

Identify workloads for transformation, define a data-driven roadmap, optimize schema, and automate logic conversion to a cloud-based stack

This is how we make it simple

Automated legacy data warehouse inventory and profiling
Identify workloads (metadata, data, and code), dependencies
Create optimized schema for target platform (clustering keys, bucketing, partitioning strategy, parallel execution, etc.)
Group workloads into migration units

Up to 90% automated code conversion to the target of your choice
Automated data migration to optimized schema
Automated handling of data types, nested views, intervals, loops, UDFs, procedures, etc.
Create patterns/recipes for target platform
Auto-generate the recipes/patterns for newer migrations
Query editing for optimized fixes and performance tuning

Auto-generate validation/reconciliation scripts
Data validation at the minutest level
Custom query-based validation
Syntactical and data-based validation of converted logic and scripts

Enable execution through recipe/pattern orchestration/execution engine
Execution of the transformed logic on any standard cloud/modern data environment
Output artifacts: HQL/Spark SQL, Python/Scala/Java wrappers (like PySpark), Shell
Comprehensive reports

Your advantage — Our transformation experience with Netezza

US-based Fortune 500 mortgage lender sunsets Netezza and automates transformation to a cloud-based data lake

Realizes significant time and financial savings by reducing manual conversion efforts

Accelerate your journey from Netezza to a modern data platform

Learn how you can transform an EDW on Netezza to a modern open source platform automatically

Support your multi-cloud, cloud-to-cloud, and hybrid architecture strategy.
Pick your target environment.

AWS

Microsoft Azure

Google Cloud

Snowflake

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