Sold by: NucleusTeq Inc.
TransformX – Data Platform Modernization by NucleusTeq is an automated platform that re-engineers legacy data platforms, ETL workflows, and databases into governed, AI-ready cloud architectures on AWS up to 8X faster. By providing 100% automated code conversion, dependency mapping, and continuous validation, it transforms legacy systems like Informatica, SSIS, Teradata, Oracle PL/SQL, and Hadoop into cloud-native AWS lakehouses. TransformX accelerates modernization timelines, eliminates manual rewrite risks, and cuts total migration costs by 40–70%.
Overview
Modernize platforms for scalability, performance, and agility. Legacy data warehouses, monolithic ETL pipelines, and outdated database workloads restrict operational agility, inflate maintenance costs, and delay enterprise AI adoption. TransformX – Data Platform Modernization by NucleusTeq automates the end-to-end re-engineering of legacy data estates into modern, cloud-native lakehouse architectures on AWS. Operating up to 8X faster than manual rewrites and cutting modernization costs by 40–70%, TransformX ingests complex legacy assets—including Informatica PowerCenter, SSIS, Teradata, Netezza, Oracle PL/SQL, and Hadoop HDFS—and re-architects them for elastic cloud performance. Automated Code Conversion, Lineage Discovery, and Zero-Defect Validation TransformX eliminates the risk of manual re-coding through automated schema conversion, direct logic translation into PySpark/SQL, and intelligent dependency mapping across pipelines. The platform conducts automated functional, semantic, and regression testing to reconcile target cloud outcomes against source system behavior at every stage. Enforcing 100% code accuracy, strict data governance, and automated regression suites, TransformX guarantees a zero-defect, zero-data-loss cutover so enterprise IT and data engineering teams can modernize without operational disruption. TransformX integrates natively with core AWS data and analytics infrastructure to output optimized cloud-native execution frameworks: AWS Services: AWS Glue and Amazon EMR (with Apache Spark/Airflow) for serverless and managed ETL/data orchestration; Amazon Redshift for enterprise cloud data warehousing; Amazon Simple Storage Service (Amazon S3) for scalable lakehouse storage; AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS) for database migration; and AWS Identity and Access Management (IAM) for unified governance. Third-Party Integrations: Direct targeting for modern cloud-native lakehouses provisioned on AWS, including Databricks on AWS (Delta Lake / Apache Iceberg) and Snowflake on AWS.
Highlights
- 1) Up to 8X Faster Modernization: Automates legacy ETL, database schema, and SQL pipeline conversion into cloud-native PySpark and SQL code. 2) 40–70% Lower Modernization Cost: Cuts engineering effort and eliminates manual re-coding delays with continuous pipeline reconciliation. 3) AI-Ready Cloud Foundations: Re-engineers legacy data into governed lakehouse architectures optimized for real-time analytics, ML, and enterprise GenAI.
Details
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Support
Vendor support
For support and inquiries regarding the TransformX – Data Platform Modernization please contact NucleusTeq team at marketing@nucleusteq.com . Additional information about NucleusTeq and their services is available at