TradeDoubler

Introduction

TradeDoubler, a global leader in performance marketing, needed a flexible and powerful data integration platform to support diverse workloads across its regional European branches. Each branch required the ability to manage its own workflows—ranging from high-volume processing of XML and flat files to loading structured data into Amazon Redshift for analytics. Etlworks delivered the ideal solution with its multi-tenant architecture, extensive connector library, and enterprise-grade reliability.

The Challenge

TradeDoubler faced several key challenges:

• Complex Workloads Across Regions: Each regional branch operated its own set of data pipelines, tailored to specific local systems, formats, and compliance requirements.

• File-Based Processing at Scale: Large volumes of XML and flat files needed to be parsed, transformed, and routed reliably on a daily basis.

• Centralized Analytics in Redshift: Aggregated data from multiple sources needed to be loaded into Amazon Redshift for global reporting and insights.

• Tenant Isolation: A single platform had to support separate tenants for each regional branch without compromising data isolation or performance.

Legacy ETL solutions either lacked the flexibility to support this architecture or required costly customization. TradeDoubler needed a platform that could meet the unique needs of each branch while scaling globally.

Why Etlworks

TradeDoubler selected Etlworks for its ability to handle decentralized workloads within a centralized platform:

• Multi-Tenant Architecture: Each regional branch operates as a separate tenant within Etlworks, allowing teams to manage their own connections, flows, and schedules independently.

• Powerful File Processing: Etlworks excels at parsing, transforming, and validating large XML and flat file datasets using a visual pipeline editor or custom scripts.

• Redshift Integration: Seamless bulk and incremental load capabilities into Amazon Redshift using Etlworks’ native connector and CDC support.

• Flexible Deployment: The platform supports cloud and hybrid deployments, giving TradeDoubler the ability to run critical workloads close to their data.

The Solution

Etlworks empowered TradeDoubler to implement an agile, decentralized integration strategy:

• Regional Workflows: Each European branch runs its own set of flows for ingesting files, transforming data, and syncing with internal systems.

• Cross-System Integration: Etlworks consolidates data from FTP, SFTP, databases, APIs, and other sources, transforming it into Redshift-compatible formats.

• Scalable Redshift Pipelines: Automated batch and near real-time flows push data into Redshift, enabling centralized analytics with minimal latency.

• Tenant Control: Admins maintain central visibility and control, while regional users operate within secure, isolated environments.

Key Takeaways

• Decentralized Control: Regional teams manage their own workflows using Etlworks’ tenant model.

• Robust File Handling: XML and flat file pipelines process high volumes of data reliably and efficiently.

• Redshift Integration: Seamless data loading supports centralized analytics without custom development.

• Scalable and Secure: Etlworks delivers the flexibility of local control with the benefits of a unified platform.

Ready to tackle your most complex data challenges? Discover how Etlworks can transform your data integration workflows. Start your free trial today or request a demo.