Case Study: The ETL Tool achieves scalable, Hadoop-powered, extensible big-data ETL and user-friendly BI with Altoros

ETL Tool - Customer Case Study

The customer, the owner of a data-integration platform, needed to expand their analytics capabilities and migrate to a Hadoop-based architecture to process data faster and support multiple formats. They engaged Altoros to address a legacy architecture that prevented adding new functionality without a full rewrite and to enable secure, efficient ETL from sources including SQL, Excel, and social networks.

Altoros delivered a modern ETL tool built around an Extensions Framework, a WYSIWYG Microsoft-style UI, and a Hadoop/HBase backend (with Solr and denormalization for complex queries), enabling custom operators, cross-platform data flows, NoSQL compatibility and scheduled transformations. The result was a scalable, low-cost, extensible BI solution from Altoros that preserves document structure, accelerates processing versus the legacy platform, and makes deep analysis and migration of unstructured data straightforward.

ETL Tool