GenevaERS
| Company type | Software |
|---|---|
| Industry | Enterprise software, Business intelligence |
| Founder | PricewaterhouseCoopers Consulting |
| Fate | Acquired by IBM in 2002 |
| Successor | IBM Scalable Architecture for Financial Reporting (SAFR) |
Area served | Enterprise customers using IBM mainframe systems, especially in insurance and financial industries |
| Products | Enterprise reporting, data warehousing, ETL, business intelligence software |
| Owner | IBM (since 2002) |
| Website | www |
GenevaERS is an enterprise-level reporting solution designed to operate within the IBM mainframe z/OS platform. It was introduced before technologies like MapReduce and Apache Spark and shares functional similarities with them. Its primary applications include data warehousing, ETL processes, reporting, and software development, supporting business frameworks based on William McCarthy's Resources, Events, Agents model.
Originally created by PricewaterhouseCoopers Consulting, GenevaERS became an IBM product following IBM's acquisition of PwC Consulting in 2002. IBM rebranded the system as the Scalable Architecture for Financial Reporting (SAFR) and offers it through IBM Global Services, often bundled with tailored customer services. This solution addresses complex business intelligence requirements for extensive operational databases, particularly in insurance and financial industries. It enjoys widespread use among SAP and other ERP clients with significant reporting needs. Although marketed under the SAFR name, GenevaERS extends its utility beyond financial sectors. In July 2020, IBM contributed the SAFR source code to the Linux Foundation's Open Mainframe Project.
GenevaERS utilizes a "single pass" input/output strategy that takes advantage of IBM mainframe parallel processing capabilities to produce multiple reports simultaneously. It is designed for CPU efficiency by compiling report queries into optimized IBM Z assembler code. Typically, reports are executed daily within batch processing windows but can be run at any time without interfering with online transaction workloads. The commercial IBM SAFR edition incorporates to boost performance further.
Additional performance enhancements include in-memory join operations—either directly or through Common Key Buffer joins for large dimension tables—process piping, and Extract-Phrase Record Aggregation for real-time data summarization. While GenevaERS can access diverse mainframe data repositories such as Db2 and VSAM, its peak efficiency is achieved when working with sequential files. Processing units called VIEWSs may run concurrently during a single data pass and are defined using a graphical tool known as the Workbench.