DataMirror announced that the company's technology ranked as a strong performer in the report, Forrester Wave: How To Evaluate Enterprise ETL, published last week. DataMirror's solutions are fast, smart and affordable and were recognized for their high-performance, real-time information delivery and for providing an alternative to traditional batch-oriented ETL engines designed to load data at only one speed.
According to the report, the outlook for the future of enterprise ETL includes recognition that traditional ETL tools are not designed for real-time integration. A shift from batch-oriented integration to right-time information delivery is the next requirement. DataMirror has been providing organizations with real-time information integration for over ten years, allowing them to access live, accurate information to support better decision-making. Transformation Server supports the diverse needs of customers by offering both batch-mode and true real-time information integration, demonstrating the flexibility and versatility of the solution.
The report also cited DataMirror for being able to deliver large Enterprise configurations at moderate prices. DataMirror had one of the highest current offering scores based on price/performance ratio. DataMirror's strategy is to make true real-time ETL tools accessible to any organization with a need for continuous, accurate information.
Transformation Server was also recognized for its strengths outside traditional ETL solutions that are used as basic data warehousing support tools. In addition to data warehousing, companies are commonly using Transformation Server for business continuity, mainframe integration, corporate and regulatory compliance, Web services initiatives, and a range of other non-data warehousing uses on a variety of platforms.
DataMirror also ranked favorably for its partner strategy because of its range of system integrator partners, consulting firms, value added resellers, independent software vendors, infrastructure providers and regional partners.
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