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This paper has been superseded by Comparative costs and uses for Data Integration Platforms 4th Edition (January, 2019)

Comparative costs and uses for Data Integration Platforms in Agile Enterprises

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In 2014 Bloor Research surveyed users of data integration platforms to discover how they were using that technology and what their three-year cost of ownership was. Our analysis, based on nearly 300 completed questionnaires, concluded that Informatica’s data integration platform generally offered the best cost of ownership figures and, on average, it was the most widely deployable across a range of use cases, providing extensive reuse of skills, tools, and code.

In this paper we are revisiting those results, not because we have any reason to believe that the responses we received in 2014 are any less valid today, but because we think that there has been a shift in the market. In our survey we identifed a number of use cases, which organisations were using data integration platforms to support. However, over the last couple of years we have seen a shift towards a broader focus on data-driven enterprises, and we see data integration as a fundamental part of that. Data integration needs to be seen not merely as a tactical tool, which supports a single use case or implementation, but as a strategic foundation for today’s enterprise.

Data Integration should be at the heart of data architecture modernisation initiatives such as next generation analytics, application modernisation, total customer relationship, data governance and so on. As such, organisations should make sure that their data integration platform inherently provides the ability, scale and performance – not to mention flexibility and agility – to support multiple use cases across the organisation.

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