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Data integration (DI) tools free up developer resources by automating manual coding to bring together multiple, disparate data sources. This research will help you:

  • Understand what's new in the data integration tools market.
  • Evaluate data integration vendors and products for your enterprise needs.
  • Determine which products are most appropriate for particular use cases and scenarios.

Today's platforms don’t solely perform ETL anymore. Many vendors are incorporating a mix of data management technologies such as data quality and profiling, metadata management, and data governance into their DI tools as they move their solutions towards a single unified platform. These solutions are also able to bring integration capabilities to different environments, particularly big data infrastructure like Hadoop, and ramp up performance to scale with the increases in data volume, velocity, and variety.

Solution Set Steps

  1. Evaluate the leading solutions for data integration
    • Data Integration Tools Vendor Landscape Storyboard
  2. Identify the data integration solution that best meets your needs
  3. Issue an RFP to the shortlist of vendors
  4. Review RFP winners


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Data Integration Tools Vendor Landscape Storyboard - Sample
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