Gartner - Critical Capabilities for Data Integration Tools 2020

 

Data integration tools address a wide range of use cases that rely on key data delivery capabilities. This research helps data and analytics leaders identify vendors’ relative strengths across these capabilities and select the right tool in support of their data management solutions.

Key Findings

  • All data integration tool vendors were rated as “meeting/exceeding expectations” for their support for bulk/batch data movement and streaming data integration. However, support for other data delivery styles (data virtualization and data replication, for example) is less consistently delivered across the range of products evaluated.
  • Active metadata is now critical as organizations continue to focus on metadata-driven optimization and automation of integration flows. The cohort of products in this evaluation averaged 3.3 out of a possible 5.0. While adequate, these capabilities must improve.
  • Data virtualization has become less prominent as a data integration delivery style, with 30% of survey respondents reporting using it in 2020, down from 40% in 2019.
  • More products offering data migration and consolidation are entering the market, targeting cloud migration scenarios. All products for this critical capability meet or exceed expectations, complicating vendor and product selection for end users.
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