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2021 Gartner Magic Quadrant for Data Integration Tools

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  Strategic Planning Assumptions Through 2022, manual data management tasks will be reduced by 45% through the addition of machine learning and automated service-level management. By 2023, AI-enabled automation in data management and integration will reduce the need for IT specialists by 20%.  Read report >>>

Gartner - Critical Capabilities for Data Integration Tools 2020

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  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 su...

The Forrester Wave Big Data Fabric, Q2 2018

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Key Takeaways Talend, Denodo Technologies, Oracle, IBM, And Paxata Lead The Pack Forrester's research uncovered a market in which Talend, Denodo Technologies, Oracle, IBM, and Paxata are Leaders; Hortonworks, Cambridge Semantics, SAP, Trifacta, Cloudera, and Syncsort are Strong Performers; and Podium Data, TIBCO Software, Informatica, and Hitachi Vantara are Contenders. EA Pros Are Looking To Support Multiple Use Cases With Big Data Fabric The big data fabric market is growing because more EA pros see big data fabric as critical for their enterprise big data strategy. Scale, Performance, AI/Machine Learning, And Use-Case Support Are Key Differentiators The Leaders we identified support a broader set of use cases, enhanced AI and machine learning capabilities, and offer good scalability features. ...

The Forrester Big Data Fabric, Q4 2016

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The Forrester Wave™: Big Data Fabric, Q4 2016   Details >>   (the link provided by Informatica here )