The data integration tool market has established a focus on transformational technologies and approaches demanded by data and analytics leaders. The presence of legacy, resilient systems and innovation all in the market together requires robust, consistent delivery of highly developed practices.
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Magic Quadrant for Data Integration Tools
Published: 03 August 2017
ID: G00314940
Analyst(s): Mark A. Beyer, Eric Thoo, Mei Yang Selvage, Ehtisham Zaidi
Summary
The data integration tool market has established a focus on transformational technologies and
approaches demanded by data and analytics leaders. The presence of legacy, resilient systems
and innovation all in the market together requires robust, consistent delivery of highly developed
practices.
Market Definition/Description
The market for data integration tools includes vendors that offer software products to enable the
construction and implementation of data access and data delivery infrastructure for a variety of
data integration scenarios. These include:
Data acquisition for business intelligence (BI), analytics and data warehousing — Extracting
data from operational systems, transforming and merging that data, and delivering it to
integrated data structures for analytics purposes. The variety of data and context for analytics
is expanding as emergent environments — such as nonrelational and Hadoop distributions for
supporting discovery, predictive modeling, in-memory DBMSs, logical data warehouse
architectures and end-user capability to integrate data (as part of data preparation) —
increasingly become part of the information infrastructure. With the increased demand to
integrate machine data and support Internet of Things (IoT) and digital business ecosystem
needs for analytics, data integration challenges intensify.
Sourcing and delivery of application and master data in support of application data
management and master data management (MDM) — Enabling the connectivity and
integration of the data representing critical business entities such as customers, products and
employees. Data integration tools can be used to build the data access and synchronization
processes to support application data management and also MDM initiatives.
Data consistency between operational applications — Data