Talend is a Gartner Magic Quadrant Leader for data integration tools
Talend, a global data integration and data management provider, has been named by Gartner as a Leader in the August 2022 Gartner Magic Quadrant for Data Integration Tools. This is the 7th consecutive time that Talend has been positioned in the Leaders quadrant based on the company’s ability to execute and completeness of vision.
Gartner defines data integration as the discipline comprising the architectural patterns, methodologies, and tools that allow organisations to achieve consistent access and delivery of data across a wide spectrum of data sources and data types to meet the data consumption requirements of business applications and end users. Data integration tools enable organisations to access, integrate, transform, process, and move data spanning various endpoints and across any infrastructure to support their data integration use cases.
“We believe that our recognition for the seventh consecutive year as a Leader validates the strategic importance and value Talend continues to provide for businesses, especially in times of economic uncertainty,” said Jamie Fiorda, CMO, Talend.
“Healthy data can determine the success or failure of any initiative involving data, including analytics, cloud modernisation, operationalisation of data, or data governance. Businesses need proven solutions like Talend to enable data health and deliver meaningful business outcomes.”
In the report, Gartner noted, “Through 2024, manual data integration tasks will be reduced by up to 50% through the adoption of data fabric design patterns that support augmented data integration.” Additionally, Gartner stated that “By 2024, AI-enabled augmented data management and integration will reduce the need for IT specialists by up to 30%.”
Talend’s cloud-independent unified data integration and management solutions ensure businesses become data-driven by achieving organisation-wide data health, the company said. Talend Data Fabric is an end-to-end data integration platform that simplifies all aspects of working with trusted data for analysis and use, driving critical business outcomes.
Explore
Comments
Post a Comment