Matillion, a leading productivity platform empowering data teams, has been recognized as a Challenger in the 2023 Gartner® Magic Quadrant™ for Data Integration Tools.
“We are thrilled to see Matillion’s recognition as a Challenger in the 2023 Gartner Magic Quadrant™ for Data Integration Tools,” said Matthew Scullion, CEO, Matillion. “We believe this recognition validates our mission to make the world’s data useful with a platform that is empowering data teams to be more productive by helping them to deliver quality, business-ready data quickly and reliably.”
The Gartner Magic Quadrant™ offer visual snapshots, in-depth analyses and actionable advice that provide insight into a market’s direction, maturity and participants. Magic Quadrants compare vendors based on Gartner’s standard criteria and methodology. Each report comes with a Magic Quadrant graphic that depicts a market using a two-dimensional matrix that evaluates vendors based on their Completeness of Vision and Ability to Execute.
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The report further notes that the data integration tools market is seeing renewed momentum driven by requirements for multicloud and hybrid data integration and data fabric design patterns.
“We see huge potential for data integration to unlock business value at far greater speed and scale and are committed to equipping our customers with the tools they need to boost the productivity of their data teams, achieve outstanding results, and elevate customer experiences,” Scullion said.
In today’s landscape, the value of data to the business can become limited by the data team’s ability to integrate data—and build, deploy and manage pipelines—at the required speed and scale. Matillion was designed to address this challenge, providing a suite of combined capabilities to help coders and non-coders alike move, transform and orchestrate data with greater velocity and efficiency. Low or now-code tools enable even non-coders to build robust data pipelines in minutes, and businesses can easily scale users and projects to help everyone be more productive with data at every level of the business.
SOURCE: PRNewswire