SAS® Data Integration recognized for completeness of vision and ability to execute.
Artificial intelligence (AI) holds much promise for its ability to autonomously analyze vast data volumes and uncover insights. The promise of AI can only become reality however if the data that feeds it is curated by a well-governed, comprehensive platform such as SAS® Data Management.
SAS believes its market advantage is confirmed by Gartner’s evaluation of SAS Data Management, a comprehensive solution that transforms, integrates, governs and secures data, while improving its overall quality and reliability. For the ninth consecutive year, SAS has been named a Leader in Gartner’s 2019 Magic Quadrant for Data Integration Tools.*
“The increasing emergence of AI and ML will drastically improve the integration of data across the data landscape,” says Kim Kaluba, Sr. Product Marketing Manager for SAS. “To get a full return on investment with AI, organizations need to start by putting a strong data management program in place to support it.”
“As organizations continue to leverage big data and data grows in complexity, the ability to orchestrate data becomes even more daunting. Data no longer resides inside of an organization - it is living in the cloud and across cloud platforms,” continues Kaluba. “The right data integration solution helps to break down data silos and address data problems while providing a vision for the future.”
SAS Data Integration products include SAS Data Management, SAS Data Integration Studio, SAS Federation Server, SAS/ACCESS, SAS Data Loader for Hadoop, SAS Data Preparation and SAS Event Stream Processing.
Leaders in the data integration tool market are front-runners in their capability to not only support a full range of data delivery styles but also allow for the combination of these different data delivery styles (e.g., data virtualization and ETL). In 2019, they have been advancing their metadata capabilities, with some introducing highly dynamic optimization and advanced design assistance functions. They have been extending their capabilities to allow for ML over active metadata, to assist developers with various degrees of support and automation in integration design and implementation.