Gartner Magic Quadrant for Data Integration Tools 2020

 "By 2023, organizations utilizing data fabrics to dynamically connect, optimize and automate data management processes will reduce time to integrated data delivery by 30%. Through 2025, over 80% of organizations will use more than one cloud service provider (CSP) for their data and analytics use cases, making it critical for them to prioritize an independent and CSP-neutral integration technology to avoid vendor lock-ins."

15th straight year, Informatica has been named a Leader in the Gartner Magic Quadrant for Data Integration Tools.

Informatica, IBM, SAP, Oracle, Talend, SAS and Denodo are the leaders in "Gartner Magic Quadrant for Data Integration Tools 2020"

Magic Quadrant for Data Quality Solutions 2020

 By 2022, 60% of organizations will leverage machine-learning-enabled data quality technology for suggestions to reduce manual tasks for data quality improvement.

Market Definition: The term “data quality” relates to the processes and technologies for identifying, understanding and correcting flaws in data that support effective data and analytics governance across operational business processes and decision making. The packaged solutions available include a range of critical functions, such as profiling, parsing, standardization, cleansing, matching, enrichment, monitoring and collaborating.

Informatica, IBM, SAP, SAS, Talend & Precisely are the leaders in "Magic Quadrant for Data Quality Solutions 2020".