All your data. From everywhere. To anywhere.
With the ever-changing cloud and technology landscape, it can be challenging to find the right data solution. The 2022 Gartner Magic Quadrant for Data Integration Tools can help. Get a quick view of the entire landscape, easily compare tools, and see how they align to the Gartner criteria for Completeness of Vision and Ability to Execute.
Explore the market for yourself.
Qlik’s Data Integration solutions vastly accelerate the discovery and availability of real-time, analytics-ready data by automating streaming, refinement, cataloguing, and publishing. No matter which data sources, cloud targets, or analytics platform you have, Qlik is agnostic and delivers:
Continuously deliver the latest data from across a wide range of systems.
Automate data warehouses and lakes to deliver analytics-ready data that triggers immediate action.
Ensure all data is accurate, secure, and cataloged – from ingestion through publishing.
Gartner, a company that delivers actionable, objective insight to its executive and their teams, publishes this report every year to provide guidance into the trends and vendors of the data integration market. It includes a two-dimensional matrix plus thorough analyses and advice from industry experts and reviews of DI tools by real users.
The 2022 Gartner Magic Quadrant for Data Integration Tools report will help you evaluate and select the right data integration tool. The report can help you define your needs, determine which DI tools to consider, and understand how each vendor’s capabilities align with your needs.
The Gartner Magic Quadrant gives you a simple visualization which charts how each vendor performs on two criteria: Ability to Execute and Completeness of Vision. This makes it easy for you to quickly see how each competitor is performing against a standard criterion.
2022 Gartner® Magic Quadrant™ for Data Integration Tools. Ehtisham Zaidi, Sharat Menon, Robert Thanaraj, Nina Showel . 17 August 2022
Named as Attunity in 2016-2018, Qlik (Attunity) in 2019.
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