We’re incredibly excited and honored to announce that Dataiku has been named as a “visionary” in the Gartner 2017 Magic Quadrant for Data Science Platforms!
It feels especially fitting since we believe this position epitomizes our mission to redefine and improve how organizations and teams work with data in this ever-changing environment. If you’ve ever checked out our story, you know that Dataiku means a single flow: straightforward, yet structured; simple, yet complete. You’ll also note that one of our company values is being collaborative and team-oriented. This isn’t just something we do here in the office; it extends to our product as well.
Since the beginning, Dataiku has empowered all the members of data teams (from beginner business analysts to advanced data scientists) to build data science solutions collaboratively and in environments that allow them to work most effectively. We truly believe that for data teams to scale and be successful in the future, they will need to find a way for everyone to work together.
So where do we go from here? Well, for starters, we’re getting ready to release the latest version of Dataiku Data Science Studio (DSS) - here’s a video that contains a little sneak peek at some of the new features coming up related to our Spark integration. There are plenty of other exciting updates in Dataiku 4.0 that we can’t wait to share with you, so stay tuned.
Aside from our development team keeping very busy making improvements and releasing cool new features, we’ll also be traveling all over the world meeting data lovers at events big and small. You can find out where we’ll be in 2017 on our Events page - come by and see us! We’re always happy to talk to you about what you do, what you’re working on, your challenges, and how Dataiku might help.
To learn more about the analytics and data science landscape as a whole for the coming year and why Gartner placed Dataiku with the highest execution in vision, grab a complimentary copy of the 2017 Magic Quadrant for Data Science Platforms.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Dataiku.
Gartner, Inc., Magic Quadrant for Data Science Platforms, Alexander Linden, Peter Krensky, Jim Hare, Carlie J. Idoine, Svetlana Sicular, Shubhangi Vashisth, 14 February 2017.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
©2017 GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. All rights reserved.