Making Sense of the 2018 Gartner Magic Quadrant for Data Integration Tools

Making Sense of the 2018 Gartner Magic Quadrant for Data Integration Tools

It’s an exciting time to be part of the data market.  Never before have we seen so much innovation and change in a market, especially in the areas of cloud, big data, machine learning and real-time data streaming.  With all of this market innovation, we are especially proud that Talend was recognized by Gartner as a leader for the third time in a row in their 2018 Gartner Magic Quadrant for Data Integration Tools and remains the only open source vendor in the leaders quadrant.

According to Gartner’s updated forecast for the Enterprise Infrastructure Software market, data integration and data quality tools are the fastest growing sub-segment, growing at 8.6%. Talend is rapidly taking market share in the space with a 2017 growth rate of 40%, more than 4.5 times faster than the overall market.

The Data Integration Market: 2015 vs. 2018

Making the move from challengers to market leaders from 2015 to today was no easy feat for an emerging leader in cloud and big data integration. It takes a long time to build a sizeable base of trained and skilled users while maturing product stability, support and upgrade experiences. 

While Talend still has room to improve, it’s exciting recognition of all the investments Talend has made to see our score improve like that.

Today’s Outlook in the Gartner Magic Quadrant

Mark Byer, Eric Thoo, and Etisham Zaidi are not afraid to change things up in the Gartner Magic Quadrant as the market changes, and their 2018 report is proof of that.  Overall, Gartner continued to raise their expectations for the cloud, big data, machine learning, IoT and more.  If you read each vendor’s write up carefully and take close notes, as I did, you start to see some patterns. 

In my opinion, the latest report from Gartner indicates that in general, you have to pick your poison, you can have a point solution with less mature products and support and a very limited base of trained users in the market, or go with a vendor that has product breadth, maturity and a large base of trained users, but with expensive, complex and hard to deploy solutions.

Talend’s Take on the 2018 Gartner Magic Quadrant for Data Integration Tools

In our minds, this has left a really compelling spot in the market for Talend as the leader in the new cloud and big data use cases that are increasingly becoming the mainstream market needs. For the last 10+ years, we’ve been on a mission to help our customers liberate their data. As data volumes continue to grow exponentially along with growth in business users needing access to that data, this mission has never been more important. This means continuing to invest in our native architecture to enable customers to be the first to adopt new cutting-edge technologies like serverless, containers which significantly reduce total cost of ownership and can run on any cloud.

Talend also strongly believes that data must become a team sport for businesses to win, which is why governed self-service data access tools like Talend Data Preparation and Talend Data Streams are such important investments for Talend.  It’s because of investments like these that we believe Talend will quickly become the overall market leader in data integration and data quality. As I said at the beginning of the blog, our evolution has been a journey and we invite you to come along with us. I encourage you to download a copy of the report,  try Talend for yourself and become part of the community.

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. 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. 
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