Treasure Data Recognized in 2019 Gartner Magic Quadrant for Data Management Solutions for Analytics

Treasure Data Recognized in 2019 Gartner Magic Quadrant for Data Management Solutions for Analytics

News Highlights:

  • Treasure Data included in 2019 Gartner Data Management Solutions for Analytics Magic Quadrant for second time
  • Our enterprise Customer Data Platform was one of the 19 vendors Gartner evaluated based on completeness of vision and ability to execute in the DMSA market
  • 30 customers shared their use cases with Gartner as part of evaluation process

For the second year in a row, Treasure Data has been included in the Gartner Data Management Solution for Analytics Magic Quadrant. Gartner evaluated 19 vendors based on their completeness of vision and ability to execute, and our Customer Data Platform (CDP) was one of the selected few that were included.

Our vision from the very beginning at Treasure Data was to build a sophisticated cloud-based data management platform and we have never strayed from that core foundation. The Treasure Data platform was built on our data collection frameworks represented by Fluentd and our other open source data collector projects, such as Fluent-Bit and Embulk. We have continued to expand our features and capabilities enabling companies to swiftly and securely unify their customer data, analyze it, and make decisions to better run their businesses.

According to Gartner, “With leading vendors showing strong progress in areas where they were previously lacking, most Niche Players are doubling down on their core strengths.” We completely agree. Our focus on the CDP market has accelerated since getting acquired by Arm in August 2018. We have been given the resources to deliver on new features and further innovate our platform.

Data is growing faster than our ability to consume it, driven in large part by the growing amount of IoT device data. We believe one of our greatest strengths is being able to securely ingest IoT data from any connected device or machine, correlate data from multiple data sources and leverage AI/ML-powered insights to act on custom insights and applications.

Another strength we pride ourselves on is our strong relationship with our customers. With more than 350 companies trusting us around the world, our 365/24/7 customer support is a top priority. A big thank you to our customers, thirty of which spoke with Gartner directly sharing their unique use cases. If you would like to see more of what our customers have to say about working with Treasure Data, please visit Gartner Peer Insights. See our page on the status of a Gartner CDP Magic Quadrant.

*Gartner Magic Quadrant for Data Management Solutions for Analytics, Adam M. Ronthal, Roxane Edjlali, Rick Greenwald. 21 January 2019

Required Disclaimer:
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

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Kazuki Ohta
Kazuki Ohta
Kazuki Ohta is the CEO and co-founder of Treasure Data. He also founded the Japanese Hadoop User Group, the world’s largest such group. Kaz is an acknowledged expert on distributed and parallel computing, and combines his knowledge of these technologies and Hadoop with the conviction that the service model is the only way to bring big data analytics to the mass market.
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