The latest Gartner Magic Quadrant for Cloud Database Management Systems has just been released, and IBM is thrilled to be recognized as a Leader.

In our opinion, this recognition affirms IBM’s continued global leadership, strength, and decades of experience in providing world-class database management systems for our customers. Gartner has previously stated that cloud is the future of database management systems – and we at IBM agree. We believe our portfolio of feature-rich, enterprise-tested offerings, bold acquisitions, and partnerships enable our clients to address the unique needs of their business to drive success.

IBM Cloud offers an extensive array of fully managed database-as-a-service (DBaaS) offerings that span the needs of every business — large and small. We provide easy-to-use data services, built to take advantage of the elasticity and flexibility of the IBM Cloud. Our commercial and open source databases support any data you bring to IBM Cloud: structured, unstructured, SQL, NoSQL, event, IoT, blockchain, and data lake. Our data services are underpinned with a design philosophy of global hybrid cloud scale, enterprise security, and deep integration into the Cloud platform. Whether it’s popular relational database engines like Db2, Db2 Warehouse, and PostgreSQL or non-relational engines like Cloudant, MongoDB, and DataStax, we offer multiple data technologies to help reach your cloud native development, application modernization, and business transformation goals. And it’s exactly why businesses like American Airlines, Harry Rosen, Etihad Airways, and many enterprises have partnered with IBM to drive innovation and provide value to their own customers.

IBM’s extensive and ongoing investment in delivering rich AI capabilities via the Db2 database engine and our IBM Cloud Pak® for Data platform provides significant value to our clients. Inside the Db2 engine, we leverage an advanced ML (machine learning) optimizer to deliver faster query performance. Our Db2 services also provide a rich library of ML functions that our users can leverage to quickly generate and evaluate ML models and run predictions right inside the engine, without ever moving the data. And, when coupled with Watson Studio and Watson Knowledge Catalog inside our Cloud Pak for Data platform, our customers have the best-in-class data science IDE and database.

Finally, IBM Cloud Pak for Data is designed to give customers choice by enabling them to deploy IBM’s offerings on their vendors of choice. Our approach to hybrid cloud and AI is founded on the principle that there is no AI without information architecture; the integration of our database management system portfolio with our AI and hybrid cloud is the manifestation of this principle.

The tools and capabilities are fully containerized and run on Red Hat OpenShift to enable businesses to run their applications and workloads wherever they want, on whatever cloud. It’s great to see Gartner recognize the value that our clients can leverage from this approach.

Learn more about Gartner’s decision to name IBM a Leader by reading the full Gartner Magic Quadrant for Cloud Database Management Systems.

You can also dive deeper into some of the products mentioned above by visiting the following:

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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