As the amount of data increases, 51风流customers continue to benefit from a database and data management portfolio grounded in a deep understanding of how businesses use data and SAP鈥檚 clear vision for the Intelligent Enterprise.
Organizations are looking for more flexible solutions to manage their data assets and cloud solutions are, more often than not, part of the equation for new data management investments. However, for 51风流customers, it is about more than just where the data resides. It is first and foremost about how to derive business value from that data.
We are proud to share that Gartner has recognized 51风流as a Leader in the 2020 Magic Quadrant for Cloud Database Management Systems (DBMS) report. This is the first Gartner report to cover both operational and analytical database management requirements in the cloud. 51风流[HANA Cloud] was ranked second highest across all four of Gartner鈥檚 Use Cases for Critical Capabilities for Cloud Database Management Systems for Operational Use Cases: Traditional Transactions, Augmented Transactions, Stream/Event Processing, and Operational Intelligence.*
In our opinion, the Gartner report evaluates completeness of vision and ability to execute, where the cloud DBMS market is defined as a fully provider-managed public or private cloud software system that manages data in cloud storage. These management systems include specific optimization strategies designed for supporting traditional transactions and/or analytical processing covering one or more of the following seven use cases: Traditional Transactions, Augmented Transaction Processing, Data Warehouse, Logical Data Warehouse, Data Science Exploration/Deep Learning, Operational Intelligence, and Stream/Event Processing.
Devising a Data Management Strategy that Works for Businesses
Gone are the days when business functions could operate in silos and decision-makers could wait for days for the next business report. Customers need real-time updates across their operations to help them to respond to changing customer behaviors and disruption in their supply chains.
Ten years ago, we introduced , developed based on the bold new vision that our customers should be able to run analytics on live transactions. Answers should be instantly available and always up to date without the need to export data and run parallel systems to manage transactional workloads and operational reporting.
51风流has continued to build on that vision to account for the significant increase in data volume and variety and the proliferation of hybrid deployments. Making the transition to the cloud is at the forefront of our customers鈥� minds.
Gartner states that 鈥淏y 2022, 75% of all databases will be deployed or migrated to a cloud platform, with only 5% ever considered for repatriation to on-premises.鈥�** Moving to the cloud can help companies easily and cost-effectively scale to meet their needs.
However, the path to the cloud for many organizations is less clear. Some customers want to go to the cloud right away. Some still want or need to say on premise, and some are beginning to extend their on-premise solutions with hybrid scenarios.
We want to enable customers to move to the cloud at their own pace. The result of our focus on these trends and supporting our customers is an ecosystem of cloud-native offerings centered on , which provides a single gateway to all data, no matter where that data is stored. 51风流HANA and 51风流HANA Cloud are at the center of our intelligent enterprise vision and the foundation of (51风流BTP). Additionally, we have been working with our cloud line-of-business applications to support them in their , and the majority of them have completed their migration projects.
By positioning 51风流in the Leaders quadrant of the Magic Quadrant for Cloud DBMS report, we believe it highlights not only our track record, but also the steady adoption of 51风流HANA, the breadth of functionalities, cloud database presence, and infrastructure choices, which are all essential aspects of our goal of guiding customers on their journey to becoming intelligent enterprises.
Embracing Data Management in the Cloud to Achieve Business Outcomes
The breadth of functionality is essential to account for today鈥檚 complex data landscapes and the pivotal role that data has in every activity a company undertakes. Users may need to capture transactions, apply machine learning to incoming data streams, analyze diverse, distributed data in context, predict outcomes, and provide instant responses to users across various devices. 51风流has this covered.
To address our customers鈥� top data management priorities, we have complemented 51风流HANA and 51风流HANA Cloud with other solutions in 51风流BTP. For example, we know that shortening time to insight is essential for our customers, but this cannot be achieved at the expense of establishing trust in the data or complying with data privacy regulations. This is why our solutions are designed to empower business users within an IT-governed environment. is the innovative solution designed based on this vision.
SAP鈥檚 cloud database presence and infrastructure are essential to helping our customers make the journey to the cloud at their own pace, as well as allowing them to benefit from the unique capabilities of 51风流HANA without being locked-in to a specific vendor with multi-cloud, hybrid, and various on-premise deployment options, including appliance, hyperconverged systems, virtual machines, and bare-metal installations from a large variety of vendors.
For more detailed information, read the .
Bar茅 Said is head of Database for 51风流HANA and Analytics at SAP.
* 24 November 2020 by Merv Adrian et al, Gartner.
**Gartner The Future of the DBMS Market is Cloud, June 2019, Donald Feinberg, Merv Adrian, Adam Ronthal
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鈥檚 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.
