Gartner Magic Quadrant 2020 for Cloud Database Management Systems
Solutions Review editors provide their key takeaways from the 2020 Gartner Magic Quadrant for Cloud Database Management Systems.
Analyst house Gartner, Inc. recently released its new 2020 Magic Quadrant for Cloud Database Management Systems. Gartner defines the market as products from vendors that “provide fully vendor managed public or private cloud software systems that manage data in cloud storage. Data is stored in one tier of cloud storage (such as a cloud object store, distributed data store, or other proprietary cloud storage infrastructure) and can use multiple data models – relational, non-relational (document, key-value, wide column, graph), geospatial, time series and others.
The vendors listed in this space reflect optimization strategies designed to support transactions or analytical processing for one of many important use cases. The researcher does not include providers who only provide DBMSs hosted in an infrastructure as a service. In terms of strategic planning, Gartner predicts that 75% of all databases will be deployed or migrated to a cloud platform by 2022. By 2023, the preference for the cloud for data management “will reduce vendor landscape as the growth of multicloud increases data complexity. governance and integration ”according to Gartner.
While the cloud DBMS market is now new, what is new according to Gartner customer survey service is cloud revenue growth, percentage of cloud revenue to overall DBMS revenue and declining interest in on-site products. There are also several major trends currently underway in this space, including multicloud, intercloud cloud and hybrid cloud, flexible pricing models and financial governance, open source software, serverless object stores and multimode cloud. versus “best-fit” dbPaaS and cloud data. ecosystems.
Gartner highlights the following representative vendors in cloud database management systems to consider: Alibaba Cloud, Amazon Web Services, Cloudera, Databricks, Google, Huawei, IBM, InterSystems, MarkLogic, Microsoft, Oracle, Redis Labs, SAP , Snowflake, Tencent and Teradata. At Solutions Review, we’ve read the report, available here, and learned the key lessons.
Amazon Web Services tops the table
AWS offers a range of database services based on a number of use cases. For operational use cases, organizations should consider Amazon Relational Database Service, Amazon Aurora, and Amazon DynamoDB. For analytics, customers should test Amazon Redshift, Amazon Athena, and Amazon EMR. AWS is not only the largest cloud database service provider on the planet, it is also the most mature. Gartner sample users praise the performance when using Aurora, Redshift, and DynamoDB. Amazon also has a better track record in terms of uptime and reliability than other large-scale vendors, according to the report.
Magic Quadrant leaders deliver mature product offerings
Take a quick look at the Leaders column in this Magic Quadrant and you’ll see that all of the major players in this space boast long track records in multiple product categories. While AWS leads the pack, the Leaders column also includes names like Microsoft, Google, Oracle, SAP, IBM, Alibaba Cloud. and Teradata. What’s also interesting is that companies like Snowflake, Redis Labs, MarkLogic, InterSystems, and Databricks plan to enter the Leaders category in subsequent reports based on each vendor’s current trajectory.
Cloudera’s position is questionable
Cloudera’s position in this Magic Quadrant is its strong on-premise user base, although it continues to support and update them as it transition to its new CDO platform and the continued movement of customers. to the cloud. According to Gartner, “Its hybrid architecture for management and governance will facilitate this transition. Many know Cloudera as an open source innovator (Flink, Hadoop, Spark) as the vendor continues to focus on deploying the cloud through the creation of a governed architecture.