Gartners-Top-16-Cloud-Database-Management-Systems-bijlage-Gartner-2021.pdf

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2022-01-10

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Gartner’s Top 16 Cloud Database Management Systems

Leader: AWS

Public cloud titan Amazon Web Services took home the gold medal for execution on

Gartner’s Magic Quadrant for Cloud Database Management Systems, while also

ranking No. 4 for vision on the quadrant. The $35 billion Seattle, Wash.-based AWS

is the largest cloud service provider in the world, offering a range of database

management services. Amazon Relational Database Service (RDS), Amazon Aurora

and Amazon DynamoDB target operational use cases, while Amazon Redshift,

Amazon Athena and Amazon EMR are geared towards analytics. There’s also

Amazon Neptune for graph use cases, Amazon DocumentDB for document-based

use cases, Amazon Timestream for managing time series data and Amazon

Keyspaces for Apache Cassandra.

Strength: Gartner says AWS has a better track record for availability and reliability

than all other hyperscale providers.

Weakness: AWS’s support for organizations that have data on multiple clouds lags

behind that of some other hyperscale providers and most independent service

providers.

Leader: Microsoft

The public cloud and software kingpin ranks second place for execution on Gartner’s

Magic Quadrant as well as No. 6 for vision. The $143 billion Redmond, Wash.-based

company provides a broad range of cloud database management systems including

Azure Synapse Analytics, Azure SQL Database, Azure SQL Managed Instance,

Azure Cosmos DB, Azure HDInsight, and Azure Database for

PostgreSQL, MySQL and MariaDB. Microsoft’s cloud DBMS offerings span nearly all

use cases.

Strength: Microsoft Azure is the No. 2 cloud service provider for data management

by revenue and unlike some of its competitors, Microsoft has embraced a multimodel

strategy for many of its data management offerings which can simplify deployment.

Weakness: Gartner contributors report that the move to Azure was often more

expensive than their on-premises deployments had been, reflecting both a lack of

maturity in relation to general financial governance practices among end-users as

well as cost structure standardization across Microsoft Azure.

Leader: Oracle

Oracle won the gold medal for vision on Gartner’s Magic Quadrant, besting all public

cloud competitors, while also ranking No. 4 for execution. The Redwood City, Calif.-

based company provides the Oracle Autonomous Database, which includes

Autonomous Transaction Processing and Autonomous Data Warehouse services, on

the Oracle Cloud Infrastructure and the Oracle Exadata Cloud@Customer (ExaCC)

private cloud.

The $39 billion company also offers Autonomous JSON Database, Oracle MySQL

Database Service, Oracle NoSQL Database and Oracle Big Data Service.

Strength: Not only is the Oracle DBMS the same in on-premises and Autonomous

Database versions, but with the ExaCC private cloud, Oracle has a complete hybrid

environment for sharing data and enabling migrations to the cloud.

Weakness: The only managed DBMS services available on Oracle’s cloud are

Oracle’s own DBMS services and Oracle Big Data Service. Additionally, Oracle RAC

is not supported on other clouds.

Leader: Google

The search and public cloud giant ranks No. 2 for vision and No. 3 for execution on

Gartner’s Magic Quadrant. The Mountain View, Calif.-based company’s Google

Cloud Platform (GCP) supports many database platform as-a-service products --

from fully managed versions of products from third-party providers, to its Google

Cloud SQL, Cloud Spanner, Cloud Bigtable, BigQuery, Dataproc, Cloud Firestore

and Firebase Realtime Database. Google has customers of every size across all

industries.

Strength: Google has been launching resources and database platform as-a-service

products for enterprises, while also adding functionality to BigQuery and Cloud

Spanner. With new pricing models and stronger financial governance, Google’s is

rounding out its enterprise-ready capabilities.

Weakness: Gartner said Google has yet to announce an integrated cloud data

ecosystem brand that packages its existing offerings — ranging from databases to

analytics — as a single solution, along with an end-user workbench and metadata

catalog.

Leader: IBM

IBM ranks No. 3 for vision and No. 6 for execution on Gartner’s Magic Quadrant. The

Armonk, N.Y.-based company offerings include IBM Db2 on Cloud, IBM Db2

Warehouse on Cloud, IBM Cloud SQL Query, IBM Cloudant, the IBM Cloud

Database family and IBM Event Streams. IBM also provides managed services for

PostgreSQL, MongoDB, Elasticsearch, Redis, RabbitMQ, DataStax and EDB. IBM

Cloud Object Storage serves as a landing zone and clearinghouse to complete IBM’s

offerings for operational and analytic use cases.

Strength: IBM’s new CEO Arvind Krishna has a long history in data and analytics.

The company is being boosted by its Red Hat acquisition and a new pricing model,

including a free tier and portability of usage entitlements across the IBM product

portfolio.

Weakness: Gartner said customers often express concern about IBM’s support for

existing products. IBM’s overall DBMS revenue remained flat in a market that grew

by over 18 percent year over year, according to Gartner.

Leader: SAP

The enterprise software standout ranks No. 5 for execution and among the top of the

pack for vision on Gartner’s Magic Quadrant. The Germany-based company provides

SAP HANA, SAP Adaptive Server Platform Edition and SAP SQL Anywhere products

focused on both operational and analytical DBMS use cases. SAP invests heavily to

expand its data management portfolio to support hybrid cloud. It is also expanding its

cloud-based analytics products with SAP Data Warehouse Cloud, SAP Analytics

Cloud, SAP HANA Cloud, SAP HANA Cloud Data Lake and SAP Data Intelligence.