Top 10 players in cloud database management systems, 2021
These vendors were recently named major players in cloud database management systems for 2021 by analyst house Gartner, Inc.
The following vendors were recently named Gartner 2021 Leaders Magic Quadrant for cloud database management systems. The report, which highlights and rates the best products in the industry, presents these tools as the cornerstones of the space. Each vendor’s market share and product portfolios differ, making them attractive to a wider audience of data consumers. Niche and emerging vendors can only hope to replicate the kind of market presence these vendors have acquired over an extended period of time. Here we provide a brief overview of each and links to product details so you can learn more.
Amazon Web Services (AWS) offers Amazon Redshift, a fully managed petabyte-scale data warehouse that analyzes data using an organization’s existing analysis software. Redshift’s data warehouse architecture enables users to automate common administrative tasks associated with provisioning, configuring, and monitoring cloud data warehousing. Backups to Amazon S3 are continuous, incremental, and automatic. Redshift also includes Redshift Spectrum, allowing users to directly run SQL queries against large volumes of unstructured data without transformation.
Microsoft offers a range of data management products, including those for analytics, data governance, and even data virtualization. Its SQL Server solution provides data warehousing for on-premises and cloud deployments, as well as an in-memory database. Microsoft enables organizations to access, store, and analyze any kind of data and even offers fully managed Hadoop and Spark. The company is one of the main players in the global Big Data market, with leading tools in business intelligence and data integration.
Oracle’s suite of data management capabilities enables users to manage both traditional and new data sets on its cloud platform. The company also offers a standalone data warehouse cloud with more than 2,000 SaaS applications. The platform covers the full spectrum of big data functionality, also with support for data integration and analysis. Its other data management offerings include Oracle Big Data Cloud, Oracle Big Data Cloud Service, Oracle Big Data SQL Cloud Service, and Oracle NoSQL Database.
Google offers a fully managed enterprise data warehouse for analysis through its BigQuery product. The solution is serverless and enables organizations to analyze all data by creating a logical data warehouse on managed columnar storage and data from object storage and spreadsheets. BigQuery captures data in real time using a feed ingestion feature, and it’s built on the Google Cloud platform. The product also offers users the ability to share information through datasets, queries, spreadsheets, and reports.
Snowflake offers a cloud data warehouse built on Amazon Web Services. The solution loads and optimizes data from virtually any source, both structured and unstructured, including JSON, Avro, and XML. Snowflake offers broad support for standard SQL, so users can perform complex updates, deletes, analytical functions, transactions, and joins. The tool requires no management and no infrastructure. The Column Database Engine uses advanced optimizations to analyze data, process reports, and run analyzes.
SAP offers its data management capabilities on a single platform. SAP HANA enables users to collect and combine all types of data in real time, as well as improve governance, monitoring and orchestration of data. Users can also create a unified view of data with intelligent data integration that enables advanced applications and data management. The platform is flexible and can be deployed on-premises, in the cloud, or through hybrid deployments. HANA is an in-memory tool with fast data processing and advanced analytics with OLAP and OLTP processing.
IBM offers data management products for virtually any business use case. Its products can be deployed in any environment, and partnerships with some of the biggest names in the market make it an even more attractive option for organizations with heavy workloads and large data jobs. IBM also offers its Informix database which can integrate SQL, NoSQL / JSON, time series and spatial data.
Teradata offers a wide variety of data management solutions, including database management, cloud data warehousing, and data warehouse appliances. The company’s product portfolio is available on its own managed cloud and on Amazon Web Services and Microsoft Azure. Teradata provides businesses with the ability to run a variety of queries, database analysis, and complex workload management.
Databricks provides a unified analytics platform that enables users to prepare and cleanse data at scale and continuously train and deploy machine learning models for AI applications. The product manages all analytical deployments, ranging from ETL to training and model deployment. It is also available as a fully managed service on Microsoft Azure and Amazon Web Services.