Database management

Top 10 Cloud Database Management System Players, 2021

These vendors were recently named Cloud Database Management Systems Major Players for 2021 by analyst firm Gartner, Inc.

While the cloud DBMS market is now new, what is new, according to Gartner’s customer survey service, is cloud revenue growth, the 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 and hybrid cloud, flexible pricing models and financial governance, open source software, multimode cloud and serverless object stores. vs. “best fit” dbPaaS and cloud data. ecosystems.

The following vendors were recently named Leaders in Gartner 2021 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 blurb on each and links to product details so you can learn more.

Amazon Web ServicesAmazon Web Services (AWS) offers Amazon Redshift, a fully managed petabyte-scale data warehouse that analyzes data using an organization’s existing analytics software. Redshift’s data warehouse architecture enables users to automate common administrative tasks associated with cloud data warehouse provisioning, configuration, and monitoring. 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 106Microsoft offers a range of data management products, including those for analytics, data governance, and even data virtualization. Its SQL Server solution provides a data warehouse for on-premises and cloud deployments, as well as an in-memory database. Microsoft enables organizations to access, store and analyze any type of data and even offers fully managed Hadoop and Spark. The company is a leading player in the global big data market, with industry-leading business intelligence and data integration tools.

OracleOracleThe suite of data management features allows users to manage both traditional and new datasets on its cloud platform. The company also offers a self-contained data warehouse cloud with over 2,000 SaaS applications. The platform handles the full range of big data functionality, with support for data integration and analysis as well. 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 CloudGoogle offers a fully managed enterprise data warehouse for analytics through its BigQuery product. The solution is serverless and allows organizations to analyze all data by creating a logical data warehouse on managed columnar storage and data from object and spreadsheet storage. 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.

SnowflakeSnowflake 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 has broad support for standard SQL, so users can perform complex updates, deletes, analytics, transactions, and joins. The tool requires no management and no infrastructure. The columnar database engine uses advanced optimizations to analyze data, process reports, and run analytics.

SAPSAP 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 data governance, monitoring and orchestration. 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.

IBMIBM offers data management products for virtually every enterprise use case. Its products can be deployed in any environment, and partnerships with some of the other big names in the market make it an even more intriguing option for organizations with heavy workloads and big data jobs. IBM also offers its Informix database which can integrate SQL, NoSQL/JSON, time series and spatial data.

Alibaba 106Ali Baba offers a cloud platform with a broad focus on operational and analytical databases. The provider also offers an impressive range of cloud-based services. Alibaba touts multiple solutions for a growing list of data-driven use cases. Many of its products have been developed in-house as web-scale cloud products. Although sometimes a major asset, its overlapping product lines can still sometimes be confusing for potential buyers and practitioners alike.

Teradata 106Teradata offers a wide range 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 organizations with the ability to perform various queries, database analytics, and complex workload management.

Databrick 106Databrick offers a unified analytics platform that enables users to prepare and clean data at scale and continuously train and deploy machine learning models for AI applications. The product handles all analytical deployments, from ETL to model training and deployment. It is also available as a fully managed service on Microsoft Azure and Amazon Web Services.

Timothy King
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