Magic Quadrant for Master Data Management Solutions 2021

 

By 2023, organizations with shared ontology, semantics, governance and stewardship processes to enable interenterprise data sharing will outperform those that don’t.

 Gartner defines master data management (MDM) as a technology-enabled business discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, governance, semantic consistency and accountability of an enterprise’s official shared master data assets.

 Informatica , TIBCO, Riversand and Semarchy are the leaders in “Magic Quadrant for Master Data Management Solutions 2021”.

Gartner Magic Quadrant for Cloud Database Management Systems 2020

 

By 2022, 75% of all databases will be deployed or migrated to a cloud platform, with only 5% ever considered for repatriation to on-premises.

 Gartner defines the cloud database management system (DBMS) market as being that for products from vendors that supply fully provider-managed public or private cloud software systems that manage data in cloud storage. Data is stored in a cloud storage tier (such as a cloud object store, a distributed data store or other proprietary cloud storage infrastructure), and may use multiple data models — relational, nonrelational (document, key-value, wide-column, graph), geospatial, time series and others.

 AWS, Microsoft, Google, Oracle, IBM, SAP, Teradata & Alibaba Cloud are the leaders in “Gartner Magic Quadrant for Cloud Database Management Systems 2020".

Gartner Magic Quadrant for Metadata Management Solutions 2020

 Metadata management is a core aspect of an organization’s ability to manage its data and information assets. The term “metadata” describes the various facets of an information asset that can improve its usability throughout its life cycle.

 Metadata supports understanding of an organization’s data assets, how those data assets are used and their business value. Metadata management initiatives deliver business benefits such as improved compliance and corporate governance, better risk management, better shareability and reuse, and better assessments of the impact of change within an enterprise, while creating opportunities and guarding against threats.

 Informatica, IBM, Collibra, Erwin, Alex Solution, Alation, SAP, Oracle, Smatlogic and ASG are the leaders in "Gartner Magic Quadrant for Metadata Management Solutions 2020".

Gartner’s Top Nine Strategic Tech Trends For 2021

 The top nine strategic technology trends for 2021 are:

1.      Internet of Behaviors

2.      Total experience

3.      Privacy-enhancing computation

4.      Distributed cloud

5.      Anywhere operations

6.      Cybersecurity mesh

7.      Intelligent composable business

8.      AI engineering

9.      Hyperautomation

https://www.forbes.com/sites/peterhigh/2020/10/26/gartners-top-nine-strategic-tech-trends-for-2021/?sh=71316f1521f6 

The Forrester Wave™: Machine Learning Data Catalogs, Q4 2020

 Machine learning data catalogs (MLDCs) are more than a metadata management tool and marketplace. Standalone tools provide an enterprise hub across the ecosystem and solution- and platform-based catalog and metadata repositories. This hub combines a traditional data management business glossary, data stewardship, data preparation, and data marketplaces for a central platform to serve contextualized data. Machine learning (ML) is the glue that makes this happen. ML automates the mundane aspects of understanding the data and applying policies, business rules, tags, and classifications. It provides introspection and inferencing to identify and anticipate error and conflict impacts. And it speeds up collaboration, data curation, and remediation with embedded intelligence and behavioral learning from a social media user experience (UX).

Collaboration, Lineage, And Data Variety Are Key Differentiators

Alation, Collibra, Alex Solutions, And IBM Lead The Pack; data.world, Informatica, Io-Tahoe, and Hitachi Vantara are Strong Performers in "The Forrester Wave™: Machine Learning Data Catalogs, Q4 2020"

The Forrester Wave™: Multimodal Predictive Analytics And Machine Learning, Q3 2020

 As the demand for AI skyrockets, vendors must provide data science and extended AI teams with more automation to increase productivity, model operations for smooth deployment, and a product roadmap that makes breakneck machine learning innovations accessible. Automation, ModelOps, And Product Roadmap Should Factor Prominently In Buy Decisions.

IBM, SAS, RapidMiner, Dataiku, And TIBCO Software Lead The Pack in "The Forrester Wave™: Multimodal Predictive Analytics And Machine Learning, Q3 2020"

Magic Quadrant for Cloud Infrastructure and Platform Services

 Gartner's Definition/Description

Cloud computing is a style of computing in which scalable and elastic IT-enabled capabilities are delivered as a service using internet technologies. Cloud infrastructure and platform services (CIPS) are defined as standardized, highly automated offerings, in which infrastructure resources (e.g., compute, networking and storage) are complemented by integrated platform services. These include managed application, database and functions as-a-service offerings. The resources are scalable and elastic in near-real time and are metered by use. Self-service interfaces are exposed directly to the customer, including a web-based user interface (UI) and an API. The resources may be single-tenant or multitenant, and can be hosted by a service provider or on-premises in the customer’s data center.

AWS, Azure and GCP are the leaders in "Magic Quadrant for Cloud Infrastructure and Platform Services 2020".