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".

Gartner Magic Quadrant for Data Integration Tools 2020

 "By 2023, organizations utilizing data fabrics to dynamically connect, optimize and automate data management processes will reduce time to integrated data delivery by 30%. Through 2025, over 80% of organizations will use more than one cloud service provider (CSP) for their data and analytics use cases, making it critical for them to prioritize an independent and CSP-neutral integration technology to avoid vendor lock-ins."

15th straight year, Informatica has been named a Leader in the Gartner Magic Quadrant for Data Integration Tools.

Informatica, IBM, SAP, Oracle, Talend, SAS and Denodo are the leaders in "Gartner Magic Quadrant for Data Integration Tools 2020"

Magic Quadrant for Data Quality Solutions 2020

 By 2022, 60% of organizations will leverage machine-learning-enabled data quality technology for suggestions to reduce manual tasks for data quality improvement.

Market Definition: The term “data quality” relates to the processes and technologies for identifying, understanding and correcting flaws in data that support effective data and analytics governance across operational business processes and decision making. The packaged solutions available include a range of critical functions, such as profiling, parsing, standardization, cleansing, matching, enrichment, monitoring and collaborating.

Informatica, IBM, SAP, SAS, Talend & Precisely are the leaders in "Magic Quadrant for Data Quality Solutions 2020".