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SPARK Matrix™: Metadata Management, 2022

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Metadata management administrates and describes data assets and the context in an organization, as well as helps establish policies and processes on data governance and data searchability to maximize the utilization of data. Metadata unlocks the assets that are unutilized and unidentified by the organization. It is an approach that drives enterprises to organize their assets and establish policies in their business processes. Additionally, the Metadata strategy would allow the organization to flow through high-quality data with consistency and accuracy across various systems, which would help each department receive reliable data and allow them to make accurate decisions.

Quadrant Knowledge Solutions’ metadata management market research includes a detailed analysis of the global market regarding short-term and long-term growth opportunities, emerging technology trends, market trends, and future market outlook. The study provides a comprehensive market forecast analysis of the global market and the overall market adoption rate as well. This research provides strategic information for technology vendors to better understand the existing market and support their growth strategies, and for users to evaluate different vendors’ capabilities, competitive differentiation, and market position.

The research includes detailed competition analysis and vendor evaluation with the proprietary SPARK Matrix analysis. The SPARK Matrix includes ranking and positioning of the leading metadata management vendors with a global impact including – Adaptive, Alation, Alex Solutions, Collibra, and data. world, Erwin by quest, IBM, Informatica, Oracle, Precisely, Rocket Software, SAP, Semantic Web Company, MarkLogic, Solidatus, and Syniti.

According to Sreejith PS, Analyst at Quadrant Knowledge Solutions, “Metadata management bridges organizational gaps by assisting in the understanding of various data information and the value it can provide. It helps users become proficient and enables them to tackle large volumes of unfiltered data as per the regulations set by the organization. Leading vendors offer functionalities such as AI- and ML-based model techniques, where machine learning lets metadata cluster the data based on the past and trends. Artificial intelligence helps organizations reach the highest efficiency of data usage. It enables organizations to predict the outcomes and automatically suggests keywords, data lineage diagrams, and many more.”

2022 Metadata Management SPARK Matrix
Source: Quadrant Knowledge Solutions

Table of Contents

Executive Overview

  • Key Research Findings

Market Overview and Technology Trends

Factors Influencing Technology Development and Market Growth

Market Adoption Trends

Competition Landscape and Analysis 

  • Competitive Overview and Analysis
  • Key Competitive Factors and Technology Differentiators

SPARK Matrix™: Metadata Management

Vendor Profiles

Research Methodologies

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