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封面
市场调查报告书
商品编码
1584840

资料解决方案供应商赢得企业资料竞赛应具备的资料整合特征

Must-Have Data Integration Characteristics for Data Solution Providers to Win the Enterprise Data Battle
出版日期: | 出版商: ABI Research | 英文 12 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

本报告探讨了资料解决方案提供者应具备的资料整合特征、资料整合工具应具有的基本特征、资料整合工具的差异化因素、领先公司和生态系统参与者、资料整合用例和客户。

实际好处：

  • 完整且强大的资料整合工具的资料整合先决条件
  • 预测资料整合市场的市场机会
  • 资料整合解决方案比较：云端提供商资料管理技术供应商

重要问题的答案：

  • 资料整合工具必须具备哪些关键特性才能支援混合云端资料管理？
  • ETL（提取-转换-载入）和资料虚拟化方法的竞争优势是什么？
  • 数据集成提供者如何识别数据集成市场的机会？

研究亮点：

  • 确定区分基本资料整合工具和强大的资料整合工具的特征
  • 将特定用例对应到基于 ETL 和资料虚拟化的整合方法的竞争优势
  • 确定资料整合提供者如何透过独特的工具优势赢得客户

目录

第1章 要点

第4章 主要预测

第3章 主要公司与生态系进入者

第 31 章云端资料整合供应商

第32章 专业资料整合提供商

第 4 章. 资料整合用例与客户利益

第41章 ETL和资料虚拟化在不同情境下的竞争优势

第 42 章资料整合客户

第 5 章建议/概述

简介目录
Product Code: AN-6289

Actionable Benefits:

  • Data integration must-haves for a complete and robust data integration tool.
  • Market opportunity forecast of the data integration market.
  • Comparison of data integration solutions by cloud providers and data management technology providers.

Critical Questions Answered:

  • What key characteristics must data integration tools have to support hybrid cloud data management?
  • What are the competitive advantages between an Extract, Transform, and Load (ETL) and a data virtualization approach?
  • How can data integration providers identify opportunities in the data integration market?

Research Highlights:

  • Identify characteristics that differentiate between a basic and robust data integration tool.
  • Map specific use cases to the competitive advantage of an ETL-based and a data virtualization-based integration approach.
  • Identify how data integration providers win over customers through unique tool differentiators.

Who Should Read This?

  • Market intelligence managers at data integration providers looking to gain an understanding of the competition.
  • Cloud hyperscalers looking to acquire specialized data management providers as part of an overall cloud data management strategy.
  • Data management product engineers tasked with integrating new features into a data integration solution.

TABLE OF CONTENTS

1 KEY TAKEAWAYS

2 KEY FORECASTS

3 KEY COMPANIES AND ECOSYSTEM PLAYERS

31 CLOUD DATA INTEGRATION PROVIDERS

32 SPECIALIZED DATA INTEGRATION PROVIDERS

4 DATA INTEGRATION USE CASES AND CUSTOMER WINS

41 ETL VERSUS DATA VIRTUALIZATION COMPETITIVE ADVANTAGES FOR DIFFERENT SCENARIOS

42 DATA INTEGRATION CUSTOMER WINS MANUFACTURING

5 RECOMMENDATIONS AND CLOSING REMARKS