Must-Have Data Integration Characteristics for Data Solution Providers to Win the Enterprise Data Battle

Price: Starting at USD 1,950
Publish Date: 24 Oct 2024
Code: AN-6289
Research Type: Research Report
Pages: 12
Must-Have Data Integration Characteristics for Data Solution Providers to Win the Enterprise Data Battle
Actionable Benefits

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

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

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?

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

3.1. CLOUD DATA INTEGRATION PROVIDERS
3.2. SPECIALIZED DATA INTEGRATION PROVIDERS

4. DATA INTEGRATION USE CASES AND CUSTOMER WINS

4.1. ETL VERSUS DATA VIRTUALIZATION: COMPETITIVE ADVANTAGES FOR DIFFERENT SCENARIOS
4.2. DATA INTEGRATION CUSTOMER WINS MANUFACTURING

5. RECOMMENDATIONS AND CLOSING REMARKS