기업의 데이터 경쟁에서 이기기 위해 데이터 솔루션 프로바이더가 갖추어야 할 데이터 통합의 특성

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

• 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