TDWI Cloud Data Management Report

As if managing data of increasing size weren’t hard enough, organizations are challenged to monitor business processes, assemble complete views of customers, and weave a cohesive analysis of corporate performance based on hybrid data strewn across the traditional enterprise and multiple clouds.

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About the TDWI Cloud Data Management Best Practices

TDWI Research provides research and advice for data professionals worldwide. TDWI Research focuses exclusively on data management and analytics issues and teams up with industry thought leaders and practitioners to deliver a broad and deep understanding of the business and technical challenges surrounding the deployment and use of data management and analytics solutions. TDWI Research offers in-depth research reports, commentary, inquiry services, and topical conferences, as well as strategic planning services to user and vendor organizations.


Benefits and Barriers for Cloud Data Management

To test whether cloud data management (CDM )is worth the effort, this report’s survey asked: Is CDM a problem or an opportunity?

The State of Cloud Data Management

To gauge the urgency of cloud data management (CDM), this report’s survey asked respondents to rank the importance of CDM relative to their organization’s data strategy.


Organizational Matters

CDM's scope can be as narrow as a few simple data integration jobs that move data from SaaS apps to a data warehouse. Alternately, it can be an extensive infrastructure.

DataOps Process: Drivers and Objectives of DataOps

CDM Best Practices

The list of tools and platforms involved in cloud data management continues to evolve as users adjust their software portfolios, usually to include more cloud-based systems.


Data continues to evolve into greater diversity in the sense of more data structures, schema, sources, containers, and latencies. Likewise, user organizations continue to diversify the ways they use data for business value, especially via use cases in advanced analytics, reporting, data warehousing, marketing, and time-sensitive business operations. At the same time, new platforms have emerged for data management, the most disruptive ones being open source and cloud-based.

The tools and platforms we use to manage data are also evolving to keep up with data, its changing management requirements, and its new use cases. Many are leveraging the power and affordability of the cloud. This includes the new database management systems (DBMSs) and data warehouse platforms built from the bottom up specifically for the cloud.


Cloud Data Management: Problem or Opportunity

Embracing new best practices and technologies can uncover previously unknown challenges and new insights and improvements to technical infrastructure. Users are right to ponder the balance of risk and reward before committing. Such is the case with cloud data management today. To test whether CDM is worth the effort, this report’s survey asked: Is cloud data management (CDM) a problem or an opportunity?

  • The vast majority of respondents (96%) consider CDM an opportunity. Responses to other survey questions reveal that users are hopeful that CDM will help them scale to big data, expand analytics programs, draw business value from new data assets, and extend data warehouses.

  • A tiny minority (4%) consider CDM a problem. Many users are rightfully concerned about the difficulties of data governance, privacy, and security when data is located on numerous platforms, both on-premises and in the cloud. A growing number of organizations have resolved these concerns to manage and use hybrid data in compliant ways.

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