ESG Brief: The Cloud’s Connection to Copy Data Management

Abstract:

As enterprise organizations continue to expand how they use their data to maximize its potential value, they are increasingly looking to leverage data management and enablement (DM&E) or copy data management (CDM) solutions. The growing use of public cloud infrastructure, especially by those organizations leveraging services from multiple cloud providers, is driving the use of DM&E/CDM capabilities. ESG’s research indicates that the majority of businesses are using data management technology to orchestrate copies or re-use of data, and that cloud-based services and management are the leading drivers when it comes to these solutions.

Topics: Data Protection Data Platforms, Analytics, & AI Cloud Services & Orchestration

ESG Master Survey Results: Copy Data Management Trends

Abstract:

This Master Survey Results presentation focuses on understanding the business and technology drivers and obstacles with regard to copy data management, as well as feature and buying differentiators.

Topics: Data Protection Data Platforms, Analytics, & AI

ESG Research Report: 2018 IT Spending Intentions Survey

Abstract:

In order to assess IT spending priorities over the next 12-18 months, ESG recently surveyed 651 IT professionals representing midmarket (100 to 999 employees) and enterprise-class (1,000 employees or more) organizations in North America and Western Europe. All respondents were personally responsible for or familiar with their organizations’ 2017 IT spending as well as their 2018 IT budget and spending plans at either an entire organization level or at a business unit/division/branch level.

Topics: Storage Cybersecurity Data Protection Networking Data Platforms, Analytics, & AI Converged Infrastructure Enterprise Mobility Cloud Services & Orchestration IT Spending Intentions

ESG Brief: 2018 Data Analytics Spending Trends

Abstract:

Most organizations expect to spend more on business intelligence (BI), analytics, and big data technology solutions in 2018 as organizations continue down a path of becoming more data-driven, increasingly in real time. While overall most organizations are earmarking at least some funds for traditional business intelligence, cloud- and edge-based analytics are being prioritized by leading-edge IT consumers.

Topics: Data Platforms, Analytics, & AI IT Spending Intentions

ESG Brief: Perspectives on Readiness for and Impact of GDPR

Abstract:

With the May 2018 deadline a mere four months away, are organizations ready for the General Data Protection Regulation (GDPR)? According to ESG research, there is still work ahead. Many firms aren’t completely prepared and may have to make incremental technology purchases for GDPR compliance over the next few months. Furthermore, organizations need to button down their incident response plans so they are prepared to report breaches to supervisory authorities within 72 hours as stipulated by GDPR. To address the many GDPR challenges ahead, ESG recommends focusing on areas like data discovery/classification, identity and access management, encryption, and IR planning.

Topics: Storage Cybersecurity Data Protection Networking Data Platforms, Analytics, & AI Converged Infrastructure Enterprise Mobility Cloud Services & Orchestration

ESG Brief: Strategies for Enhancing Database Performance

Abstract:

For most use cases, database performance is an important quality. For decades, both vendors and customers have been implementing measures to help them optimize speed of transaction processing and analytics. This has traditionally entailed tuning software and/or buying faster hardware. Today, two newer trends are becoming increasingly popular: in-memory and GPU-based database operations, both of which can drastically improve the performance profile of databases.

Topics: Data Platforms, Analytics, & AI

ESG Brief: Database Purchase Criteria

Abstract:

Literally hundreds of databases are available on the market today, each with its own unique blend of capabilities and limitations. Some are deeply optimized for specific requirements, while others are more general in nature. Some are proprietary, and some are varying shades of open source software. When selecting the best database for specific needs, it might be helpful to understand how others are evaluating their options.

Topics: Data Platforms, Analytics, & AI

ESG Brief: Market Disruption: Next-generation Databases

Abstract:

The database market continues to be dominated by a handful of traditional, commercial, relational databases from a few major vendors. Or does it? ESG research shows increasing business adoption of next-generation database options, perhaps not always as direct replacements for old school choices, but definitely for more than just niche corner-case applications. Further, once new databases land a seed in new accounts, they tend to flourish and grow rapidly. The widespread adoption of NoSQL and NewSQL databases will have a profound impact and should be properly understood by buyers and vendors alike.

Topics: Storage Data Platforms, Analytics, & AI

ESG Brief: The Database Market: Radical Shift to the Cloud

Abstract:

The database market continues to evolve rapidly, no longer dominated by just a handful of traditional approaches. One of the biggest impacts has been the availability—and increasing popularity—of public cloud options. Businesses are finding new opportunities in cloud-based databases, and not only for dev/test or transient workloads. Yet incumbent vendors are keeping pace with these shifts in preferences, requiring upstarts to work even harder for meaningful differentiation.

Topics: Data Platforms, Analytics, & AI Cloud Services & Orchestration

ESG Brief: 2017 Data Analytics Spending Trends

Abstract:

IT spending for business intelligence (BI), analytics, and big data technology solutions will continue to accelerate in 2017. While more technology-savvy buyers are more focused on big data initiatives, most organizations continue to invest heavily in traditional BI tools, databases, data warehouses, and data preparation needs.

Topics: Data Platforms, Analytics, & AI IT Spending Intentions