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Navigating the Complexities of the Modern Database Landscape

Tushita Gupta
Head of Product Design
Redgate Software

In today's data-driven world, the management of databases has become increasingly complex and critical. The following are findings from Redgate's 2025 The State of the Database Landscape report.

Rising Concerns Over Data Security

One of the most significant findings of the report is the growing concern over data security and access controls. With 38% of IT teams expressing worries about managing different technologies securely, this marks a notable 12% increase from the previous year, exacerbated as new regulations come putting increased pressure to ensure sensitive data is secured.

Interestingly, 21% of respondents are hesitant to adopt more than one database type due to security and compliance issues, despite the potential advantages that multi-platform environments can offer.

Adoption of Multi-Platform Database Environments

Flexibility, cost savings, and the need to serve diverse use cases are driving nearly three-quarters (74%) of IT teams to use two or more database platforms. A notable 25% of respondents are managing more than four database platforms, a trend that underscores the need for robust database management strategies to ensure data consistency, security, and compliance.

The report also highlights the growing preference for versatile and scalable database solutions, reflecting the evolving demands of modern data-driven applications and the need for robust data management strategies.

Challenges in Database Management

The complexity of managing multiple database platforms is a significant challenge for IT teams. The report highlights that 68% of teams do not have formal processes in place to share best practices, increasing the likelihood of human error and security vulnerabilities. This lack of formal processes can exacerbate the risks associated with managing complex database environments.

The Importance of Testing and Security Practices

The proliferation of database types and the pressure to deliver applications and services swiftly make testing a core component of modern database management. However, 71% of organizations still rely on manual methods to create test data, a time-consuming and high-risk strategy. This has led to 25% of IT leaders expressing concern about the pressure on their teams to manage test data effectively.

Despite these challenges, there is a silver lining. Organizations are becoming more aware of data security measures, with only 14% now lacking an approach for handling sensitive data, a significant decrease from 35% in 2023. This growing awareness is a positive sign that organizations are taking steps to improve their data security practices.

Addressing the Skills Gap

One of the most surprising findings from this year's survey is the ongoing skills gap. The report notes that 44% of data professionals would like professional development opportunities to be provided weekly or monthly, but two-thirds (67%) cite lack of time as the main barrier to participating in training. Organizations need to prioritize professional development and recognize that the skills gap is a critical challenge. Ensuring that the right people are in place to manage data securely and compliantly in an increasingly complex and diverse technology estate is essential for data protection and business success.

The Impact of AI Adoption

Security concerns continue to shape business practices as organizations consider the benefits of AI adoption. While 69% plan to adopt AI capabilities in the next two years, concerns about AI usage in database management have risen sharply. 61% of respondents now cite data security and privacy as key concerns, up from 41% in 2023. This highlights the need for organizations to carefully consider the security implications of integrating AI into their database management processes.

Conclusion

As organizations navigate the complexities of multi-platform database environments, the emphasis on data security, compliance, and professional development remains paramount. By addressing these challenges head-on, organizations can better manage their data and ensure that they are well-positioned to succeed in an increasingly complex and data-driven world.

Tushita Gupta is Head of Product Design at Redgate Software

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Navigating the Complexities of the Modern Database Landscape

Tushita Gupta
Head of Product Design
Redgate Software

In today's data-driven world, the management of databases has become increasingly complex and critical. The following are findings from Redgate's 2025 The State of the Database Landscape report.

Rising Concerns Over Data Security

One of the most significant findings of the report is the growing concern over data security and access controls. With 38% of IT teams expressing worries about managing different technologies securely, this marks a notable 12% increase from the previous year, exacerbated as new regulations come putting increased pressure to ensure sensitive data is secured.

Interestingly, 21% of respondents are hesitant to adopt more than one database type due to security and compliance issues, despite the potential advantages that multi-platform environments can offer.

Adoption of Multi-Platform Database Environments

Flexibility, cost savings, and the need to serve diverse use cases are driving nearly three-quarters (74%) of IT teams to use two or more database platforms. A notable 25% of respondents are managing more than four database platforms, a trend that underscores the need for robust database management strategies to ensure data consistency, security, and compliance.

The report also highlights the growing preference for versatile and scalable database solutions, reflecting the evolving demands of modern data-driven applications and the need for robust data management strategies.

Challenges in Database Management

The complexity of managing multiple database platforms is a significant challenge for IT teams. The report highlights that 68% of teams do not have formal processes in place to share best practices, increasing the likelihood of human error and security vulnerabilities. This lack of formal processes can exacerbate the risks associated with managing complex database environments.

The Importance of Testing and Security Practices

The proliferation of database types and the pressure to deliver applications and services swiftly make testing a core component of modern database management. However, 71% of organizations still rely on manual methods to create test data, a time-consuming and high-risk strategy. This has led to 25% of IT leaders expressing concern about the pressure on their teams to manage test data effectively.

Despite these challenges, there is a silver lining. Organizations are becoming more aware of data security measures, with only 14% now lacking an approach for handling sensitive data, a significant decrease from 35% in 2023. This growing awareness is a positive sign that organizations are taking steps to improve their data security practices.

Addressing the Skills Gap

One of the most surprising findings from this year's survey is the ongoing skills gap. The report notes that 44% of data professionals would like professional development opportunities to be provided weekly or monthly, but two-thirds (67%) cite lack of time as the main barrier to participating in training. Organizations need to prioritize professional development and recognize that the skills gap is a critical challenge. Ensuring that the right people are in place to manage data securely and compliantly in an increasingly complex and diverse technology estate is essential for data protection and business success.

The Impact of AI Adoption

Security concerns continue to shape business practices as organizations consider the benefits of AI adoption. While 69% plan to adopt AI capabilities in the next two years, concerns about AI usage in database management have risen sharply. 61% of respondents now cite data security and privacy as key concerns, up from 41% in 2023. This highlights the need for organizations to carefully consider the security implications of integrating AI into their database management processes.

Conclusion

As organizations navigate the complexities of multi-platform database environments, the emphasis on data security, compliance, and professional development remains paramount. By addressing these challenges head-on, organizations can better manage their data and ensure that they are well-positioned to succeed in an increasingly complex and data-driven world.

Tushita Gupta is Head of Product Design at Redgate Software

Hot Topics

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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