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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

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...