In an intriguing development, the recent Azul 2025 State of Java Survey & Report, conducted with over 2,000 Java professionals globally, reveals a significant trend among enterprises: 88% are contemplating alternatives to Oracle Java due to rising costs and other concerns. Executives across industries are facing a dilemma as they weigh escalating costs, cloud expenditure inefficiencies, DevOps productivity bottlenecks, and the demands of evolving artificial intelligence technologies.
Rising Dissatisfaction with Oracle Java Costs
Increased Enterprises’ Discomfort due to Oracle’s Pricing Models
Java remains indispensable, with 99% of surveyed organizations actively using it, and nearly 70% relying on Java or the Java Virtual Machine (JVM) for over half of their applications. However, dissatisfaction with Oracle Java’s pricing model, particularly since Oracle’s shift to employee-based pricing for Oracle Java SE, has prompted 82% of users to express discontent. The surge in discontent has risen exponentially, from 72% to 88% of businesses now considering a shift away from Oracle Java within the past year. This growing trend underscores the broadening quest for more cost-effective solutions across sectors.
The main reasons for considering this shift stem from significant cost concerns, with 42% highlighting this factor. A notable 40% of respondents indicated a preference for open-source alternatives, driven by the flexibility and cost benefits they present. Additionally, Oracle’s aggressive sales tactics have left 37% of users dissatisfied, while 36% have pointed to frequent modifications in pricing and licensing as unsuitable for long-term planning. Restrictive policies have further pushed 33% of respondents toward seeking alternatives. This confluence of factors is illustrative of an overarching push among enterprises to reconsider their tech stacks in favor of more stable and predictable options.
Challenges in Cloud Cost Management
High Expenses and Unused Compute Capacity
Java workloads are a significant burden on cloud expenses, with nearly two-thirds of organizations reporting that these workloads account for over half of their cloud expenses. This significant cost burden is exacerbated by reports from 71% of respondents who have admitted to maintaining over 20% unused compute capacity yet continuing to incur costs for this surplus. These inefficiencies highlight fundamental issues in cloud deployment and management strategies, urging enterprises to reevaluate their current practices to better align with cost-saving objectives.
In response to these challenges, some companies have begun to explore more efficient compute resources and high-performance Java Development Kits (JDKs) designed to boost application performance while optimizing cloud costs. This shift toward enhanced resource management is indicative of a broader desire to streamline operations and mitigate unnecessary spending. By focusing on these solutions, organizations strive to improve their bottom lines without compromising the robustness and reliability of their Java applications.
Optimizing Java for AI Development
While companies grapple with cloud cost management, Java’s significant role in the development of artificial intelligence (AI) applications cannot be overlooked. It is noteworthy that 50% of organizations use Java for AI functionalities, outpacing other languages such as Python and JavaScript in Java-centric enterprises. This trend underscores Java’s versatility and its robust infrastructure, which is well-suited for the complex demands of AI innovation. However, as AI development accelerates, these enterprises anticipate a significant boost in their compute capacity requirements to support Java-based AI applications, with 72% of respondents expecting this need.
The pursuit of optimizing Java deployments for improved operational efficiency and cost predictability is echoed by industry leaders like Scott Sellers, Co-Founder and CEO of Azul. Sellers emphasizes the necessity for businesses to refine their Java strategies to maintain a balance between cost-effectiveness and performance. For many organizations, this process involves leveraging cutting-edge technologies and sophisticated resource management tactics to stay competitive in the rapidly evolving tech landscape.
Impacts on DevOps Productivity
Challenges with Unmanaged Code and Security Issues
DevOps productivity has faced substantial strain due to unmanaged code and pervasive security issues. According to the survey, 62% of respondents indicated that obsolete or unused code significantly impedes their DevOps teams’ effectiveness, creating bottlenecks in the development and deployment processes. This issue is compounded by persistent security concerns, with 33% of professionals dedicating over half their time to resolve potential vulnerabilities, often exacerbated by false positives arising from Java-related complexities.
Additionally, the lingering presence of the Log4j vulnerability continues to trouble 49% of companies, illustrating an ongoing battle against security threats within the Java ecosystem. These challenges underscore the critical need for comprehensive code management and robust security protocols to safeguard and enhance DevOps productivity. By addressing these issues head-on, enterprises can unlock new levels of efficiency and resilience in their software development lifecycle.
Addressing the Challenges
In an intriguing and significant development, the recent Azul 2025 State of Java Survey & Report, conducted with input from over 2,000 Java professionals worldwide, has highlighted a notable trend among enterprises: 88% of these professionals are considering alternatives to Oracle Java. This shift is largely due to rising costs and other related concerns.
Executives across various industries find themselves facing a complex dilemma as they attempt to balance a variety of escalating issues. These include increasing costs associated with Oracle Java, inefficiencies in cloud expenditures, productivity bottlenecks in DevOps, and the rising demands of integrating evolving artificial intelligence technologies into their systems.
As these challenges mount, enterprises are exploring other options that might better fit their budgetary constraints and technological needs. The movement away from Oracle Java represents a broader quest for more cost-effective, efficient, and adaptable solutions for managing their Java-based applications in an ever-transforming digital landscape.