Core Insights - A global survey reveals that Oracle Database customers are evolving their database strategies due to high costs, support challenges, and the need for advanced AI/ML capabilities [1][2][3] Customer Support Challenges - A majority of Oracle Database customers express frustrations with Oracle's support, with 63% citing high support costs and 87% indicating slow resolution times as problematic [2][3] - Only 16% of customers find their initial Oracle support engineer to be very skilled, leading to delays in issue resolution [2] Adoption of Third-Party Support - The survey indicates a growing trend towards third-party support, with 25% of organizations currently using such services and 30% considering it [3] - Key areas for third-party support include cloud database management (37%), data migration (36%), performance tuning (34%), and backup and recovery (32%) [3] Diversification of Database Strategies - Many Oracle Database customers are exploring alternative database options due to high costs (58%) and support gaps (31%), with 77% deploying new applications on non-Oracle databases in the past 36 months [6] - Popular alternatives include SQL Server (59%), MySQL (45%), PostgreSQL (40%), and Amazon RDS (28%) [6] Interest in AI/ML Capabilities - While 47% of respondents desire native support for large language models (LLMs), many are unaware that Oracle has already integrated LLM support in versions 19c and 23ai [7]
New Global Survey Reveals Oracle Database Customers are Evolving their Database Strategies Citing High Costs, Support Challenges and Need for Advanced AI/ML Capabilities