NTT DOCOMO BUSINESS Achieves Significant Cost Reduction and Enhanced Resilience with Oracle Autonomous AI Database Migration

NTT DOCOMO BUSINESS, a leading Japanese ICT solutions provider, has successfully migrated its shared internal Oracle-based database platform to Oracle Autonomous AI Database on Oracle Cloud Infrastructure (OCI). This migration involved tens of terabytes of data from their on-premises environment, which previously supported 12 critical internal systems connected to approximately 400 servers. The primary drivers for this move were the increasing complexity and resource intensity of maintaining their on-premises infrastructure. This development is significant for practitioners because it demonstrates a clear path to modernizing legacy Oracle database deployments. The reported 43% reduction in database license costs is a compelling figure that directly impacts the bottom line, making a strong business case for cloud migration. Beyond cost savings, the automation inherent in Oracle Autonomous AI Database for patching, backups, and routine maintenance frees up valuable operational resources. This allows IT teams to shift their focus from mundane administrative tasks to higher-value initiatives like data utilization and business improvement, which is crucial in today's data-driven landscape. The enhanced business continuity through a disaster recovery architecture across two Oracle Cloud regions in Japan also underscores the improved resilience offered by OCI. This migration aligns perfectly with the broader trend of enterprises embracing cloud-native services and autonomous operations to manage increasingly complex IT environments. The move to a fully managed, self-driving database like Oracle Autonomous AI Database reflects the industry's push towards reducing operational overhead and improving agility. This trend is further evidenced by Oracle's continued investment in AI capabilities within its database offerings, as seen in recent announcements around agentic AI capabilities for Oracle AI Database and expanded deployment options. The focus on AI-enabled features within the database itself signifies a shift towards more intelligent and proactive data management, where the database can not only automate routine tasks but also contribute to advanced analytics and security. In practice, this means that organizations still heavily reliant on on-premises Oracle databases should seriously evaluate the potential benefits of migrating to Oracle Autonomous AI Database on OCI. Practitioners should investigate the cost-saving potential, particularly concerning licensing and operational expenditures. Furthermore, the improved security posture through automated patching and the ability to establish robust disaster recovery across multiple cloud regions are critical considerations. Teams should also explore how the autonomous features can reallocate their efforts towards strategic data initiatives rather than maintenance. While the migration process itself requires careful planning, the long-term gains in efficiency, cost reduction, and resilience, as demonstrated by NTT DOCOMO BUSINESS, make a strong argument for such a transition.