BMC AMI DevX is a mainframe DevOps platform for IBM Z environments that helps development and platform engineering teams increase release velocity, reduce change risk, and build a sustainable mainframe developer workforce.
Whether the priority is attracting the next generation of mainframe talent, safely evolving decades of business-critical code, accelerating release velocity, or demonstrating development ROI to leadership — BMC AMI DevX is designed to address all on a single platform. Teams can connect existing tools and adopt capabilities incrementally using an open-borders integration approach.
A 2025 Forrester Total Economic Impact study found that customers using BMC AMI DevX onboarded developers 50% faster, completed code changes 33% faster, increased release frequency by 50%, and reduced change failure rate by 33%.
Key capabilities:
- Modern IDE integration (VS Code, Eclipse) with a unified development environment that reduces context switching
- AI-powered code analysis including dependency mapping, impact analysis, and runtime execution path visualization
- Automated unit, functional, integration, and performance testing with code coverage analysis
- Git-compatible CI/CD integration with event-driven webhooks and an open plug-in library
- DORA metrics and DevOps KPI tracking with AI/ML anomaly detection across the mainframe SDLC
Oracle Big Data SQL allows integration of SQL capabilities with big data and cloud infrastructure, enhancing data processing and analysis across data sources.
Oracle Big Data SQL supports seamless querying of distributed data systems, providing a comprehensive platform for analyzing structured and unstructured data. Its architecture simplifies access to data stored in Hadoop and NoSQL databases, promoting efficient enterprise data management. Robust analytical capabilities enable users to derive maximum value from their diverse datasets while maintaining performance and security.
What are the key features of Oracle Big Data SQL?
- Unified Querying: Facilitates SQL queries across diverse data environments, integrating data from Oracle Databases, Hadoop, and more.
- High Performance: Leverages Oracle Exadata Storage to enhance data processing speed and efficiency.
- Security Controls: Ensures secure data access and sharing with extensive security frameworks.
- Scalability: Supports dynamic workload adjustments, catering to large-scale data processing needs.
- Data Analysis: Provides advanced analytics features for deep data insights and decision-making.
What benefits and ROI can users expect?
- Cost Efficiency: Reduces the need for data duplication, optimizing resource utilization and lowering costs.
- Enhanced Productivity: Increases data accessibility and simplifies workflows, boosting operational efficiency.
- Data Integration: Streamlines data integration processes, improving data consistency across platforms.
- Security: Offers robust security for data protection and compliance with organizational policies.
Oracle Big Data SQL plays an integral role in industries like finance and healthcare where data security and real-time analytics are crucial. In finance, it supports risk management and fraud detection by delivering quick access to massive datasets. The healthcare industry utilizes it for patient data analysis, which improves treatment accuracy and operational efficiency.
