Teradata VantageCloud: The Complete Cloud Analytics and AI Platform
VantageCloud is Teradata’s all-in-one cloud analytics and data platform built to help businesses harness the full power of their data. With a scalable design, it unifies data from multiple sources, simplifies complex analytics, and makes deploying AI models straightforward.
VantageCloud supports multi-cloud and hybrid environments, giving organizations the freedom to manage data across AWS, Azure, Google Cloud, or on-premises — without vendor lock-in. Its open architecture integrates seamlessly with modern data tools, ensuring compatibility and flexibility as business needs evolve.
By delivering trusted AI, harmonized data, and enterprise-grade performance, VantageCloud helps companies uncover new insights, reduce complexity, and drive innovation at scale.
Learn more

A comprehensive managed compute platform designed to rapidly and securely deploy and scale containerized applications. Developers can utilize their preferred programming languages such as Go, Python, Java, Ruby, Node.js, and others. By eliminating the need for infrastructure management, the platform ensures a seamless experience for developers. It is based on the open standard Knative, which facilitates the portability of applications across different environments. You have the flexibility to code in your style by deploying any container that responds to events or requests. Applications can be created using your chosen language and dependencies, allowing for deployment in mere seconds. Cloud Run automatically adjusts resources, scaling up or down from zero based on incoming traffic, while only charging for the resources actually consumed. This innovative approach simplifies the processes of app development and deployment, enhancing overall efficiency. Additionally, Cloud Run is fully integrated with tools such as Cloud Code, Cloud Build, Cloud Monitoring, and Cloud Logging, further enriching the developer experience and enabling smoother workflows. By leveraging these integrations, developers can streamline their processes and ensure a more cohesive development environment.
Learn more
Rocket Open AppDev for Z
Rocket Open AppDev for Z empowers businesses to enhance their mainframe DevOps by leveraging secure open-source software, allowing for quicker application launches, cost savings, and reduced risk. This solution goes beyond simply offering a set of open-source ports for z/OS; it incorporates years of committed investment in automation frameworks, various packaging and delivery methods, and an experienced support team. It successfully combines the stringent security requirements of mainframe users with an intuitive interface for both developers and system administrators. Supported by leading banks, insurance companies, and government entities, Open AppDev for Z provides a suite of open-source programming languages and tools specifically designed for z/OS, all while meticulously scanning for security vulnerabilities and ensuring compliance with licensing standards. Regular updates are aligned with the NIST National Vulnerability Database, with open-source ports managed through multiple avenues, including both public and private conda channels, on-premises conda file channels, or SMP/E. This comprehensive strategy not only fosters innovation but also guarantees adherence to security protocols and compliance throughout the development lifecycle, ensuring that organizations can navigate the complexities of modern software development with confidence. As a result, companies can focus on delivering high-quality applications while mitigating the potential risks associated with software development.
Learn more
PyPI
PyPI acts as the primary official repository for Python software packages, boasting an extensive array of projects that developers can share while users can conveniently locate and install them. It supports both source distributions, commonly referred to as "sdists," and pre-compiled binary formats known as "wheels," which allow for the integration of native extensions designed for a variety of platforms. Each project within PyPI consists of multiple releases, each of which may contain different files tailored for specific operating systems or versions of Python. The metadata linked to every package includes critical information such as version numbers, dependencies, licensing details, classifiers, descriptive text (with support for Markdown or reStructuredText), and other vital data that tools like pip rely on to effectively resolve, download, and install the correct package. Users can efficiently search and filter through packages based on this metadata, enabling them to find the software they need using keywords, compatibility information, or other pertinent characteristics. Furthermore, PyPI's extensive features promote enhanced accessibility and organization of Python packages, benefiting both developers and users in their software endeavors. This repository not only serves as a vital resource but also fosters a collaborative environment for the Python community.
Learn more