Question: I need a hybrid cloud solution that allows me to manage apps and data across different environments; can you suggest a platform?

If you need a full-fledged hybrid cloud foundation to span apps and data across many environments, Informatica is a good option. Informatica's cloud-based, AI-infused data management platform spans multiple cloud and hybrid environments to connect and integrate data. It has sophisticated features like automated data integration, data catalog, API and app integration, and data governance, making it a good fit for companies trying to modernize their data management and make their data ready for AI.

Another good option is Cloudera, which offers a hybrid data platform that ingests, processes and analyzes data in the cloud and on-premises environments. The platform aggregates vast amounts of data from multiple sources into a single trusted system for insights and AI model training, and supports real-time analytics and large-scale application deployment. Cloudera's data services, built on Apache Iceberg, make it easy to deploy and manage data lakehouses across multiple clouds, eliminating data silos.

Oracle Cloud Infrastructure is a distributed cloud platform that can run in public clouds, on-premises or in a hybrid environment. With more than 100 cloud services, including AI and machine learning, big data and integration services, OCI offers a wide range of tools to meet digital sovereignty needs. Its multicloud and hybrid cloud support, combined with strong security and competitive pricing, make it a good option for companies of all sizes.

For those who need a hybrid cloud foundation with a strong AI and security focus, HPE offers an edge-to-cloud suite of solutions. The suite of solutions includes options for AI adoption, hybrid cloud management, data protection and high-performance computing. HPE's Edge-to-Cloud Platform and AI Solutions are designed to help customers convert data into insights and build hybrid cloud environments that meet their specific needs.