Question: Do you know of an analytics platform that can deploy on multiple cloud environments, including public and private clouds?

If you need a powerful analytics platform that spans multiple cloud environments, Aiven is a good option. It offers a single, cloud-agnostic platform for managing cloud data infrastructure, packaging open-source tools like Apache Kafka, PostgreSQL and OpenSearch for use on multiple clouds, including AWS, Google and Azure. The platform is good for companies large and small, with features like fast setup, transparent and predictable pricing, high availability and automated backups.

Another good option is Oracle Cloud Infrastructure (OCI), which offers a wide range of cloud services that can be deployed in public clouds, on-premises or in hybrid setups. OCI spans multicloud, public cloud, hybrid cloud and dedicated cloud services, so it can help meet digital sovereignty requirements. With competitive pricing and a global footprint in 48 regions, OCI is a good option for companies that want to centralize their cloud-based analytics.

Cloudera also offers a hybrid data platform to ingest, process and analyze data in cloud and on-premise environments. The platform is geared for real-time insights, automated data pipelines and large-scale application deployment, which can be useful for industries like financial services, manufacturing and health care. Cloudera's platform is designed to overcome data silos and unify massive amounts of data from different sources into a single trusted system for insights and AI model training.

If you're more focused on AI and machine learning, UbiOps offers a managed service to get AI models and functions into production. It can handle hybrid and multicloud workloads so teams can run models on-premise, in private clouds or expand to public clouds for the best cost and compliance. UbiOps promises ease of use, speed and scalability, making it a good option for data scientists who want to get models into production quickly and securely.