Question: Can you recommend a platform that unifies and processes large amounts of data from multiple sources across cloud and on-premises environments?

For processing and integrating massive amounts of data across cloud and on-premises systems, Cloudera is a powerful option. Its hybrid data platform includes data ingestion, preparation, analysis, prediction and publication, giving you real-time insights and automated data pipelines. Based on Apache Iceberg, Cloudera offers data reliability and flexibility, and is well suited for financial services, manufacturing and health care.

Another good option is Databricks. This data intelligence platform uses AI to integrate data, analytics and governance, so you can build and deploy AI applications directly against your data. With tools for ETL, data ingestion, business intelligence and governance, Databricks offers a unified approach to data management, and you can try it out with a free trial if you're new to the service.

If you're looking to modernize your data management, Informatica has a cloud-based AI-infused service that spans multiple cloud and hybrid environments to integrate and manage data. Its CLAIRE AI engine automates data integration jobs and offers a range of features, including data catalog, integration and governance, so it's a good option for many industries.

If you need something more flexible and scalable, check out Teradata. Its VantageCloud platform integrates and harmonizes data across an organization and supports multiple workloads like AI/ML, lakehouses and data warehouses. With trusted AI and flexible pricing, Teradata is designed to accelerate innovation and help you make data-driven decisions, and it can be deployed in public cloud, hybrid cloud or on-premises environments.