Question: Can you recommend a cloud-based data management platform that accelerates AI-readiness and integrates data across multi-cloud environments?

If you're looking for a powerful cloud-based data management platform that accelerates AI-readiness and spans multiple cloud environments, Informatica is a top option. Informatica centralizes data across hybrid environments with its powerful AI engine, CLAIRE, and supports a range of industries with data catalog, integration and governance. Its pay-as-you-go pricing and low-code/no-code abilities make it a good option for modernizing data management and getting data ready for AI use.

Another top contender is Databricks, which marries generative AI with data analytics and governance to create, deploy and run AI applications right on your data. It supports a broad range of tools and integrations, including ETL, data ingestion and business intelligence, all on a lakehouse architecture for open and flexible data management. Databricks offers a free trial to get you started and is designed to democratize insights while keeping data private and under your control.

For a flexible foundation that centralizes data across your organization, check out Teradata. Teradata VantageCloud spans a variety of workloads, including AI/ML, data lakes and data warehouses, and runs in public cloud, hybrid and on-premises environments. Its top feature, ClearScape Analytics, delivers faster answers and trusted AI, making it a good option for optimizing resources and making data-driven decisions.

Last, Cloudera offers a hybrid data platform to securely ingest, process and analyze data across cloud and on-premises environments. Built on Apache Iceberg, it offers real-time insights and automated pipelines, making it a good option for large-scale data analytics and machine learning. Cloudera is widely used across industries to improve operations and decision-making by breaking down data silos and deploying scalable applications.