If you're looking for an AI solution that offers a centralized data repository for analytics and AI workloads, Informatica is another top option. It's a cloud-based AI-infused data management platform that integrates, manages and unifies data across multi-cloud and hybrid environments. With its CLAIRE AI engine, Informatica automates data integration tasks, including data catalog, data integration and engineering, API and app integration, and more. That makes it a good choice for companies trying to modernize their data management and make their data more AI-ready.
Another good option is Teradata's VantageCloud, which offers a flexible foundation for getting the most value out of data and AI investments. The platform unifies and harmonizes data across an organization, giving you a single view of data and faster answers through its ClearScape Analytics feature. It can support a range of workloads, including AI/ML, lakehouses, data lakes and data warehouses, and can be deployed in public cloud, hybrid cloud or on-premises environments. That makes it a good option for companies looking to accelerate innovation, optimize resources and make better data-driven decisions.
If you're looking for a data intelligence platform with generative AI, you should check out Databricks. It combines data, analytics and governance so you can build, deploy and operate AI applications directly on your data while maintaining control and privacy. Databricks supports a wide range of tools and integrations, including ETL, data ingestion, business intelligence and AI, and is built on lakehouse architecture for open, scalable and unified data management. The platform is designed for a wide range of users and offers a free trial to get you started.
Also worth a look is Cloudera, which offers a hybrid data platform that securely ingests, processes and analyzes data across cloud and on-premises environments. With a wide range of data services, including ingest, prepare, analyze, predict and publish, Cloudera offers real-time insights, automated data pipelines and large-scale data analytics. Built on Apache Iceberg, the platform offers data reliability and flexibility, making it a good fit for a wide range of industries and use cases.