If you're looking for a broad data intelligence platform that can help you cut costs by unifying data, AI and governance, Databricks is a good option. It uses generative AI to unify data, analytics and governance so you can build, deploy and run AI applications directly against your data while keeping control and keeping data private. Databricks has a broad set of tools and integrations, including ETL, data ingestion, business intelligence, AI and governance, built on a lakehouse architecture that lets you manage data in a unified and scalable way.
Another good option is Collibra, which offers a range of data management tools including AI Governance, Data Catalog, Data Governance and Data Quality & Observability. It automates data processes, cuts manual work and gives a unified view of data assets across the organization, so you can increase productivity and decrease compliance risk. Collibra supports data analytics and AI model development, so it's highly scalable and adaptable to different business needs.
If you're looking for a flexible foundation for your data and AI investments, Teradata offers a cloud analytics and data platform that unifies and harmonizes data across the organization. Its core product, ClearScape Analytics, delivers faster answers and a clear view of your data, supporting multiple workloads like AI/ML, lakehouses and data engineering. The platform can be deployed in public cloud, hybrid cloud or on-premises environments and is priced flexibly.
Last, Dataiku offers a platform that makes data work a systematic part of delivering exceptional business outcomes, making AI accessible to mainstream use cases. It spans different aspects of data projects, including data preparation, machine learning, MLOps and governance, and is designed for different teams and industries. Dataiku lets users build, deploy and maintain machine learning models and scale AI safely, and offers a free edition and 14-day free trial for new users.