If you're looking for an IBM alternative, Informatica is another top choice. Its cloud-based, AI-infused data management products span data integration, data quality, data catalog, API integration and data governance. Its CLAIRE AI engine automates data integration jobs and offers features like data catalog, API integration and data governance. It's geared for companies trying to move their data management into the modern era and to get their data ready for AI.
Another top contender is Databricks, a data intelligence platform that marries generative AI to link data, analytics and governance. It lets customers build and run AI applications directly on their data while maintaining control and privacy. Databricks supports a variety of tools and integrations, including ETL, data ingestion and business intelligence, and is built on lakehouse architecture for scalable and integrated data management.
Digital.ai is another option, in particular if you're focused on DevOps. Its AI-powered platform is designed to deliver more business value by integrating, securing and generating predictive insights across the software delivery lifecycle. With continuous testing, release orchestration and deployment automation, Digital.ai can help large enterprises move to the cloud and deliver secure, high-quality applications more quickly.
And if you're interested in hybrid data platforms, Cloudera has a broad product for securely ingesting, processing and analyzing data in the cloud and on-premises. Its products support real-time insights, automated data pipelines and big data analytics, and are used by industries like finance, manufacturing and health care.