If you're looking for a broad data management platform that spans different roles and industries, Informatica is a good option. It's a cloud-based, AI-infused product that integrates, governs and unifies data across multicloud and hybrid environments. With its CLAIRE AI engine, Informatica automates data integration jobs and includes features like data catalog, integration and engineering, API and app integration, and data quality and observability. It has flexible pricing and low-code and no-code abilities, too, so it's a good option for companies trying to modernize their data management.
Another powerful option is Qlik, which offers a broad range of data integration, analytics and artificial intelligence tools. It includes end-to-end data integration, data quality and analytics abilities, as well as integration and connectors to tap into hundreds of data sources. Qlik also has AI-infused tools like AutoML and Qlik Staige for no-code predictive AI app development. With its broad data fabric and deep insights, Qlik is designed to accommodate a range of industry and role requirements.
For a flexible foundation to your data and AI investments, take a look at Teradata. Teradata's VantageCloud platform integrates and harmonizes data across an organization, with ClearScape Analytics for faster answers and various workloads like AI/ML and data engineering. The platform spans public cloud, hybrid cloud and on-premises environments, so it's a good option for those who need to scale and integrate easily.
Cloudera is another hybrid data platform that securely ingests, processes and analyzes data across cloud and on-premise environments. Built on Apache Iceberg, Cloudera's platform offers data services for real-time insights, automated data pipelines and large-scale data analytics. It spans a range of industries, including finance, manufacturing and healthcare, and is known for its data reliability and flexibility.