Informatica has a cloud-based, AI-infused data management system that spans multiple clouds and hybrid environments to integrate, manage and unify data. Its CLAIRE AI engine automates data integration work and offers data catalog, integration and engineering, data quality and observability and other tools. Informatica's consumption-based pricing and low-code tools are geared for companies trying to modernize their data management and make their data AI-ready.
Another option is Pythian, which helps businesses succeed by securing, activating and optimizing their data estate. Its services span data management, analytics, AI and cloud migration. Pythian's services are anchored by six pillars: data security, transformation, cloud solutions, and more, designed to help businesses make better decisions and cut costs. It's worked with global companies in many industries and offers customized advice and expertise on AI adoption.
For a more integrated approach, check out Cloudera. Its hybrid data platform lets customers securely ingest, process and analyze data in the cloud and on-premises. Cloudera's platform combines vast amounts of data from many sources into a single trusted system, enabling real-time insights, automated data pipelines and accelerated machine learning. It's used in financial services and health care to run operations and make decisions.
Last, Oracle Cloud Infrastructure offers a wide range of cloud services that can be deployed in public clouds, on-premises or hybrid environments. With more than 100 cloud services, including analytics, AI and big data, OCI meets digital sovereignty needs with competitive pricing and no long-term commitments. It spans multisite and multicloud environments, making it a good option for companies that need to scale their data management.