If you're looking for a platform that offers end-to-end security governance and scalability for deploying analytics on any cloud, Aiven could be a good fit. Aiven is a single, cloud-agnostic platform that runs open-source projects on multiple clouds, including AWS, Google and Azure. It offers services like data streaming, storage and serving using projects like Apache Kafka and PostgreSQL, and supports BYOC deployment. Aiven also has strong end-to-end security and compliance, with a mature platform that offers a 99.99% monthly uptime SLA and automatic backups.
Another good option is Securiti, which offers a single Data Command Center for managing complex data systems across hybrid multicloud environments. It includes strong security, privacy, governance and compliance features, such as data discovery, breach analysis and role-based access controls. With integrations with more than 1,000 data systems, Securiti offers global regulatory compliance and simplifies data management and security tasks.
For those looking for a data intelligence platform with AI abilities, Databricks offers a single option. It uses generative AI to integrate data, analytics and governance so customers can build, deploy and operate AI applications directly against their data. The platform supports a wide range of tools, including ETL, data ingestion, business intelligence and AI governance, and is built on lakehouse architecture for scalable data management.
Last, IBM Cloud offers a broad enterprise cloud platform well suited for regulated industries. It offers secure, resilient and high-performance applications, along with AI workloads and broad security and compliance features. Among its products are IBM Cloud for Regulated Industries and IBM WatsonX.Governance, making it a good option for companies that want to build and govern AI applications across their enterprise.