If you need high-performance object storage with features such as replication, object immutability and identity and access management, MinIO is a top contender. It's an open-source product geared for cloud-native workloads, especially artificial intelligence and machine learning. MinIO supports active-active, multi-site replication, industry-standard encryption, object immutability with locking and retention, and identity and access management with AWS IAM integration. It also has information lifecycle management features and a console for managing instances and searching metadata, making it a good choice for large-scale AI/ML workloads, data lakes and databases.
Another contender is Cohesity, which offers a unified cloud data management platform across on-premises, cloud and edge environments. It has advanced data security features like immutable backup with read-only snapshots, AI-based threat detection and fast data recovery from any point in time. Cohesity also has cyber vaulting with SaaS-based security and flexible deployment options, making it a good choice for large enterprises looking to ensure business continuity and minimize downtime.
If you want a broader approach, IBM Cloud is a contender. It's a secure, resilient and high-performance foundation for applications, especially in highly regulated industries. IBM Cloud has strong security and compliance features, easy scaling for AI workloads and a host of data management tools. It also has promotional pricing and a free trial, so it's accessible for a variety of use cases.
Last, Oracle Cloud Infrastructure is worth a look if you need a distributed cloud platform that spans a wide range of services. OCI has multicloud and hybrid cloud capabilities, broad security features and competitive pricing. With its global footprint and strong security, it's a good option for enterprises that need a reliable and scalable cloud foundation.