If you're looking for a DDN alternative, SingleStore is worth a look. It's a real-time data platform that can handle petabytes of data with millisecond query performance, a good combination for smart applications. It's got high-throughput streaming data ingestion and supports multiple data models, which is good for complex analytics and AI jobs. SingleStore also has a universal store that combines columnstore and rowstore databases, and it can scale elastically with its cloud-based product, Helios.
Another alternative is WEKA, which is designed to store, process and manage data in the cloud and on-premises. It's got high performance, including 10M IOPS in the cloud, and can handle enormous amounts of data with linear scaling. WEKA is good for AI and HPC, financial services and media customers who want to break free of data silos and avoid parallel file system complexity, so it's a good candidate for your needs.
If you need high-performance object storage, check out MinIO. It's an open-source platform that's tuned for AI and machine learning workloads, with features like active-active, multi-site replication and industry-standard encryption. MinIO is designed to scale and is Kubernetes-native, so it integrates well with cloud and on-premises infrastructure. Its multi-cloud design means it's good for large-scale AI and ML jobs.
Last, Teradata has a cloud analytics and data platform that can span and harmonize data across an organization. With features like ClearScape Analytics and trusted AI, it can handle a variety of workloads including AI/ML, lakehouses and data warehouses. Teradata's platform is designed to accelerate innovation and help with data-driven decision-making, so it's a good candidate for managing complex data operations.