MinIO AIStor vs OpenEBS

MinIO AIStor combines persistent memory, tables, objects, and files in an enterprise AI data store. AIStor Memory holds agent context, workspaces, secrets, artifacts, and telemetry. AIStor Tables provides native Apache Iceberg storage for analytics, feature stores, lakehouse architectures, and structured AI datasets. S3-compatible object storage covers models, checkpoints, training datasets, embeddings, documents, media, and logs. Access and integration options include S3, S3 Express, MCP, SFTP and Files, Iceberg Catalog, and OpenSharing. Management features include an admin console, QoS, lifecycle management, encryption, key management, a data firewall, and immutability. The product lists several replication modes, along with audit trails, Prometheus metrics, and error logs. Installation options include Linux, Windows, macOS, Kubernetes Helm, OpenShift, and Podman. AIStor Free costs nothing and includes the full feature set, but is intended for single-node, self-supported use without resilience beyond one node; redistribution is prohibited. Enterprise and Enterprise Lite pricing is available on request. Lite is for capacity requirements below 400 TiB; deployments exceeding that are upgraded to Enterprise. A 60-day trial is listed.

OpenEBS is open-source Kubernetes storage software for developers and platform SREs deploying stateful workloads. It turns storage on Kubernetes worker nodes into local or distributed persistent volumes and operates in userspace rather than relying on Linux kernel-dependent software. Its engines include Replicated PV Mayastor and local volumes using Hostpath, LVM, ZFS, or experimental Rawfile. Mayastor can synchronously replicate volumes across Kubernetes zones. Kubernetes-native operations provide copy-on-write snapshots and clones, while Velero plugins support backup and restore to AWS S3, GCP Object Storage, or MinIO. Volumes expose metrics including IOPS, throughput, latency, and traffic patterns for Prometheus and Grafana. OpenEBS also exposes declarative APIs through Kubernetes custom resources and can be installed with Helm 3.2 or newer. Mayastor disk pools support data-at-rest encryption with user-defined AES-XTS keys. Listed use cases include self-managed databases, observability stacks, CI/CD, object storage, websites, and ML pipelines. Mayastor DiskPools are limited to one block device, and encryption keys cannot be rotated.