AIStor

(This comparison is based on the detailed analysis in the public GitHub Gist by Harshavardhana, covering 13,061 commits. All statistics, commit counts, and feature breakdowns come from that source.) As of late 2025, MinIO Open Source Community Edition is no longer maintained. No new features, enhancements, or bug fixes are being added. The

Today, we're excited to announce two new subscription tiers for MinIO AIStor: Free and Enterprise Lite, joining our existing Enterprise subscription.

MinIO AIStor is now “Awardable” in the CDAO Tradewinds Marketplace. This confirms the solution as a secure, scalable, high-performance data foundation for AI.

MinIO has appointed Ran Kurup as its new Chief Corporate Development Officer, marking the start of the company’s next phase of strategic growth in the AI infrastructure era. Kurup joins MinIO after two decades at Intel, including nine years at Intel Capital, where he led global portfolio development and worked closely with high-growth technology companies across AI, data infrastructure,

Government agencies must embrace AI responsibly, ensuring data sovereignty and security are top priority. To obtain sovereign AI, the right foundation must be in place to ensure infrastructure, data, and models remain fully controlled across agencies.

The format war is over, and Iceberg won. Every major engine now supports it, from Snowflake to Spark. Built for object stores, Iceberg delivers scale, consistency, and simplicity. It is the unified foundation for enterprise AI and analytics. Future-proof your data with Iceberg.

AIStor Tables brings Iceberg catalogs natively into on-prem object storage. It simplifies data organization, enforces table-aware security, and lets AI teams catalog unstructured assets in structured tables, thereby enabling discovery.

AIStor S3 Express is a high-performance object storage API designed for demanding data lakehouse workloads. Benchmarks show it outperforming AWS S3 Express on LIST operations and large object GETs.

Built a portable Java data pipeline using MinIO's AIStor and Kafka that scales from Mac to Kubernetes. Containerized stack (Kafka, AIStor, Prometheus, Grafana) processes millions of events, preserving raw data for analysis while delivering real-time dashboard summaries.

Cloud lakehouses break the bank at scale and compromise control. On-prem Iceberg lakehouses deliver speed, savings, and sovereignty. From cancer research to finance, real-world deployments prove it: petabyte-scale performance, full control, and lower TCO are within reach.

MinLZ is a compression algorithm developed by MinIO. The main goal is to provide a format that offers the best-in-class compression while providing very fast decompression even with modest hardware.

AWS recently unveiled Amazon S3 Tables, claiming to optimize Iceberg analytics on S3. Yet, these "special buckets" mainly fix AWS's own limits—like request caps—not universal object storage issues. With AIStor, you get unmatched performance, no vendor lock-in, and no extra costs for table maintance.