
The Bottom Line
- Price
- Paid plans only. Compare plans
Key facts
- MinIO AIStor is an exascale AI data store designed for high-performance object storage, agentic computing, and analytics.
- It offers limitless scalability, sub-10ms latency, 11 nines of data durability, and zero-touch operations, eliminating traditional storage bottlenecks.
- AIStor Tables provides native Apache Iceberg support with S3 Tables API, unifying structured and unstructured data for lakehouse architectures with ACID guarantees, schema evolution, and time travel.
Pros
- Open source
- Self-hosted
- High performance
- S3 compatible
Cons
- Self-manage required
- No managed service
- Support extra
What is MinIO?
Available on: Web
Ratings Across the Web
MinIO holds an aggregate rating of 4.3 out of 5 from 17 reviews across G2, last checked September 17, 2026.
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
- S3 compatible
- Open source
- High performance
- Kubernetes native
- Erasure coding
- Encryption
Pricing Plans
Pricing checked Sep 29, 2026
| Plan | Price | Details |
|---|---|---|
| Free | $0 |
|
| Enterprise Lite | Custom |
|
| Enterprise | Custom |
|
Is MinIO worth the price?
MinIO's pricing structure is fair, offering a generous Free tier for single-node use.
The Enterprise Lite and Enterprise tiers, while custom-priced, are typical for high-performance object storage solutions requiring advanced features and support. This structure is best for businesses ranging from individual developers to large enterprises needing scalable, performant object storage.
Reviews

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MinIO FAQ
How does AIStor address the 20-30 petabyte limitations often found in traditional storage systems?
What specific features does AIStor offer to optimize GPU utilization for AI workloads?
How does AIStor Tables simplify the lakehouse architecture compared to traditional deployments?
What protocols does AIStor support for data ingestion beyond S3?
What level of data durability does AIStor provide for mission-critical workloads?
How does AIStor Tables ensure data consistency and reliability for concurrent AI workloads?
Source: min.io