Reviews onG2Capterra
19 reviews trackedThe Bottom Line
Entry price
Paid plans only
Biggest pro
Open source
Biggest con
Self-manage required
TL;DR - MinIO
- 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.
Pricing: open_source
Best for: Enterprises & pros
4.4/5 across review platforms
What is MinIO?
MinIO is a high-performance, S3 compatible object storage system. It is open source and designed for large-scale private and public cloud infrastructure.
Available on: Web
Pros & Cons
Pros
- Open source
- Self-hosted
- High performance
- S3 compatible
Cons
- Self-manage required
- No managed service
- Support extra
Ratings Across the Web
4.4(19 reviews)
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
S3 compatibleOpen sourceHigh performanceKubernetes nativeErasure codingEncryption
Pricing Plans
Free
Free
- Full-featured single-node
- Community support
Enterprise Lite
Custom
- Multi-node
- Health diagnostics
- <5 day SLA
Enterprise
Custom
- 24/7 support
- <4 hour SLA
- Dedicated onboarding
Reviews
4.4/5
Across 19 verified user reviews on G2, Capterra
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MinIO FAQ
How does AIStor address the 20-30 petabyte limitations often found in traditional storage systems?
AIStor utilizes a distributed architecture that scales seamlessly across clusters, data centers, and clouds. This design allows it to support exabyte-scale deployments under a single namespace, effectively eliminating the petabyte walls encountered by other systems.
What specific features does AIStor offer to optimize GPU utilization for AI workloads?
MinIO's streamlined architecture minimizes metadata bloat and POSIX overhead, which commonly starve GPUs. This ensures maximum throughput is delivered to AI training and inference workloads, making efficient use of infrastructure investments.
How does AIStor Tables simplify the lakehouse architecture compared to traditional deployments?
AIStor Tables unifies separate object storage, metastore infrastructure, and catalog synchronization by making tables and namespaces native primitives within the storage layer. This eliminates the need for external metastores like Hive or Glue, reducing complexity and operational overhead.
What protocols does AIStor support for data ingestion beyond S3?
While S3 is the primary method for sending data to AIStor, it also supports other messaging options. These include SFTP and Kafka, providing flexibility for various data ingestion pipelines.
What level of data durability does AIStor provide for mission-critical workloads?
AIStor is built for mission-critical workloads and offers 99.999999999% (11 nines) data durability. This is complemented by comprehensive security controls and global replication to ensure data integrity and availability.
How does AIStor Tables ensure data consistency and reliability for concurrent AI workloads?
AIStor Tables provides full ACID (Atomicity, Consistency, Isolation, Durability) guarantees for transactions. This ensures data integrity and reliability for concurrent AI workloads, schema evolution, and time travel for reproducible training runs.
Source: min.io