#8 in Storage & CDNUpdated 2026-08

MinIO

by MinIO · S3-compatible object storage for enterprise AI and analytics workloads

53.6 — BenchRank score out of 100

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Overview

MinIO AIStor is S3-compatible, Iceberg-native object storage that can be deployed across edge, core and cloud environments. It stores enterprise data for analytics, AI training and inference, with encryption, a key management server, immutability, multi-site replication, audit trails and Prometheus metrics. MemKV, sold separately, is a context memory store for AI inference.

Best for: Enterprise teams self-hosting S3-compatible object storage for AI training, inference and analytics.
Pricing: A free single-node tier is published; Enterprise Lite, Enterprise and MemKV all show 'Request Pricing' with no figures given.
Runs on: macOSSelf-hosted

Strengths and trade-offs

Strengths

Supports S3, S3 Express, SFTP, Iceberg Catalog and Delta Sharing
Free tier is full-featured on a single-node deployment
Deployable across edge, core and cloud environments
FIPS 140-3, SOC 2 and ISO 27001 certifications listed

Trade-offs

No prices published; all paid tiers say 'Request Pricing'
Free tier is single node only, with community Slack support
Enterprise Lite is limited to capacity below 400 TiB
MemKV context memory is a separate product, priced separately

Pricing

Published plans from MinIO’s own pricing page, in USD. Usage charges and add-ons may apply on top.

MinIO pricing tiers, monthly rates in USD
Plan	Monthly	Includes
Free	—	Full-featured, single-node deployment architecture Community Slack and documentation support Aimed at developers, researchers and small organisations
Enterprise Lite	Contact sales	Horizontally scalable multi-node architecture For capacity requirements below 400 TiB Lite SUBNET with health diagnostics and security reporting Direct-to-engineer support with <5 day SLA is a paid add-on
Enterprise	Contact sales	Horizontally scalable multi-node architecture Enterprise SUBNET with team governance and security reporting 24/7/365 direct-to-engineer support with <4 hour SLA Dedicated virtual onboarding

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

MCP support: 70 out of 100
API quality: 20 out of 100
Documentation: 80 out of 100
Agent friendliness: 82 out of 100
Pricing transparency: 35 out of 100
Changelog: 0 out of 100
Marketing site structure: 80 out of 100
Operational trust: 60 out of 100

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

Openness: 85 out of 100
Maintenance: 100 out of 100

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