MinIO Alternatives (January 2026)

MinIO's High Performance Object Storage is Open Source, Amazon S3 compatible, Kubernetes Native and is designed for cloud native workloads like AI.

4.7/5

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1.
Object Storage for Capacity-Intensive Workloads | Cloudian
https://cloudia
.com/

Cloudian provides exabyte-scale storage for your capacity-intensive workloads: S3-compatible storage for on-prem, hybrid cloud, and multi-cloud.

2.
Amazon S3 - Cloud Object Storage - AWS
https://aws.amazo
.com/s3/

Amazon S3 is cloud object storage with industry-leading scalability, data availability, security, and performance. S3 is ideal for data lakes, mobile applications, backup and restore, archival, IoT devices, ML, AI, and analytics.

3.
Fast and Scalable Object Storage | Gcore
https://gcor
.com/storage/

S3-compatible object storage by Gcore. Get the opportunity to store and retrieve any amount of data at any time.

5.
LINBIT - Open Source Block Storage
https://linbi
.com/

LINBIT brings technology and support for high availability, disaster recovery and kubernetes persistent storage solutions for the Enterprise

6.
Open Source Enterprise Kubernetes Platform | KubeSphere
https://kubespher
.io/

An open source Kubernetes Platform to manage enterprise-grade Kubernetes across hybrid cloud, multi-cloud and edge. Get started for free!

7.
The AI-native database developers love | Weaviate
https://weaviat
.io/

Bring AI-native applications to life with less hallucination, data leakage, and vendor lock-in

8.
MicroK8s - Zero-ops Kubernetes for developers, edge and IoT
https://microk8
.io/

MicroK8s is the simplest production-grade conformant K8s. Lightweight and focused. Single command install on Linux, Windows and macOS. Made for devOps, great for edge, appliances and IoT. Full high availability Kubernetes with autonomous clusters and distributed storage.

9.
Dgraph | Open Source, AI-Ready Graph Database
https://dgrap
.io/

The only open source, AI-ready graph database that gives developers the tools to quickly build distributed applications at scale.