Product
MinIO Enterprise Object Store
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Features
MinIO for Public Cloud
AWS GCS Azure
MinIO for Private Cloud
OpenShift SUSE Rancher Tanzu
MinIO for Baremetal
Linux and Windows
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Solutions
AI Storage Object storage is powering the AI revolution. Learn how MinIO is leading the AI storage market through performance at scale. Modern Datalakes Modern, multi-engine datalakes depend on object stores that deliver performance at scale. Learn more about this core MinIO use case. Hybrid Cloud Effective multi-cloud storage strategies rely on utilizing architecture and tools that can function seamlessly across diverse environments. Equinix Repatriate your data onto the cloud you control with MinIO on Equinix to lower costs while maintaining public cloud adjacency. Splunk Find out how MinIO is delivering performance at scale for Splunk SmartStores. Snowflake Query and analyze multiple data sources, including streaming data, residing on MinIO with the Snowflake Data Cloud. No need to move the data, just query using SnowSQL. SQL Server Discover how to pair SQL Server 2022 with MinIO to run queries on your data on any cloud - without having to move it. HDFS Migration Modernize and simplify your big data storage infrastructure with high-performance, Kubernetes-native object storage from MinIO. VMware Discover how MinIO integrates with VMware across the portfolio from the Persistent Data platform to TKG and how we support their Kubernetes ambitions. Veeam Learn how MinIO and Veeam have partnered to drive performance and scalability for a variety of backup use cases. Commvault Learn how Commvault and MinIO are partnered to deliver performance at scale for mission critical backup and restore workloads. Integrations Browse our vast portfolio of integrations.
Community
GitHub Join our GitHub open source community: explore, experiment, ask questions, and contribute. Slack Channel The MinIO Community Slack provides an open forum for discussing topics related to MinIO. All support is provided on a best-effort basis.
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Migrating from Hadoop to a Cloud-Ready Architecture for Data Analytics

Raghav Karnam Raghav Karnam Raghav Karnam on Dremio
Migrating from Hadoop to a Cloud-Ready Architecture for Data Analytics

This post was a collaboration between Kevin Lambrecht of UCE Systems and Raghav Karnam The cloud operating model and specifically Kubernetes have become the standard for large scale infrastructure today. More importantly, they are evolving at an exceptional pace with material impacts to data science, data analytics and AI/ML. This transition has a significant impact on the Hadoop ecosystem.

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