Product
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Overview
What is AIStor?
Features
Replication Replication Versioning Versioning Observability Observability Encryption Encryption Key Management Server Key Management Server S3 Compatibility S3 Compatibility Object Immutability Object Immutability Catalog Catalog Object Prompt Object Prompt xxx Identity + Access Mgt Firewall Firewall AIHub AIHub Lifecycle Lifecycle Cache Cache Events and Lambdas Events and Lambdas Console Console
Tools
Erasure Code Calculator Erasure Code Calculator Determine your raw and usable capacity across a range of erasure coding settings. Reference Hardware Reference Hardware MinIO’s recommended Configuration and reference hardware for building large scale data infrastructure.
Solutions
AI Storage Learn how MinIO is leading the AI storage market from its exclusive features to performance at scale. HDFS Migration Modernize and simplify your big data storage infrastructure with cloud native storage with AIStor. Snowflake Learn how to leverage Snowflake external tables to query data without having to move it.
Integrations Integrations with MinIO Browse our expansive list of
integrations with links to the relevant
documentation.
Veeam Learn how MinIO and Veeam have partnered deliver superior RTO and RPO. Modern Datalakes Learn how modern, multi-engine data lakeshouses depend on MinIO's AIStor. Equinix Repatriate your data onto the cloud you control with MinIO and Equinix. SQL Server Learn how to leverage SQL Server 2022 with MinIO to run queries on your data without having to move it. Commvault Learn how Commvault and MinIO are partnered to deliver performance at scale for mission critical backup and restore workloads. Hybrid Cloud Learn how enterprises use MinIO to build AI data infrastructure that runs on any cloud - public, private or colo. Splunk Find out how MinIO is delivering performance at scale for Splunk SmartStores. VMware Discover how MinIO integrates with VMware across the portfolio from the Persistent Data platform to TKG and how we support their Kubernetes ambitions.
Open Source
Github Community Explore, experiment, ask questions and contribute. Docs Development guides. Slack Channel Open Forum for discussing topics related to MinIO.
Download MinIO Object Store Download MinIO Object Store Get MinIO's open source server, client, and SDK.
Resources
Resources Home Browse our library of white papers, solution briefs, benchmarks and videos. Blog Product updates, company news, and educational content. Training Learn the MinIO Way and Become a Data Infrastructure Expert.
Events Events Join us to take advantage to meet with MinIO partners, employees, and subject-matter experts.
Partner Pricing
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Architecting a Modern Data Lake

Raghav Karnam Raghav Karnam Raghav Karnam on Architect's Guide |
Architecting a Modern Data Lake

The Modern Datalake is one-half data warehouse and one-half data lake and uses object storage for everything. The use of object storage to build a data warehouse is made possible by Open Table Formats OTFs) like Apache Iceberg, Apache Hudi, and Delta Lake, which are specifications that, once implemented, make it seamless for object storage to be used as the

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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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Migrating MinIO Cluster Instances with Zero Downtime and Zero Data Loss

Raghav Karnam Raghav Karnam Raghav Karnam on Operator's Guide |
Migrating MinIO Cluster Instances with Zero Downtime and Zero Data Loss

With the advent of cloud computing, ephemeral compute instances have become ubiquitous. This introduces a whole set of challenges around managing the software, applying DevOps principles, addressing security vulnerabilities and ensuring automation. These are mission-critical in order to prevent data theft and service disruption. Addressing security vulnerabilities is particularly challenging as it frequently takes the form of updating and restarting

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