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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ACID Transactions with Iceberg on AIStor

AJ AJ on Apache Iceberg |
ACID Transactions with Iceberg on AIStor

Pairing the Iceberg table format with AIStor creates a powerful, flexible and extensible lakehouse platform. The Iceberg Table Spec declares a table format that is designed to manage “a large, slow-changing collection” of files or objects stored in a distributed system.

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The Disruptive Nature of Data Lakehouses

Keith Pijanowski Keith Pijanowski on Apache Iceberg |
The Disruptive Nature of Data Lakehouses

Introduction In 1997, Clayton Christensen, in his book The Innovator’s Dilemma, identified a pattern of innovation that tracked the capabilities, cost, and adoption by market segment between an incumbent and a new entrant. He labeled this pattern “Disruptive Innovation.” Not every successful product is disruptive - even if it causes well-established businesses to lose market share or even fail

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Five Strata Takeaways

Jonathan Symonds Jonathan Symonds on Integrations |
Five Strata Takeaways

With another Strata in the rearview mirror, it is time to reflect on what we saw and heard during the week. Strata is clearly a data science show at this point but data science is broad topic. Our perspective, as a provider of high performance object storage, is framed accordingly and we focus on the data stack more than we

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Benchmarking MinIO vs. AWS S3 for Apache Spark

Sidhartha Mani Sidhartha Mani on Apache Spark |
Benchmarking MinIO vs. AWS S3 for Apache Spark

Apache Spark is a framework for distributed computing. It provides one of the best mechanisms for distributing data across multiple machines in a cluster and performing computations on it. Spark achieves this by constructing data structures called RDDs (Resilient Distributed Datasets). RDDs allow data to be broken into disparate chunks and processed independently of one another. The individual chunks can

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S3 Benchmark: MinIO on HDDs

Sidhartha Mani Sidhartha Mani on Benchmarks |
S3 Benchmark: MinIO on HDDs

High performance object storage is one of the hotter topics in the enterprise today. On the one hand, object storage has become an indispensable part of the enterprise storage strategy (public or private cloud) - carrying the vast, vast majority of the enterprise burden when measured in TBs or PBs. On the other hand, object storage has traditionally served a

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Introducing Spark-Select for MinIO Data Lakes

Nitish Tiwari Nitish Tiwari on S3 |
Introducing Spark-Select for MinIO Data Lakes

When early object storage APIs were developed they focused on the efficient storage and retrieval of objects. Amazon’s success with S3 and its implementation of the robust S3 API quickly became the de facto standard for object storage in the cloud. MinIO, recognizing this, invested heavily in creating the most compliant implementation of the S3 API outside of Amazon.

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Scalable Genomics Data Processing Pipeline with Alluxio, Apache Mesos, and MinIO

Nitish Tiwari Nitish Tiwari on Apache Spark |

This is a guest blog from our friends at Guardant Health [http://www.guardanthealth.com/]. Guardant Health is the world leader in comprehensive liquid biopsy. Oncologists order our blood test to help determine if their advanced cancer patients are eligible for certain drugs that target specific genomic alterations in tumour DNA. Each test produces huge amounts of genomic data that

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