Product
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Overview
What is AIStor?
Features
Replication Replication Versioning Versioning Observability Observability Encryption Encryption Key Management Server Key Management Server Key Management Server 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 MinIO Enterprise Store 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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