The Lakehouse You Build Today Powers the AI You Ship Tomorrow
AIStor is the object-native foundation for on-premises and hybrid data lakehouses at exabyte scale, with one copy of Iceberg tables for every engine from BI to AI.
A Data Leader's Guide to Evolving Your Lakehouse for AI
Learn how organizations are evolving their data lakehouse to handle unstructured data growth, open table formats, and AI workloads, with a single object-native storage and catalog layer built for what's next.
Legacy infrastructure and cloud costs are holding back your data strategy. AIStor removes the constraints.
Open Standards, Zero Lock-In
AIStor is the only object-native, on-premises object store with a built-in Apache Iceberg V3 REST Catalog, no bolt-on metastore, no proprietary SQL dialect, no per-engine ETL.
One Foundation, Every Workload
Query engines, cloud analytics platforms, ISV applications, and AIStor Memory (Tech Preview) all run against the same S3 foundation, no separate systems to buy, sync, or govern.
Open Protocols to the Cloud
Compliance and economics keep your data on-premises. Native OpenSharing lets Databricks and other cloud platforms query that same data in place, one estate instead of two.
Scale, Performance, Economics
23.5 TiB/s of throughput at exabyte scale, 40% lower TCO than appliance-based alternatives, and no NameNodes, DataNodes, or complex rebalancing to manage.
Designed for AI
One store, every workload, BI, ML, vector search, and unstructured data, alongside the same tables your analysts already query.
Lightweight, Software-Defined Architecture
From edge to exabyte: AIStor runs anywhere, liberates legacy Hadoop infrastructure, and cuts hardware footprint by 60% without sacrificing performance.
On-Prem Data Foundation for All Analytics & AI
Give analytics and AI direct access to the same governed enterprise data, without creating another copy, pipeline, or platform.
Data Lakehouse Solutions
Modernize your data infrastructure on a foundation built for AI's future.
Storage Modernization
Build performant lakehouses on-premises with standard hardware and see immediate cost savings, with storage and compute scaling independently.
Data Consolidation and HDFS Migration
HDFS is expensive to maintain, with skills disappearing from the market. AIStor replaces it with object storage that's simpler to run and integrates natively with the S3 API.
Data Consolidation and EDW Offload/Migration
Cloud data warehouses lock you into vendor-specific SQL dialects. AIStor delivers open standards with Apache Iceberg, working with the engine your team already uses.
Data Lakehouse External Catalog Migration
A modern lakehouse combines object storage, a query engine, and a REST Catalog layer, usually as a separate service to deploy, secure, and keep in sync. AIStor builds that catalog directly into the store, one less system standing between your data and your engines.
Data Lakehouse for AI
Stop copying data between training and serving systems. Train and serve models on the same tables and objects your analysts query - video, text, and images included - all in a single store.
Four Ways Into One Lakehouse
Start with the workload you have today and add the rest on the same data, with no re-platforming. Stop moving data, start analyzing it.
Analytics Query Engines
PyIceberg, Spark, Trino, Starburst, PuppyGraph, and ClickHouse all read the same governed Iceberg tables through AIStor's built-in REST Catalog.
Cloud Analytics and AI
Databricks queries on-premises tables in place through native OpenSharing, with no copies and no sync jobs.
Analytics Apps
Observability, security, and other ISV applications store and analyze massive data volumes directly on AIStor over S3, without a separate archive tier.
Agentic Apps
AIStor Memory (Tech Preview) gives agents persistent session state on the same foundation as your tables and objects, with no separate memory store to stand up.
Trusted by AI Leaders
AIStor powers production lakehouses at scale.
Nomura
Retired aging Hadoop for an AIStor lakehouse powering value-at-risk reporting and regulatory compliance, cutting total cost of ownership more than 50%.
Stood up a 2PB on-premises lakehouse on industry-standard Dell hardware for fraud detection and compliance reporting, cutting compliance query time 90%.
AIStor helped us turn what was once a fragile, monolithic system into a very forward looking data lakehouse that supports a true hybrid cloud. AIStor’s simplicity is an order of magnitude difference.
From day one, AIStor proved itself. We moved from PoC to production in weeks, not months, with half the infrastructure and a fraction of the operational burden…MinIO AIStor has enabled us to scale our smart metering infrastructure faster and more efficiently than we imagined. The time savings, simplicity, and performance have been game-changing.
Customers consistently ask us to be able to govern and share data stored in and out of the cloud. Our partnership with MinIO is a testament to the power of an open data ecosystem. By natively integrating Databricks Open Sharing, MinIO enables enterprises to securely connect their on-premises data to Databricks without complex replication, accelerating time-to-insight for hybrid workloads
-Stephen Orban
SVP of Product Ecosystem and Partnerships, Databricks.
Organizations apply AIStor as their modern data lakehouse foundation across industries.
Financial Services
Unified analytics and AI data layer
Iceberg-native risk and compliance storage
Real-time fraud model data foundation
Telecom
Unified lakehouse for billing and assurance
Decouple compute from network data storage
Open table formats for subscriber analytics
Life Sciences
Unified trial, imaging, and genomics data
Exabyte-scale research data lakehouse
Open format for multi-site research pipelines
Manufacturing
Unified IoT and ERP analytics layer
Edge-to-core operational data lakehouse
Procurement and quality analytics
Media
Unified content and engagement analytics
Petabyte-scale structured and unstructured storage
Open table formats for licensing and royalties analytics
Gaming
Unified telemetry and transaction data layer
Real-time player behavior analytics foundation
Scalable storage for in-game event pipelines
Stop Accepting Compromises
Tables. Objects. Memory. One foundation for everything from BI to agentic AI. Build on-premises with cloud-native flexibility, open standards, and enterprise reliability.
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