Data is everywhere, structured and unstructured, growing at exponential speed across clouds, data centers, and the edge. Managing it across disconnected lakes, lakehouses, and warehouses means new analytics or AI initiatives start late, cost more, and deliver less.
AIStor unifies your entire data ecosystem into a single, Iceberg-native, software-defined platform, eliminating silos, redundant copies, and infrastructure complexity.
One S3-compatible storage & catalog layer. Works everywhere.
Ingest, deploy & access more data, faster. Securely.
Less CapEx. Less OpEx. Less latency.
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.
High-performance storage for modern data lakehouse analytics and AI.
A Unified Enterprise Storage Solution
Deploy anywhere, scale to exabytes. AIStor delivers the reliability and performance modern lakehouses demand, on a single, lightweight software-defined backplane.
Lightweight, Software-Defined Architecture
From edge to exabyte: AIStor's sub-200MB binary runs anywhere, liberates legacy Hadoop infrastructure, and cuts hardware footprint by 60% without sacrificing performance.
Cloud Native By Default
AIStor works out of the box with Spark, Trino, Snowflake, Kafka, and more. No retraining, no replication, no rearchitecting. Your cloud skills transfer instantly.
Designed for AI
From LLM training to real-time inference, AIStor unifies structured and unstructured data on a single platform, eliminating silos across every AI and analytics workload. A high-concurrency, low-latency foundation for LLM training, RAG, and real-time inference.
Security For The Entire Data Storage Layer
Enterprise-grade encryption at every layer. AIStor secures data in flight and at rest using AES-256-GCM and ChaCha20-Poly1305, with full support for industry-leading KMS platforms.
Open Table Format (OTF) Ready
AIStor is the only object store with a native Iceberg V3 REST Catalog built in, supporting schema evolution, time travel, streaming updates, and Databricks OpenSharing.
How It Works
Data lakes, warehouses and lakehouses are all built on object storage. AIStor is the single, high-performance, 100% S3-compatible backplane that can power all of them. This brings cloud and on-premises together under one simple, fast, cost-effective layer.
Decouple Compute from Storage
Analytics and AI engines scale independently from the storage layer.
Spark, Trino, Databricks, and Flink scale on their own terms
Optimize compute for the workload without storage I/O constraints
The architectural shift behind faster lakehouse query runtimes vs. legacy systems
Native Open Table Format Support
Apache Iceberg V3 REST Catalog is built directly into the storage layer — no external catalog service required.
Schema evolution, time travel, and partition pruning without dependencies
Native Iceberg support across every engine in your stack
AIStor Table Sharing links Databricks analytics to on-premises data via OpenSharing
Unify Structured and Unstructured Data
One namespace for tables, objects, and everything in between - no duplication, no staging pipelines.
BI, data science, and AI teams all work from the same data layer
Eliminate silos between ML and analytics workloads
Supports Parquet, ORC, Avro, and raw object formats natively
Exabyte-Scale Single Namespace
Scale from atomic files to exabyte tables without re-architecting or hitting cluster size ceilings.
Linear scaling - add capacity, add throughput
No 20–30 PB limits that force cluster splits
Billions of objects managed under one consistent API
Lakehouse-Native Architecture
Direct integration with the modern analytics and AI stacks. No translation layer, no proprietary lock-in.
Works with Databricks, Dremio, Flink, Spark, Snowflake, and Trino
S3-compatible API eliminates code bifurcation across storage tiers
Replace Hadoop and legacy NAS without rewriting pipelines
Hybrid and Sovereign Deployment
Run the same platform on-premises, in colocation, at the edge, or in any public cloud.
On-premises using commodity hardware with no cloud dependency
Consistent API and governance controls across every environment
Production-ready in days, not months
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.
Quantified outcomes from AIStor customer production deployments.
Store 2-3× more data for the same cost
Nomura doubled usable storage capacity on existing hardware, avoided purchasing 20+ new servers, and delivered 13.9% higher analytics throughput compared to Hadoop — cutting daily risk processing by four hours, eliminating SLA breach risk, and replacing a fragile monolithic system with a hybrid cloud data lakehouse deployed in two weeks.
50% lower TCO, 86% faster time to value, and 66% lower operational overhead
A major global electric utility replaced a 240-server Hadoop environment with AIStor as the data lakehouse foundation for their smart metering platform. They moved from PoC to production in 10 weeks instead of the 4 months proposed, cutting infrastructure by 62%, and reducing ongoing management to less than one FTE.
Lower OPEX, near real-time BI, independent compute and storage scaling
A global telecom managing 80+ petabytes replaced a tightly coupled HDFS and Cloudera stack with AIStor — decoupling compute from storage, repurposing legacy hardware to cut OPEX, and enabling near real-time BI dashboards and AI-ready pipelines across Kubeflow, MLflow, and vector database workloads.
A national payment infrastructure provider replaced a legacy Hadoop environment with AIStor and Trino on Kubernetes cutting fraud detection runtimes by 65%, achieving 5x increased query throughput, and scaling to 1.5PB with over 6,000 daily queries while eliminating proprietary license costs.
Unify data, payment analytics and AI to accelerate real-time payments, smarter risk decisions and personalized financial experiences. Build apps and agents for use cases like real-time fraud detection, portfolio and regulatory reporting and compliance.
Operational Technology
Bring OT and IT data onto a single data foundation. Reduce downtime through predictive maintenance, reduce operational costs with computer-vision defect detection; and lower forecast errors with demand and supply forecasting.
Observability and Telemetry
Augment tools like Splunk, Elastic, Grafana Loki, and ClickHouse with a single data store, optimizing for cost, scale and performance. Lower unit economics and operating costs while getting to root cause in minutes, not hours.
Security and SIEM
Traditional security tools silo data and drive up costs. Unify security data into a single data store optimized for cost, scale and performance. Gain long-term trend coverage, retain data cost-effectively, and power advanced analytics and AI.
Built for Real-World Applications
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
Faster Analytics. Lower TCO. Half the Complexity.
Stop letting fragmented lakes, warehouses, and legacy infrastructure slow your team down. See how AIStor delivers a unified, Iceberg-native data lakehouse that scales to exabytes and runs anywhere.
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