Free Your Data from Hadoop. Build for What's Next.
Hadoop served its purpose. Your data has outgrown it. NameNode limits cap your scale, 3x replication consumes storage faster than your data grows, and a tightly coupled architecture makes independent scaling of storage and processing impossible.
AIStor liberates your data from these constraints and puts it to work — on a high-performance, Kubernetes-native object storage platform built for AI training, lakehouse analytics, and the workloads HDFS was never designed to support.
A Data Leaders Guide: Migrating from Hadoop to an Iceberg-Powered Lakehouse
Learn proven strategies for adopting object-native analytical data stores and open table formats, compare on-prem vs. cloud deployment options, and achieve immediate returns: reduced infrastructure overhead, faster analytics, and the foundation to power enterprise AI at scale
High-performance storage for Hadoop modernization and AI-ready infrastructure.
Disaggregated Compute & Storage Architecture
Scale storage and compute independently, eliminating the overprovisioning waste that comes from HDFS's tightly coupled design.
Native S3 API & Ecosystem Compatibility
Unlock thousands of modern tools — Spark, Trino, Presto, Flink, PyTorch, TensorFlow — with zero custom integration or gateway translation.
Enterprise Compliance Without Complexity
Native WORM-compliant immutable storage, object versioning, and automated bitrot detection deliver SEC 17a-4 and GDPR readiness out of the box.
Native Iceberg Lakehouse, Built In
AIStor's embedded Iceberg REST catalog provides ACID transactions, schema evolution, and time travel without external dependencies or separate metadata stores.
How It Works
AIStor decouples storage from compute and eliminates the architectural bottlenecks that hold HDFS environments back, so your analytics run faster, your AI workloads scale further, and your infrastructure costs less to operate.
Decoupled, Kubernetes-Native Architecture
Scale storage and compute independently, free from HDFS's tightly coupled design.
No centralized NameNode, fully distributed with no single point of failure
Standard Kubernetes manifests, no custom engineering required
Add capacity without provisioning compute you don't need
S3 API as Universal Data Fabric
100% S3 API compatibility gives modern analytics and AI tools a direct hybrid path to your data, no gateways or translation layers.
Databricks, Starburst, ClickHouse, Spark, Trino, Flink, and more connect natively via S3A
No specialized Hadoop training required, millions of engineers already know S3
The most validated S3 implementation in the industry, fully compatible by design
67% Storage Savings with Erasure Coding
Inline erasure coding cuts storage overhead by two-thirds compared to HDFS 3x replication.
Up to 60% total cost reduction vs. legacy Hadoop infrastructure
Automated bitrot detection with self-healing protects data integrity at scale
Scales to exabyte capacity without replication overhead driving up costs
Incremental Migration, No Rip and Replace
The S3A connector lets existing Hadoop jobs run against AIStor while you migrate, with no rip-and-replace risk.
Start with new workloads or dev environments while HDFS stays running
Test against production workloads before cutover
Complete the migration at your own pace with full rollback capability
Iceberg Catalog, Integrated at the Storage Layer
The Iceberg catalog is embedded directly into AIStor, eliminating a separate catalog service and simplifying multi-engine access.
Spark, Trino, Dremio, and Starburst query directly against the embedded catalog
Structured tables and unstructured objects managed in a single Iceberg data store
Hive Metastore runs alongside the Iceberg catalog with no forced cutover
One S3-Compatible Data Plane, Deployed Anywhere
AIStor runs on commodity hardware on-premises, at the edge, or in the cloud from a single consistent data plane.
Industry-standard hardware on-premises eliminates cloud egress and API fees
Air-gapped and FIPS-compliant configurations supported for regulated environments
Active-active replication with automatic failover across sites
Our migration from Hadoop to AIStor and Trino completely changed how we handle analytics. We process double the data in one-third the time, with full control over infrastructure and costs.
Analytics Team Lead
Financial Services Organization
Proven Results
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 replaced a fragile monolithic system with a hybrid cloud data lakehouse that cut daily risk processing by four hours.
>65% faster fraud-model runtime and 5× workload capacity
A leading national payment infrastructure provider migrated from legacy Hadoop to AIStor with Trino on Kubernetes, improving real-time AI fraud detection performance by 65% and achieving a 5× increase in workload capacity—while replacing expensive legacy licenses with open-source alternatives.
50% faster deployment with new AI-driven use cases
A global financial institution shifted from legacy appliance-based storage to an AIStor-powered data lakehouse, cutting deployment time in half while enabling entirely new AI-driven analytics workflows that weren't possible on the previous infrastructure.
A global digital payments provider serving 400M+ customers and processing over $1.5T in annual payment volume modernized its on-premises infrastructure with AIStor, consolidating petabytes of transaction, analytics, and compliance data into a unified S3-compatible private cloud as it scales toward exabyte capacity.
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