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Hitachi Vantara Wasn't Built for This

You're building data pipelines. Running lakehouses. Deploying modern applications that expect S3 to just work.

Maybe you're evaluating Hitachi. Maybe you inherited it. Either way, there's a gap between what Hitachi was designed for and what you're trying to do.

That gap shows up everywhere. Your analysts run queries that should take seconds but take hours. Your GPUs sit idle because storage became the bottleneck, and you're paying for compute you can't use. Your developers spend more time working around S3 quirks than shipping code. Your deployments need specialists and statements of work when they should just need your existing team and a playbook.

See the Difference

The AIStor Advantage

19.2 TiB/s

Read Throughput

Simplicity

Zero-Touch Operations

100%

Native S3 Compatibility

40-60%

Lower TCO

Your Workloads Deserve Better – See the Difference

S3 API Compatibility

MinIO’s AIStor is built for Modern AI
Hitachi Vantara
Legacy Architecture
Native S3 API. Every call, every SDK, every tool—just works.
S3 "compatible" with gaps. Some calls work. Some don't.
Full compatibility with AWS S3 SDKs across all languages
Partial SDK support—requires testing and workarounds
Drop-in replacement for Amazon S3 in any application
Application modifications often required for migration
Complete support for S3 versioning, lifecycle policies
Limited S3 feature coverage, especially newer APIs
IAM-compatible policies and STS for identity federation
Proprietary access controls alongside limited S3 IAM
Why It Matters: Give your valuable developer resources time back to work on driving your business forward rather than coding around inefficiencies.

AI & Lakehouse Performance

MinIO’s AIStor is built for Modern AI
Hitachi Vantara
Legacy Architecture
Built for AI. GPU-speed reads. Parallel writes. No bottlenecks.
Enterprise storage optimized for traditional workloads.
19.2 TiB/s reads at exabyte scale—linearly scalable up and down
Dedicated metadata nodes consume 37% of minimum cluster footprint
Optimized for PyTorch, TensorFlow, and ML data loaders
Absence of throughput benchmarks leaves VSP One Object AI/ML claims unverified
Native support for Iceberg, Delta Lake, and Hudi tables
Supports only Iceberg; leaves Delta Lake and Hudi workloads stranded
Sub-millisecond latency for small object workloads
Latency characteristics suited for bulk operations
Why It Matters: Make the most of your expensive hardware investments by eliminating overhead and inefficiencies.

Operational Simplicity

MinIO’s AIStor is built for Modern AI
Hitachi Vantara
Legacy Architecture
Scale, upgrade, decommission. Without downtime or drama.
Scaling and upgrades require planning and professional services.
Add capacity on the fly. No rebalancing, no resharding.
Different products for different scales, each with its own operational model
Cluster-wide rolling upgrades in minutes, not maintenance windows
Upgrades require maintenance windows and coordination
Decommission old hardware gracefully. Data migrates automatically.
Decommissioning is manual and operationally complex
Self-healing at every layer. Drives, nodes, racks, sites.
Limited self-healing capabilities compared to cloud-native architectures
Why It Matters: Free up operational resources and deliver more reliable solutions to your business faster.

Total Cost of Ownership

MinIO’s AIStor is built for Modern AI
Hitachi Vantara
Legacy Architecture
Lower TCO at every scale point.
Enterprise pricing with hardware and software bundled.
Run on commodity hardware—any vendor, any generation
Proprietary hardware requirements limit flexibility
Linear scaling means predictable capacity planning
Scaling limited to fixed 8-node increments
Single product to learn, deploy, and operate
Multiple products for different use cases
No bundled hardware markups. No forced refresh cycles.
Traditional enterprise licensing complexity
Why It Matters: Spend resources to deliver meaningful business results.

Architecture & Design

MinIO’s AIStor is built for Modern AI
Hitachi Vantara
Legacy Architecture
Stateless. No metadata database. Nothing between
you and your data. 
Legacy architecture extended to support object storage. 
Single-tier scale-out. No back-end storage fabric.
No NVMe-oF complexity.
Dedicated metadata nodes add latency and operational overhead.
No object gateways. No protocol translation. Native S3 end to end.
Relies on back-end storage fabrics and tiered infrastructure
No SAN. No NAS. No POSIX. Purpose-built for objects from the ground up.
Object gateway layered on top of existing block/file systems.
Inline erasure coding and bitrot detection.
No separate data protection layer.
SAN/NAS heritage means POSIX assumptions baked into the design.
Why It Matters: Make more storage addressable and avoid wasted space. Less downtime and more secure data.

Frequently Asked Questions

Can MinIO AIStor really replace our Hitachi object storage?

Yes. AIStor provides complete S3 API compatibility, meaning any application that works with S3—or Hitachi's S3 interface—will work with AIStor without modification. Many organizations have migrated petabytes from legacy object stores to AIStor while their applications continued running without changes.

How does MinIO AIStor performance compare for AI training workloads?

AIStor is purpose-built for high-throughput, low-latency workloads that AI/ML pipelines demand. On standard NVMe infrastructure, AIStor delivers 19.2 TiB/s reads at exabyte scale. This performance scales linearly—double the nodes, double the throughput. Hitachi's architecture was designed for different workload patterns and typically requires significant tuning to approach these numbers.

What about enterprise features like encryption and replication?

MinIO AIStor includes enterprise-grade security and data protection as standard features, not add-ons. This includes server-side encryption with external KMS integration, TLS everywhere, active-active bucket replication across sites, erasure coding with bitrot healing, and IAM-compatible policies. Everything is SIMD-accelerated and always inline. No background processes. No staging layers. No failure modes that cascade when something goes wrong. These aren't bolted on—they're core to the architecture.

How long does a MinIO AIStor deployment take?

A production AIStor cluster can be deployed in hours, not weeks or months. AIStor is a single binary with no external dependencies. If you're running Kubernetes, the AIStor Operator provides declarative deployments. Your existing DevOps team can deploy and operate AIStor—no specialists or professional services required.

Is MinIO AIStor suitable for large enterprise deployments?

Absolutely. AIStor runs in production at many of the world's largest enterprises, serving exabytes of data across thousands of nodes. The architecture scales horizontally without limit. Whether you're running a single server at the edge or a multi-petabyte lakehouse, it's the same AIStor, the same APIs, the same operational model.

Why Teams Choose AIStor

Unmatched Efficiency
Get 4x object store performance with a smaller footprint and big savings.
True S3 Compatibility
Every SDK. Every tool. Every framework. It just works.
Radical Simplicity
No specialists. No professional services. Your team can run this.
Enterprise Security
Encryption, IAM, audit logs—security built in, not bolted on.
Linear Scale
Add nodes, add performance. No architecture redesign required.
Deploy Anywhere
One binary runs everywhere—cloud, colo, edge, air-gapped.

Ready to See the Difference?

Get a personalized assessment of how MinIO AIStor compares to your current infrastructure.