SmartStore That's Fast,
Flexible, and In Your
Control.

AIStor delivers sub-second SmartStore searches, runs on the servers you already trust, and brings cloud-native control into your stack.
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Why AIStor + Splunk SmartStore

Consistent, High-Speed Performance
AIStor’s object-native architecture delivers consistent, NVMe-class performance for SmartStore, even at exabyte scale. Real-time searches, replays, and investigations stay fast, no matter how much your data grows.

Seamless, Flexible Scaling
Scale SmartStore node by node across edge, core, or cloud. AIStor’s inline erasure coding, unified global namespace, and self-contained metadata management eliminate bottlenecks and wasted capacity for seamless, cost-efficient growth.

Modern, Cloud-Native Ops
AIStor is API-first, Kubernetes-native, and runs on any hardware. Automate everything, integrate easily, and maintain full control with cloud agility, on-prem security, and industry-leading price-performance.

Case Study

How a Global Content Leader Rebuilt Their Observability Architecture for Hyperscale

A global content provider was ingesting terabytes of observability data per day, yet compute sat idle while legacy storage, external metadata DBs, and costly SSDs dragged performance and budgets. They replaced the bottleneck with MinIO AIStor behind Splunk SmartStore: 16 nodes, 38 PB usable, all on commodity HDDs, decoupling storage from compute so each tier could grow independently.

The result was one of the largest and most resilient SmartStore deployments in the world.

Deployment Snapshot
  • 51.2 PB of raw HDD storage
  • 16 AIStor nodes, each with 16TB drives
  • 38.4 PB of target usable capacity (with 12:4 erasure coding)
  • 2 × 25GbE network interfaces per node
  • No external metadata database
  • Fully supports Splunk hot-warm tiering architecture

Outcome
  • Cost savings from using HDDs at SSD-like performance
  • Massive scale with no external metadata bottlenecks
  • Continuous uptime via built-in replication and intelligent load balancing
  • Faster time to insight by eliminating infrastructure drag

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