VAST Data
AI data platform combining storage, database and compute services
About VAST Data
VAST Data sells a disaggregated, shared-everything data platform that unifies file, object and block storage with a database and global namespace for AI and analytics workloads. Its newer layers add an AI engine for data processing. Customers include AI cloud providers, research and large enterprises.
Common use cases
- AI training data
- Data lake consolidation
- Analytics on flash
- AI cloud storage
Social listening
What people are saying about VAST Data
A small number of reviews value VAST Data's reliability and scale for AI and HPC, and buyers typically plan for workload fit and sales-led pricing.
What stands out
- Reviewers describe it as reliable and suited to ML and scientific workloads.
- A single namespace serving file and object access and simple day-to-day management are mentioned.
Things to consider
- Worth benchmarking write against read performance on mixed workloads.
- Pricing is sales-led, so ask for a scoped estimate, and plan for time to learn the architecture.
Often compared with: NetApp, Pure Storage, Dell PowerScale, WEKA, MinIO
Sources (1)
- VAST Data pros and cons (PeerSpot) Review site
Themes summarized from public reviews, community discussion and press coverage as of November 2026. They reflect public discussion, not a rating or an endorsement by AI Connect.
Products and services
VAST Data Platform
Unified storage, database and data services.
DataStore
Scale-out file, object and block storage.
DataBase
Table-based data layer for analytics.
InsightEngine and AgentEngine
AI processing layers for retrieval and agents.
Pricing and editions. Software licensed separately from hardware by capacity and compute; no public price list.
Key features
- Disaggregated architecture
- Unified file and object
- Global namespace
- Flash-based economics
- Built-in database
- Multi-protocol access
Integrations
- NVIDIA
- Kubernetes
- Spark
- Trino
- Kafka
- AWS
- Google Cloud
VAST Data alternatives
- PSPure Storage (Everpure)
- WEKAHigh-performance data platform for AI and HPC
- DDDDN
NetAppEnterprise data storage and cloud data management
FAQs
What does it combine?
Storage, a database and AI data services in one platform.
Who is it for?
AI-focused enterprises and cloud providers with large datasets.
Where can it run?
On-premises, hybrid and cloud.

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