VAST Data Platform

What VAST Data Platform is

VAST Data Platform is an infrastructure platform that brings storage, database, and compute together for enterprises and cloud service providers. Its data services span file, object, block, and database workloads, including vector services and serverless functions. VAST DataStore is described as scaling from terabytes to exabytes for real-time analytics, high-performance computing, and AI workloads, using an architecture called Disaggregated Shared Everything (DASE). The platform is sold as software and delivered and supported as an appliance, with on-premises appliances available. VAST DataSpace can extend across on-premises data centers, edge environments, and public clouds including AWS, Microsoft Azure, and Google Cloud. Supported protocols include NFS, S3, and Block. DataEngine runs scheduled or event-driven pipelines with Python 3 functions, using a web interface, CLI, or REST API. Deployment requires connecting a VAST Cluster tenant to a container registry and a Kubernetes cluster. VAST also describes native APIs, open-source plugins, and validated integrations. Pricing is on request. VAST Data was founded in 2016 and is headquartered in New York City, United States.

Who it suits

VAST Data Platform is aimed at enterprises and cloud service providers that need infrastructure for storage, database, and compute workloads. Its range of data services, deployment environments, protocols, and DataEngine tools may suit organizations running analytics, high-performance computing, or AI workloads.

Limits

Pricing is on request. DataEngine deployment requires connecting a VAST Cluster tenant to both a container registry and a Kubernetes cluster.

Getting started

1. Visit the VAST Data Platform website.
2. Contact VAST for pricing and a solution engineer.
3. Choose an on-premises appliance or consider the stated DataSpace environments across data centers, edge, and public clouds.
4. For DataEngine deployment, connect a VAST Cluster tenant to a container registry and Kubernetes cluster.
5. Use the customer support portal, Knowledge Base documentation, or training resources for support.

Verdict

Consider VAST Data Platform if your organization needs infrastructure spanning storage, database, and compute for analytics, HPC, or AI workloads. Its protocols, cloud and edge reach, and DataEngine options serve a broad technical environment. Pricing requires a request, and DataEngine deployment has container registry and Kubernetes prerequisites.