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Open-E JovianDSS vs VAST Data Platform

Both stand on storage management software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Open-E JovianDSS

Free trial LinuxSelf-hosted

JovianDSS combines multiple storage protocols with deployment, high-availability, backup, and encryption options. Buyers should account for its architecture-dependent licensing and listed hardware requirements when considering it.

Visit Open-E JovianDSS

VAST Data Platform

Paid APISelf-hostedWeb

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.

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The facts

Open-E JovianDSSVAST Data Platform
Free planA free trialNot published
Open sourceNot publishedNot published
Runs onLinux, Self-hostedAPI, Self-hosted, Web
Lowest paid planJovianDSS Standard Support — up to 16TB: $340 a yearFree or on request
Plans published91
MakerNot publishedNot published
Websiteopen-e.comvastdata.com
On storage management software#16 of 28#24 of 28

Open-E JovianDSS: what it does well

  • Supports five storage protocols, including NVMe-oF.
  • Runs on physical servers or as a virtual appliance.
  • Offers shared and non-shared high-availability architectures.
  • Includes snapshot-based backup and replication.
  • Provides a 60-day free trial.

What to know first

  • No free plan is available.
  • Product licensing depends on storage architecture and capacity.
  • Minimum single-node configuration requires 16GB ECC RAM.
  • Starts at $670 as a one-time license.

VAST Data Platform: what it does well

  • Unifies storage, database, and compute in one infrastructure layer.
  • DataStore scales from terabytes to exabytes.
  • Supports on-premises, edge, and public cloud environments.
  • DataEngine supports scheduled and event-driven pipelines with Python 3 functions.
  • Supports snapshots, managed backups, and elastic scaling.

What to know first

  • Pricing is available on request.
  • DataEngine deployment requires a container registry and Kubernetes cluster.
  • The platform is delivered and supported as an appliance.

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