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Yellowbrick

Warehouse priced per vCPU that runs in your cloud account or on-premises

Overview

Yellowbrick Data, Inc., with offices in Livermore, California and London, sells a SQL data warehouse that is deployed either in the customer’s own public-cloud account or on premises[15]. It targets application analytics, enterprise data warehousing, streaming analytics, data residency, cloud migration and public-sector workloads[15].

Pricing is unusually simple: software is charged per vCPU used, regardless of node size or hardware, at US$613 per vCPU per year on a one-year subscription, US$482 per vCPU per year on a three-year subscription with a guaranteed price, or US$0.28 per vCPU-hour on demand, metered per second and billed monthly[15]. Customers pay their cloud provider directly for infrastructure, so Yellowbrick adds no markup, and one subscription covers both cloud and on-premises use; global 24×7 support is included[15]. Yellowbrick recommends subscriptions for clusters running more than about 25 percent of the time and on-demand billing for bursts such as quarter-end processing[15].

Yellowbrick suits regulated organisations needing data residency, and enterprises seeking to move legacy warehouses to the cloud while keeping control of infrastructure. It is a smaller vendor than the hyperscalers, with a narrower ecosystem.

Yellowbrick features

  • Runs in customer's cloud account or on-premises
  • Per-vCPU pricing with no credits
  • Subscription and on-demand mixing
  • Workload management
  • 24×7 support included
  • One licence across cloud and on-premises

Yellowbrick pricing

1-year: US$613/vCPU/year. 3-year: US$482/vCPU/year. On-demand: US$0.28/vCPU-hour. Infrastructure billed by the cloud provider.

Yellowbrick strengths and limitations

Strengths

  • Simple, published pricing
  • Data stays in customer's environment
  • Hybrid licence portability
  • No infrastructure markup

Limitations

  • Customer manages cloud infrastructure costs
  • Smaller vendor and ecosystem
  • Unused subscription hours do not roll over
  • Fewer AI features documented

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