Pricing That Scales With What You Deploy

Consumption-based pricing aligned to deployed value
AtScale measures consumption through deployed semantic objects (DSOs), the governed definitions your teams put into production and make available to analytics, applications, and AI agents.

Flexible editions for analytics and AI workloads
Our Standard and Enterprise editions give you different levels of semantic layer capability, governance, integrations, and AI readiness, so you can match what your organization actually needs.

No per-seat or per-query fees
Scale adoption across teams, tools, and agents without paying more. You pay for the governed logic you deploy, not how widely it's consumed.

Pricing designed for adoption
Most BI tools and cloud platforms charge for users, queries, consumption, or compute. AtScale's semantic layer works differently: pricing is based on the governed logic you deploy, not how many people or systems tap into it. That's what makes it safe to put semantic definitions everywhere without your bill climbing with adoption.

Designed for enterprise environments

  • Supports complex data environments and cloud warehouses
  • Works across your existing AI and analytics ecosystem
  • Enables governed access across teams, tools, agents, and applications
  • Scales from initial use cases to enterprise-wide deployment

Frequently Asked Questions

AtScale pricing is based on deployed semantic objects (DSOs), the governed metrics, dimensions, and models you publish for production use. You pay for the semantic objects your organization puts into use, not the number of users, queries, dashboards, agents, or amount of data consumed. That means you can scale adoption across teams and applications without your costs climbing with usage. As your deployed semantic objects grow, volume discounts bring the cost per object down.

A deployed semantic object (DSO) is a governed business definition that's been published for production use and made available to end users through analytics or AI applications.

Examples include:

  • Metrics: Revenue, profit, customer retention, average order value
  • Dimensions: Customer, product, geography, time
  • Semantic models: Governed collections of business logic that define how data should be interpreted

A semantic object becomes a DSO once it's deployed and visible for consumption in tools like Power BI, Tableau, Excel, Looker, applications, or AI agents.

A deployed semantic object (DSO) is any governed semantic element published and made available for consumption by end users in production.

Examples of objects that count as DSOs:

  • Metrics and measures: revenue, profit, customer retention, averages, counts, or other business calculations used for analysis
  • Dimensions and attributes: customer, product, geography, and time dimensions used to filter, group, or drill into data
  • Hierarchies and visible attributes: all levels and attributes exposed to end users through connected analytics applications
  • Calculated measures: governed calculations available for consumption in analytics tools

The following do not count as a DSO:

  • Calculated columns that aren't exposed as semantic objects
  • Underlying fact tables
  • Objects still in development, testing, or not deployed for end-user consumption

A semantic object only counts as a DSO once it's deployed and available through connected analytics applications such as Tableau, Power BI, Excel, Looker, applications, or AI agents.

DSOs are measured monthly, based on the semantic objects deployed and available for consumption in production environments. Only objects that are published and visible to end users count. Objects still in development, testing, or not exposed through consumption tools don't.

AtScale doesn't charge by user. Unlimited users can access deployed semantic objects across your organization. Whether you have 100 analysts or 100,000 employees consuming governed metrics, your pricing is based on the semantic objects deployed, not the number of people using them.

Yes. AtScale doesn't charge based on query volume, number of dashboards, AI agent interactions, or data size. Your teams can connect more users, applications, BI tools, and AI agents without your costs climbing as adoption grows.

AtScale works with customers to align deployment scope with their evolving semantic layer strategy. If your organization expands beyond your contracted deployment, your account team will help you figure out the right adjustment.

Yes. AtScale's semantic layer provides governed definitions that help AI agents and applications produce consistent, trustworthy answers. Because pricing is based on deployed semantic objects rather than agent usage, you can expand AI adoption without paying per agent interaction or query.

AtScale offers editions built for different levels of semantic layer maturity and enterprise requirements. Standard gives you the foundation for governed analytics: semantic models and connectivity to BI tools. Enterprise adds advanced capabilities for organizations managing complex analytics and AI environments, including broader integrations, enterprise governance, and support for large-scale semantic deployments.

Yes. AtScale offers professional services and technical support to help organizations design, deploy, and scale their semantic layer strategy.

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