Foundational is leveraging code analysis and AI to prevent data incidents before the code is deployed, throughout the different platforms and teams involved in code that's impacting data - software engineers / producers, data engineers, analysts, etc.
We help data organizations scale around data governance, data quality and privacy, by automating lineage and uncovering of hidden dependencies, to approach data management in a very automated way through git and CI for the data organization.
Foundational is leveraging code analysis and AI to prevent data incidents before the code is deployed, throughout the different platforms and teams involved in code that's impacting data - software engineers / producers, data engineers, analysts, etc.
We help data organizations scale around data governance, data quality and privacy, by automating lineage and uncovering of hidden dependencies, to approach data management in a very automated way through git and CI for the data organization.
Identify issues before they reach production, in the PR stage
Understand your data lineage across the entire organization
Analyze your pipeline's live status by understanding the dependencies between different parts
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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This listing uses a single pricing dimension based on Monitored Resources, measured in units. Each unit represents a model that the platform monitors and analyzes, such as a table, dashboard, or view. Your cost scales with the number of monitored resources you configure. As your environment grows and you add more tables, dashboards, or views to monitor, your unit count rises. Pricing is scoped to the size and complexity of your data environment. This is a contract-based model tied directly to the volume of resources under monitoring.
Top-of-mind questions for buyers
What counts as one Monitored Resource unit for billing?
A unit is one model that the platform monitors and analyzes. That includes a table, dashboard, or view in your data environment. Each such model counts as a single unit. Your total unit count equals the number of these models you place under monitoring.
How does my cost change as my data environment grows?
Your cost scales with the number of monitored models. When you add more tables, dashboards, or views to monitoring, your unit count rises. Pricing is scoped to the size and complexity of your environment, so a larger monitored footprint means a higher unit count.
Does the product need access to my raw data to monitor resources?
No. The platform analyzes source code, metadata, schema definitions, and logs rather than raw data. It connects by authenticating to your code repositories and BI tools. This means monitoring covers your models without storing or processing the underlying data or personal information.
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