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Google Cloud Cortex Framework - Data Foundation for SAP Analytics

Cortex Framework provides solution accelerators that build trusted data products in BigQuery from SAP source systems.

Data Analytics
Pricing Model Google does not publish a dedicated pricing page for Cortex Framework; the solution accelerators are open source and deployed within your own Google Cloud environment, so costs arise from the services used, such as BigQuery and Dataform
Availability Open source, customizable modules deployed within your own Google Cloud environment; documentation covers version 7 and version 6
Data Sovereignty As published by the provider / see official documentation
Reliability As published by the provider / see official documentation SLA

Google Cloud Cortex Framework provides open source solution accelerators that build a trusted data foundation in BigQuery from SAP source systems.

What is Google Cloud Cortex Framework?

Google Cloud Cortex Framework provides solution accelerators that help you build trusted, high-quality data products ready for advanced analytics and agentic use cases. The framework uses Google Cloud products including BigQuery, Dataform, Knowledge Catalog, and the Gemini Enterprise Agent Platform.

The solution accelerators are available as customizable, open source modules that you deploy securely within your own Google Cloud environment to build, customize, and extend data products from enterprise source systems.

Core Features

  • Build and deployment framework: Orchestrates the transition from local configurations to Dataform pipelines and active BigQuery datasets through the CLI scripts cortex-build, cortex-deploy, and cortex-build-and-deploy
  • Code generation: Compiles configuration files such as config.yaml and table_settings.yaml, analyzes the schemas of the source data assets including custom columns, and dynamically generates Dataform JavaScript and SQLX code
  • Data modules: Provide the build and deployment framework with packaged solution metadata that defines the structure and components of the Dataform data pipelines
  • Data foundation modules: Define the data structure of the solution
  • Multiple execution environments: Local development machines, Cloud Shell or virtual workstations, and CI/CD systems such as Cloud Build or GitHub Actions

Typical Use Cases

Preparing SAP data for analytics

Building a structured data foundation in BigQuery from SAP ECC, SAP S/4HANA, or SAP Business Data Cloud without developing the pipelines from scratch.

Repeatable deployment

Automating build and deployment through CI/CD pipelines so configuration changes roll out traceably.

Extending with custom fields

Accounting for custom columns in the source systems, since the framework analyzes the source data schemas.

Foundation for agentic use cases

Providing a data foundation that analytics and agentic use cases build on.

Benefits

  • Open source and customizable: The modules can be adapted and extended to fit your own system landscape
  • Deployed in your own environment: The modules run in your own Google Cloud project
  • Standard tooling: Dataform, BigQuery, and standard Python tools rather than proprietary detours
  • CI/CD ready: Build and deployment integrate into existing pipelines

Integration with innFactory

As a certified Google Cloud partner, innFactory supports you with Cortex Framework: selecting and adapting the data modules, setting up the build and deployment process, and connecting your SAP source systems.

Contact us for a consultation on Google Cloud Cortex Framework.

Available Tiers & Options

Version 6

Strengths
  • Separate guides on data sources and workloads plus a quickstart demo path
Considerations
  • Older version; the current documentation presents version 7 as the current state

Typical Use Cases

Building a trusted data foundation in BigQuery from SAP source systems
Deploying prebuilt data modules instead of custom development
Automating build and deployment through CI/CD pipelines
Preparing data for analytics and agentic use cases

Technical Specifications

CLI cortex-build, cortex-deploy, and cortex-build-and-deploy, powered by standard Python tools (uv)
Configuration Compiles configuration files such as config.yaml and table_settings.yaml, analyzes the schemas of the source data assets including custom columns, and generates Dataform code from them
Data sources SAP ECC, SAP S/4HANA, and SAP Business Data Cloud (BDC) in version 7
Environments Local development machines, Cloud Shell or virtual workstations, and CI/CD systems such as Cloud Build or GitHub Actions
Services used BigQuery, Dataform, Knowledge Catalog, and the Gemini Enterprise Agent Platform

Frequently Asked Questions

What is Google Cloud Cortex Framework?

Google Cloud Cortex Framework provides solution accelerators that help you build trusted, high-quality data products ready for advanced analytics and agentic use cases. The framework uses Google Cloud products including BigQuery, Dataform, Knowledge Catalog, and the Gemini Enterprise Agent Platform.

Which source systems are supported?

Per the version 7 documentation, solution accelerators are available for SAP ECC, SAP S/4HANA, and SAP Business Data Cloud (BDC).

How is Cortex Framework deployed?

The solution accelerators are customizable, open source modules that you deploy securely within your own Google Cloud environment. The build and deployment framework orchestrates the transition from local configurations to Dataform pipelines and active BigQuery datasets, executed through the CLI scripts cortex-build, cortex-deploy, and cortex-build-and-deploy.

Where can the scripts be run?

Per the documentation, on local development machines for initial setup, customization, testing, and debugging; in Cloud Shell or virtual workstations as secure, cloud-hosted developer environments; and in CI/CD pipelines through systems such as Cloud Build or GitHub Actions.

What does Cortex Framework cost?

Google does not publish a dedicated pricing page for Cortex Framework. Because the modules run in your own Google Cloud environment, costs arise from the services used, such as BigQuery and Dataform.

Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of Google Cloud (official documentation). This page does not represent an offer by Google Cloud.

Google Cloud Partner

innFactory is a certified Google Cloud Partner. We provide expert consulting, implementation, and managed services.

Google Cloud Partner

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