Building What’s Next. Together. Introducing the Brickbuilder Partner Network for the Agentic AI Era

· Source: Databricks · Field: Business & Management — Sales & Commercial Development, Consulting & Professional Services, Corporate Strategy & Leadership · Depth: Fundamental Awareness, short

Summary

Databricks has launched the Brickbuilder Partner Network (BPN), a unified global partner program designed to accelerate growth and innovation for its ecosystem of over 7,000 partners, including Consulting & SI partners, ISVs, and data providers. This program introduces a new globally recognized tiering structure (Bronze, Silver, Gold, Platinum) and a "Velocity" incentive model that rewards partners based on customer lifecycle consumption rather than bookings. The Velocity model focuses on "Source, Activate, and Grow" to drive new use cases, early adoption, and recurring consumption rebates. Databricks is also expanding investments in AI-driven advocacy, demand generation through Market Development Funds (MDF), and a Specialization Program covering 6 Core Industries and 4 Core Products, including GenAI and Lakeflow, to help partners differentiate and scale in the emerging agentic AI era.

Key takeaway

For Consulting & SI partners and ISVs looking to capitalize on the agentic AI market, the new Brickbuilder Partner Network offers a clear path to growth. You should engage with your Partner Account Manager to understand how the unified tiering, "Velocity" incentive model, and specialization programs can align your practice with Databricks' consumption-driven economics and enhance your market differentiation. Focus on driving customer lifecycle value to maximize recurring rebates and leverage new AI-driven advocacy tools.

Key insights

Databricks' new partner program unifies tiers and incentivizes consumption to drive growth in the agentic AI market.

Principles

Method

The "Velocity" incentive program rewards partners for "Source" (new use cases), "Activate" (early adoption), and "Grow" (recurring consumption rebates) within a consumption-centric model.

In practice

Topics

Best for: Consultant, AI Product Manager, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Databricks.