Becoming the most comprehensive data & AI ecosystem on earth

· Source: Databricks · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Cloud Computing & IT Infrastructure · Depth: Intermediate, long

Summary

Databricks has significantly expanded its data and AI ecosystem for partners, addressing key requests for improved go-to-market (GTM) support, technical guidance, and Marketplace transaction capabilities. Over the past year, Databricks introduced a new partner tiering program and a Partner Well-Architected Framework (PWAF). This week, Databricks launched Marketplace Commit Drawdown, allowing partners to access customers' pre-committed spend to accelerate deals. Partners can now list and share Databricks Apps on the Marketplace, a product line seeing 5X growth and 5,000 weekly active accounts. The company also announced OpenSharing, an open-source protocol for structured and unstructured data, agent skills, and AI models, extending to on-premises storage through the Open Lakehouse Storage Ecosystem. Genie Agents can also be shared via OpenSharing and listed on the Marketplace, enabling novel "pay-per-question" models. Databricks serves over 20,000 customers, including 70% of the Fortune 500, with an annual run rate exceeding \$5B, growing over 65% YoY.

Key takeaway

For AI Product Managers or ISVs seeking to expand market reach and accelerate sales, Databricks' enhanced ecosystem offers significant opportunities. You should explore listing your Databricks Apps and Genie Agents on the Marketplace to tap into 20,000 customers and utilize commit drawdown for faster deals. Utilize OpenSharing to enable novel commercial models like "pay-per-question" and integrate with on-premises data. This broadens your solution's applicability and monetization potential.

Key insights

Databricks is building an open, comprehensive data and AI ecosystem to enable partners to build, sell, share, and monetize solutions.

Principles

Method

Partners integrate solutions with Databricks using PWAF, list on Marketplace for commit drawdown, and utilize OpenSharing for data, apps, and agents.

In practice

Topics

Best for: CTO, VP of Engineering/Data, AI Architect, Director of AI/ML, AI Product Manager, Consultant

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