Becoming the most comprehensive data & AI ecosystem on earth

Becoming the most comprehensive data & AI ecosystem on earth | Databricks Blog Skip to main content

Summary

Databricks is expanding its Data and AI partner ecosystem with new Marketplace, Apps, OpenSharing, and Genie Agent capabilities that help partners build, distribute, share, and monetize solutions on the Databricks platform.

The new capabilities address key partner challenges around go-to-market support, technical integration guidance, and lengthy sales cycles by providing access to Databricks customers’ pre-committed spend, streamlined distribution channels, and open sharing across clouds and platforms.

Partners can now accelerate deal velocity, reach more than 20,000 Databricks customers, unlock new AI-era business models such as pay-per-question, and monetize data, applications, and AI assets more effectively.

All in all, we’re just another brick in the wall As I complete my first year at Databricks, I thought it would be fun to summarize the bricks we're laying for ISVs and data providers to become your most strategic partner. Over the last year, I've met with hundreds of you to learn what you think we're doing well, what we need to improve, and what you'd need to see for us to become your most strategic partner. Most of you said we're the "horse to bet on", but you wanted 3 stronger "bricks" in our wall: 1) better GTM support, 2) more prescriptive technical guidance, and 3) the ability to transact on our Marketplace. At our Partner Kickoff in February, I announced how we've laid the first two bricks: a new partner tiering program offering increasing GTM support the more business we drive together, and a Partner Well-Architected Framework (or PWAF) with clear technical guidance for integrating with Databricks (read about all the goodies David Porter and his team have added to PWAF since here ). This week at DAIS, we're laying the third: you can now access our customers’ pre-committed spend to speed up your deals on our Marketplace. But we didn’t stop there. You can now also list and share Databricks Apps and Genie Agents, which we believe opens the door for innovative new commercial models, like “pay-per-question” (keep reading if that sounds interesting). To reiterate the vision we laid out in Feb , we aspire to offer customers any tool, model, dataset, or agent they need, and help you grow your business along the way . We think these bricks give us a shot at fulfilling that vision, and we hope you're as excited as we are to add "another brick in the wall" with your brand on it. Together, brick by brick, we can deliver customers the most comprehensive data and AI capabilities on earth. As always, let me know what we need to do better to keep building together ( stephen.orban@databricks.com ).

One wall. Many bricks. More ways for partners to build, sell, share, and monetize with Databricks. Momentum begets momentum (what you meant by Databricks being the "horse to bet on") Anecdotally, most of you told us your Databricks partnership is growing faster than your other partnerships, and you're looking for ways to capitalize on our joint momentum. By the numbers, more than 20,000 customers - including over 70% of the Fortune 500 - rely on Databricks to detect fraud, discover new drugs, optimize their supply chain, personalize customer experiences, and more. This diverse set of customers and use cases has propelled our annual run rate more than 65% YoY past $5B. Marketplace Commit Drawdown, Transactability, Apps, Genie Agents, OpenSharing, oh my! I realize many of the conversations we've had over the last year may have a selection bias toward Marketplaces, since many of you worked with me on AWS's or Google Cloud's Marketplace over the last decade. But, it's impossible to ignore how many of you asked us for new ways to reach our customers, access our committed backlog, and incentives for our sales teams to land your solutions. So, without further ado, we're excited to announce a plethora of new Marketplace capabilities and new sharing/delivery models to drive commercial innovation, particularly for those with proprietary data sets. New! Marketplace Commit Drawdown Pilot Starting this week, customers with a Universal Commit can submit invoices for eligible partner solutions on Databricks Marketplace . Once we validate that the transaction runs on and/or shares data to Databricks, we'll decrement the customer's commitment obligation accordingly and compensate our sales team for helping you with their account. Customers get the solutions they need on Databricks, you get access to pre-committed budget to accelerate deals, and our sellers are all motivated to lean in. Everyone wins. Later this year, we'll launch transactability, where customers will be able to use their pre-paid spend and/or our billing systems to buy eligible partner solutions, and we'll handle the remittance minus a small (industry-standard) fee to cover our transaction costs. Solutions must run on or share data to Databricks to be eligible, and partners with eligible solutions include AccuWeather, Acxiom, Anomalo, Anvilogic, Arctic Wolf, AtScale, Cognition, Datavant, Definitive Healthcare, Domo, Dun & Bradstreet, Engine, Epsilon, FactSet, Fivetran, Health Catalyst, Intent, Komodo, Kythera, LakeFusion, Monte Carlo, mParticle, Omni Analytics, OneTrust, Qlik, Replit, Sigma Computing, ThoughtSpot, TrendAI, ZoomInfo. Many of our customers choose Sigma because of how well-integrated we are across Databricks' vast surface area. Over 300 customers choose Sigma on Databricks for best-in-class AI and Analytics. Being able to speed up our sales cycles on the Databricks Marketplace is a natural extension of our relationship, and we're excited to help Databricks shape and grow their offering. — Mike Palmer, CEO, Sigma Computing New! Distribute your Databricks Apps on Marketplace We launched Databricks Apps in November of 2024, and it's quickly become one of our fastest-growing product lines by almost every metric. We’ve seen 5X growth since last year’s summit, with more than 5,000 accounts running Apps in production weekly. Our top 100 Apps customers have deployed on average over 250 production Apps, with use cases ranging from custom analytics dashboards, ops portals, job workflow managers, AI chat interfaces, data tagging workflows, custom model interfaces, and more. And, a significant chunk of Apps adoption...