Databricks has launched a public preview of what is essentially an app store for enterprise data teams. Companies that already run Databricks, a platform for storing, analyzing, and building AI on top of business data, can now browse a catalog of third-party apps, click install, and have them running inside their own account within minutes.
The key word is "inside." That is what makes this different from simply buying software. Normally, when a company adopts a new analytics tool, data has to travel: it gets exported from your systems, uploaded to the vendor's platform, processed there, and results come back. Each step is a potential security and compliance problem, and each step requires someone in IT to set it up. This new model flips that. The app lives in your environment, touches your data where it already sits, and runs under the same security rules your company already has in place.
Databricks serves over 20,000 customers globally, including more than 60% of the Fortune 500. The company crossed a revenue run-rate of $5.4 billion in early 2026, growing more than 65% year over year. That scale matters here because it tells you how large the potential audience is for any vendor that builds on this marketplace. Twenty launch partners are already live, including Capital One Software, The Trade Desk, and Datavant, covering use cases in financial data sharing, advertising analytics, and healthcare record management.
The friction that this removes is real and significant. Today, when a procurement team or operations director wants a new data tool, the process typically involves IT security reviews, legal contract reviews, data processing agreements, and months of back-and-forth. That is not exaggeration; it is the standard enterprise software procurement experience. By running apps inside the customer's own environment, many of those compliance hurdles shrink, because there is no new vendor receiving your data.
For the companies selling these apps, the model is also a meaningful shift. Traditionally, every new enterprise customer requires separate onboarding: infrastructure setup, integration work, security reviews on both sides. With this marketplace, a software vendor builds once and makes it available to thousands of Databricks customers with no per-customer infrastructure to manage. That can shorten a B2B sales cycle from months to days.
The direct competitor here is Snowflake, which runs its own data marketplace. Both platforms offer data marketplaces to discover and access third-party datasets, applications, and services. The difference Databricks is pushing is that its native app runtime is tighter, with apps running directly on the customer's compute under unified governance rules. The competitive angle is worth watching, because whichever platform becomes the default place enterprises install data software will have enormous influence over what software gets used at all.
For non-technical professionals reading this: the practical implication is that if your company runs Databricks, your team may soon be able to trial and install certain analytics or AI tools without waiting months for IT procurement. That is a genuine shift in how quickly business departments can act on new capabilities. The catch is that someone still needs to approve the install and decide which apps are appropriate for your data. That decision does not go away; it just moves earlier in the process.