Today, we're excited to announce two significant updates to the Replit and Databricks integration we launched in February: the user-to-machine (U2M) connector feature is now live, and the integration is now open for public preview sign-up.
ICYMI: Our February announcement introduced our joint integration for enterprise teams: the ability to build applications in Replit and deploy them directly into Databricks with the inherent governance, security, and compliance controls your organization already has in place, without any extra overhead. That initial release was powered by a machine-to-machine (M2M) connector and today, the addition of user-to-machine (U2M) takes it a level further, unlocking a new class of applications that simply weren't possible before.
Sensitive data has always been the hardest problem to solve in enterprise app development. Our newest U2M is how we're solving it. After a Replit application is built and deployed, Databricks is able to govern what each user can access based on Unity Catalog permissions on an individual user level without any separate builds or permission workarounds. This ensures that no users are granted access to data they wouldn’t normally be able to access.
From M2M to U2M
While M2M is powerful for company-wide tools with publicly sharable information, one of the drawbacks is that every user is granted access to the same view of the data.
Enterprise businesses don't operate on one-size-fits-all data access. An executive reviewing insider financials, an HR manager handling salary numbers, a finance analyst working restricted pipeline figures — each role carries a different data boundary, and those boundaries exist for a reason. Replit and Databricks built U2M to enforce those boundaries automatically. Build the application once, and let Databricks Unity Catalog ensure the right data reaches the right person, every time.
What Builders can do now
With both M2M and U2M available, teams can build across the full spectrum of enterprise data applications:
- M2M use cases — company-wide dashboards, operational tools, and shared analytics where all users see identical data.
- U2M use cases — executive and analyst collaboration tools, HR applications, finance dashboards, and compliance systems where data access is user-scoped and permission-aware.
The result: unlimited application types spanning different teams, all built in Replit, all running on top of governed Databricks data.
Better together: Replit | Databricks
Replit makes all your employees builders and gives a fast, collaborative environment to build data applications in plain English. Your apps can be deployed from Replit directly into Databricks–the running app automatically inherits Databricks authentication, Unity Catalog-enforced data governance and existing networking restrictions.
Enterprise security teams hold their systems to a high standard. Connecting new tools to those systems typically requires meaningful IT involvement: network reviews, custom configurations, and approvals require cycles.
Replit's Static IP support for Connectors is designed to meet those standards while easing the burden on IT teams while delivering the same trusted, controlled connectivity they'd get from a full private network project, without the time, cost, or complexity of standing one up. Security teams can approve Replit's known, stable set of IP addresses once and from that point forward Replit becomes a trusted, governed source of traffic, consistent with how other vendors are managed within your organization.
See it in action
Join us at Databricks AI Summit June 15–18 in San Francisco at Booth 651
Ready to try it for yourself? Request access here → https://replit.com/partners/databricks
Safe harbor statement
Any unreleased services, features, or functionality referenced in this document are not currently available and may not be delivered on time or at all. The decision to deliver any feature or functionality is at Replit's sole discretion. This document should not be relied upon in making purchasing decisions, and does not represent a commitment, promise, or legal obligation to deliver any material, code, or functionality. Features and timelines are subject to change at any time without notice. Customers should make purchase decisions based solely on features and services that are currently generally available.
