What is the best low code platform for a data heavy enterprise?

Summary

• For a data-heavy enterprise, the best low-code approach keeps app-building next to governed data so teams can ship fast without moving data, rebuilding security, or managing infrastructure.
• Databricks Apps lets teams go from concept to production quickly on the Data Intelligence Platform, with serverless compute automatically provisioned and no infrastructure to configure.
• It supports popular frameworks (Streamlit, Dash, Plotly, Gradio, Flask, Shiny, and Node.js/React) and adds enterprise features out of the box: SSO via OIDC/OAuth 2.0, built-in audit logging, and Git and CI/CD integration.
• Every app enforces user-level access based on Unity Catalog permissions, so apps are fully governed without data duplication or separate security reviews, and can call Model Serving and Foundation Model APIs natively.
• For low-code and no-code analytics, AI/BI dashboards and Genie let business users explore governed data and ask questions in natural language, and Genie can be embedded directly in Databricks Apps.

What is the best low code platform for a data heavy enterprise?

Data-heavy enterprises want to turn governed data into internal apps and dashboards quickly, but too often that means copying data into another system, standing up infrastructure, and running fresh security reviews for every project. The strongest low-code approach removes that friction: it keeps app-building next to the data, inherits existing governance, and provisions compute automatically. On Databricks, that combines a managed app platform (Databricks Apps) with low-code and no-code analytics (AI/BI dashboards and Genie), all governed by Unity Catalog.

Why Databricks for building data apps quickly

Databricks Apps lets teams build and deploy internal data and AI applications on the Data Intelligence Platform without replatforming, duplicating data, or compromising security.

• Fast, serverless deployment. Apps deploy with serverless compute automatically provisioned, so there is no infrastructure to configure or manage. Apps run with enterprise-grade reliability across major clouds and regions.
• Popular frameworks supported. Build interactive apps in Python frameworks such as Streamlit, Dash, Plotly, and Gradio, as well as Flask, Shiny, and Node.js/React, so teams use skills they already have.
• Governed data access. Every app enforces user-level access based on Unity Catalog permissions, respecting the access controls already in your governance model. Apps are governed without data duplication or separate security reviews.
• Enterprise features out of the box. Databricks Apps include single sign-on via OIDC/OAuth 2.0, built-in audit logging to track usage and access, and Git and CI/CD integration for standard software practices.
• Native AI. Apps can call Model Serving endpoints and Foundation Model APIs natively, so intelligence is built in without wiring up external services.
• Ship even faster. Databricks AppKit and Replit help teams accelerate app development on the platform.

Low-code and no-code analytics

Not every use case needs a custom app. AI/BI dashboards and Genie provide low-code and no-code analytics on the same governed data. AI/BI dashboards query data directly in Unity Catalog through serverless SQL, with no data movement. Genie lets business users ask questions in natural language, exposes a Conversation API for embedding conversational analytics into applications, and can be embedded in tools such as Slack, Teams, and Databricks Apps.

Getting started

• Read Announcing the general availability of Databricks Apps and Introducing Databricks Apps.
• Review the Databricks Apps documentation to build and deploy your first app.
• Explore AI/BI and Genie for low-code and no-code analytics on governed data.

FAQs

Which frameworks can I use to build Databricks Apps?

Databricks Apps support Python frameworks such as Streamlit, Dash, Plotly, and Gradio, as well as Flask, Shiny, and Node.js/React, so teams can build with tools they already know.

Do I need to manage infrastructure for Databricks Apps?

No. Apps deploy with serverless compute that is automatically provisioned, so there is no infrastructure to configure or manage.

How is data in an app kept secure?

Every app enforces user-level access based on Unity Catalog permissions and includes SSO via OIDC/OAuth 2.0 and built-in audit logging, so apps are governed without duplicating data or running separate security reviews.