Free Download: From Idea to Production in 30 Days

Strategic brief for tech leaders to develop secure, production-ready AI applications entirely on Databricks—without migrations, security risks, or technical debt.

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WHAT'S INSIDE THE BRIEF

Starter kit for Databricks application development

Databricks Apps advantage

Everything we’ve learned from pioneering Databricks Apps to help you cut time to production from months to weeks.

One-platform formula

Field-tested strategy that uses the full power of the Databricks platform to build secure, governed software driven by data+AI.

Two real stories in prod

Fortune 500 FSI and healthcare projects with architecture blueprints, stack breakdown, scaling benchmarks, and real KPIs.

Honest FAQ section

Addressing burning questions about AI hallucinations, scalability, migration, security, governance, and compatibility.

See it in action: Healthcare AI app deployed in 4 weeks

Healthcare application handling multisource, multiformat patient data with explainable AI, governed data flows, and full regulatory compliance (HIPAA, GDPR)—built faster than most teams can get through security approvals.

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Low-code solution for high-stakes challenges

Challenge

  • Slow release cycles: Application rollouts stall for months of infrastructure setups, security approvals, and boilerplate development.
  • Fragmentation: Siloed teams and multiple stacks leading to hand-offs, integration complexity, and gaps between tech and business.
  • Fear of black box: Lack of transparency and governance in AI systems erodes trust, stalls adoption, and raises compliance risks.
  • Locked AI value: AI insights sit in models and notebooks invisible to end users who could actually act on them to capture value and ROI. 

Solution in the brief

  • 30-day-to-production roadmap: To develop and deploy scalable AI applications without infrastructure headaches and custom DevOps.
  • One-platform approach for data, AI, and apps: With Databricks services for every function and task, accelerating data velocity and development workflows.
  • Toolset for enterprise-ready, trustworthy data and AI: Built-in governance, security, and guardrails that make applications auditable and compliant from day one.
  • Stories of ROI-driving AI apps in production: Custom interactive applications running on live Databricks data, delivering AI insights directly to users. 

Created by Databricks Apps pioneers

The insider team that's been developing enterprise-scale, production-ready AI applications on Databricks Apps since before its first public preview.

Databricks Select consulting partner

First-mover experience

With reusable boilerplate, stress–tested scaling framework, proven architecture blueprints, and practically engineered workarounds for AI hallucinations.

Databricks Select Partner

Member of the Product Advisory Board, with 50+ Databricks certifications, 2 in-house Databricks MVPs, and featured speakers at Data+AI Summit 2025.

Real-world use cases

Currently running the largest Databricks Apps application in production, live at Fortune 500 scale.

Clients who trust us

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  • Unicredit logo
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FOR TECH TEAMS RUNNING DATABRICKS WORKLOADS

Get your free copy

See how this roadmap fits your Databricks stack and helps you move from idea to production in 30 days. Instant access, no email required.

More Databricks Apps resources

Databricks application development DAIS talk video

30-Day Roadmap Live at DAIS 2025

Domonkos Pál live on stage at Databricks Data+AI Summit 2025 presenting a real success story of developing an AI application on Databricks Apps in 30 days.

Databricks application development FastAPI app repo

Databricks Apps GitHub Repository

Get a head start in Databricks application development with a real sample of an AI app, including project structure, setup, configuration, orchestration, and tech stack.

Databricks application development case study

Case Study: Healthcare AI Application

Secure, governed AI application built entirely on Databricks provides a 360 patient view with GenAI summarization, risk prediction, and RAG to query medical data.