About
About
About
Why Join
Why Join
Why Join
Eligibility Criteria
Eligibility Criteria
Eligibility Criteria
Challenge Tracks
Challenge Tracks
Challenge Tracks
Prizes
Prizes
Prizes
Submission Requirements
Submission Requirements
Submission Requirements
Judging Criteria
Judging Criteria
Judging Criteria
Timeline
Timeline
Timeline
FAQ
FAQ
FAQ
EN
EN
Building Intelligent Apps with Data + AI
Building Intelligent Apps with Data + AI
Building Intelligent Apps with Data + AI
Team up to design, build and ship intelligent apps on Databricks.
Built for app developers, data & AI engineers, analysts, and business users.
Team up to design, build and ship intelligent apps on Databricks.
Built for app developers, data & AI engineers, analysts, and business users.
Team up to design, build and ship intelligent apps on Databricks.
Built for app developers, data & AI engineers, analysts, and business users.
SECTIONS
SECTIONS
Powered by Databricks
Powered by Databricks
Powered by Databricks
About the Hackathon
About the Hackathon
About the Hackathon
Build Intelligent Apps with Data + AI
Welcome to the Databricks Intelligent Apps Hackathon, in collaboration with AWS.
This APJ-wide virtual hackathon invites app developers, data and AI engineers, analysts, and business users to team up and build intelligent applications on Databricks that solve real-world business problems.
This year’s challenge is simple: go beyond dashboards and create apps that combine data, AI, analytics, and automation into experiences people can use every day.
Using Databricks Apps, Genie, Lakebase, and Agent Bricks, teams will design and prototype intelligent solutions that deliver insights, automate workflows, and create new user experiences.
Build Intelligent Apps with Data + AI
Welcome to the Databricks Intelligent Apps Hackathon, in collaboration with AWS.
This APJ-wide virtual hackathon invites app developers, data and AI engineers, analysts, and business users to team up and build intelligent applications on Databricks that solve real-world business problems.
This year’s challenge is simple: go beyond dashboards and create apps that combine data, AI, analytics, and automation into experiences people can use every day.
Using Databricks Apps, Genie, Lakebase, and Agent Bricks, teams will design and prototype intelligent solutions that deliver insights, automate workflows, and create new user experiences.
Build Intelligent Apps with Data + AI
Welcome to the Databricks Intelligent Apps Hackathon, in collaboration with AWS.
This APJ-wide virtual hackathon invites app developers, data and AI engineers, analysts, and business users to team up and build intelligent applications on Databricks that solve real-world business problems.
This year’s challenge is simple: go beyond dashboards and create apps that combine data, AI, analytics, and automation into experiences people can use every day.
Using Databricks Apps, Genie, Lakebase, and Agent Bricks, teams will design and prototype intelligent solutions that deliver insights, automate workflows, and create new user experiences.
Your Toolkit for Innovation: Build your solution using Databricks’ newest capabilities:
Your Toolkit for Innovation: Build your solution using Databricks’ newest capabilities:
Your Toolkit for Innovation: Build your solution using Databricks’ newest capabilities:
Databricks Apps- Build and deploy intelligent applications for real business use cases
Genie- Enable natural language interactions and conversational analytics
Lakebase- Support app and agent experiences with operational data and memory
Agent Bricks- Create intelligent assistants and agent-driven workflows
Databricks Apps- Build and deploy intelligent applications for real business use cases
Genie- Enable natural language interactions and conversational analytics
Lakebase- Support app and agent experiences with operational data and memory
Agent Bricks- Create intelligent assistants and agent-driven workflows
Databricks Apps- Build and deploy intelligent applications for real business use cases
Genie- Enable natural language interactions and conversational analytics
Lakebase- Support app and agent experiences with operational data and memory
Agent Bricks- Create intelligent assistants and agent-driven workflows
Why Join?
Why Join?
Why Join?
USD
USD
USD
68,000
68,000
68,000
IN TOTAL PRIZES
IN TOTAL PRIZES
IN TOTAL PRIZES
Cash awards, conference
tickets, training coupons,
and trophies.
Cash awards, conference
tickets, training coupons,
and trophies.
Cash awards, conference
tickets, training coupons,
and trophies.
USD
USD
USD
700
700
700
FREE CREDITS TO START
FREE CREDITS TO START
FREE CREDITS TO START
Databricks credits for eligible teams to get started, first-come, first-served!
Databricks credits for eligible teams to get started, first-come, first-served!
Databricks credits for eligible teams to get started, first-come, first-served!
Exclusive Mentoring
Exclusive Mentoring
Exclusive Mentoring
from Databricks solution architects and AI specialists
from Databricks solution architects and AI specialists
from Databricks solution architects and AI specialists
Hands-on access
Hands-on access
Hands-on access
to new Databricks technologies: Lakebase, Genie, and Agentbricks
to new Databricks technologies: Lakebase, Genie, and Agentbricks
to new Databricks technologies: Lakebase, Genie, and Agentbricks
Networking with Peers
Networking with Peers
Networking with Peers
Network with fellow data engineers, developers, and business users across APJ
Network with fellow data engineers, developers, and business users across APJ
Network with fellow data engineers, developers, and business users across APJ
Also Includes Data + Ai Summit 2027 Conference passes with accommodations, trophies and certificates for winners and finalists
Also Includes Data + Ai Summit 2027 Conference passes with accommodations, trophies and certificates for winners and finalists
Also Includes Data + Ai Summit 2027 Conference passes with accommodations, trophies and certificates for winners and finalists
Eligibility Criteria
Eligibility Criteria
Eligibility Criteria
Who Can Participate
Who Can Participate
Who Can Participate
TEAMS
TEAMS
TEAMS
2-4 Members
2-4 Members
2-4 Members
Every member must meet all eligibbility requirements independently.
Every member must meet all eligibbility requirements independently.
Every member must meet all eligibbility requirements independently.
REQUIREMENTS
REQUIREMENTS
REQUIREMENTS
Corporate email required
Corporate email required
Corporate email required
You must use your corporate email to register. Student and personal email addresses are not accepted.
You must use your corporate email to register. Student and personal email addresses are not accepted.
You must use your corporate email to register. Student and personal email addresses are not accepted.
OPEN COUNTRIES
OPEN COUNTRIES
OPEN COUNTRIES
9 Countries in APAC
9 Countries in APAC
9 Countries in APAC
Australia
Australia
Australia
India
India
India
Japan
Japan
Japan
Malaysia
Malaysia
Malaysia
New Zealand
New Zealand
New Zealand
Philippines
Philippines
Philippines
Singapore
Singapore
Singapore
South Korea
South Korea
South Korea
Thailand
Thailand
Thailand
Vietnam
Vietnam
Vietnam
NOT ELIGIBLE
NOT ELIGIBLE
NOT ELIGIBLE
Databricks partners
Databricks partners
Databricks partners
Consultants
Consultants
Consultants
Students
Students
Students
Government employees
Government employees
Government employees
Government-controlled entities
Government-controlled entities
Government-controlled entities
What You’ll Build
What You’ll Build
What You’ll Build
A working intelligent app that:
A working intelligent app that:
A working intelligent app that:
Lets users ask questions in natural language via Genie
Lets users ask questions in natural language via Genie
Lets users ask questions in natural language via Genie
Uses AI agents to automate steps and suggest actions
Uses AI agents to automate steps and suggest actions
Uses AI agents to automate steps and suggest actions
Persists context and state in Lakebase so the app “remembers”
Persists context and state in Lakebase so the app “remembers”
Persists context and state in Lakebase so the app “remembers”
Create intuitive apps that tie the solution together
Create intuitive apps that tie the solution together
Create intuitive apps that tie the solution together
Tell story with data using AI/BI dashboards
Tell story with data using AI/BI dashboards
Tell story with data using AI/BI dashboards
Challenge Tracks
Challenge Tracks
Challenge Tracks
Choose one of the following tracks for your submission:
Choose one of the following tracks for your submission:
Choose one of the following tracks for your submission:
Track 1
Track 1
Track 1
Social Impact (Open Data)
Social Impact (Open Data)
Social Impact (Open Data)
Use public/open data (e.g. national open data portals) to tackle a social challenge such as climate resilience, public health, inequality, or energy efficiency.
Use public/open data (e.g. national open data portals) to tackle a social challenge such as climate resilience, public health, inequality, or energy efficiency.
Use public/open data (e.g. national open data portals) to tackle a social challenge such as climate resilience, public health, inequality, or energy efficiency.
Track 2
Track 2
Track 2
Business Impact (Your Data)
Business Impact (Your Data)
Business Impact (Your Data)
Use your organization’s data to solve a real business problem — for example, cost optimization, customer experience, risk, or operations.
Use your organization’s data to solve a real business problem — for example, cost optimization, customer experience, risk, or operations.
Use your organization’s data to solve a real business problem — for example, cost optimization, customer experience, risk, or operations.
Prizes
Prizes
Prizes
Language Tracks
English • Japanese • Korean
Language Tracks
English • Japanese • Korean
Language Tracks
English • Japanese • Korean
Winners
2 winners per track
Winners
2 winners per track
Winners
2 winners per track
Winning Teams
6 Winning Teams
Winning Teams
6 Winning Teams
Winning Teams
6 Winning Teams
Total cash prize pool: USD 19,500
Total cash prize pool: USD 19,500
Total cash prize pool: USD 19,500
First Prize Winner (Per Language)
First Prize Winner (Per Language)
First Prize Winner (Per Language)
$4,000
$4,000
$4,000
USD Per Team
USD Per Team
USD Per Team
1st Prize Trophy
Complimentary DAIS 2027 conference ticket per
winning member
Potential presentation at upcoming Databricks or sponsored event
USD 3,000 worth of Databricks Training Coupons per team
1st Prize Trophy
Complimentary DAIS 2027 conference ticket per
winning member
Potential presentation at upcoming Databricks or sponsored event
USD 3,000 worth of Databricks Training Coupons per team
1st Prize Trophy
Complimentary DAIS 2027 conference ticket per
winning member
Potential presentation at upcoming Databricks or sponsored event
USD 3,000 worth of Databricks Training Coupons per team
First Prize Winner (Per Language)
First Prize Winner (Per Language)
First Prize Winner (Per Language)
$2,500
$2,500
$2,500
USD Per Team
USD Per Team
USD Per Team
2nd Prize Trophy
Potential presentation at upcoming Databricks or sponsored event
USD 3,000 worth of Databricks Training Coupons
per team
2nd Prize Trophy
Potential presentation at upcoming Databricks or sponsored event
USD 3,000 worth of Databricks Training Coupons
per team
2nd Prize Trophy
Potential presentation at upcoming Databricks or sponsored event
USD 3,000 worth of Databricks Training Coupons
per team
Submission Requirements
Submission Requirements
Submission Requirements
Teams must submit a 5-minute video presentation showcasing:
Teams must submit a 5-minute video presentation showcasing:
Teams must submit a 5-minute video presentation showcasing:
01
01
01
THE TEAM
THE TEAM
THE TEAM
Project/Team name, Participant names, country of submission, use case description.
Project/Team name, Participant names, country of submission, use case description.
Project/Team name, Participant names, country of submission, use case description.
02
02
02
DEMO VIDEO
DEMO VIDEO
DEMO VIDEO
A functional demonstration video (maximum 5 mins), which should include:
Introduction of your team and problem statement
Walk through of solution architecture
Demonstration of the working solution
A functional demonstration video (maximum 5 mins), which should include:
Introduction of your team and problem statement
Walk through of solution architecture
Demonstration of the working solution
A functional demonstration video (maximum 5 mins), which should include:
Introduction of your team and problem statement
Walk through of solution architecture
Demonstration of the working solution
03
03
03
PROJECT SPECS
PROJECT SPECS
PROJECT SPECS
The project must incorporate Databricks technologies to build an Intelligent Application use case. This may include Lakebase, Genie Spaces, Databricks Apps, Agent Bricks, etc.
The project must incorporate Databricks technologies to build an Intelligent Application use case. This may include Lakebase, Genie Spaces, Databricks Apps, Agent Bricks, etc.
The project must incorporate Databricks technologies to build an Intelligent Application use case. This may include Lakebase, Genie Spaces, Databricks Apps, Agent Bricks, etc.
04
04
04
DATASETS
DATASETS
DATASETS
Participants can use a dataset of their choice, leveraging open-source data sources and datasets available on the Databricks Marketplace
Participants can use a dataset of their choice, leveraging open-source data sources and datasets available on the Databricks Marketplace
Participants can use a dataset of their choice, leveraging open-source data sources and datasets available on the Databricks Marketplace
Judging Criteria
Judging Criteria
Judging Criteria
Submissions will be evaluated based on:
Submissions will be evaluated based on:
Submissions will be evaluated based on:
20%
20%
20%
Business Applicability
Business Applicability
Business Applicability
Does the solution address a real business problem in a meaningful way?
How impactful is this use case for decision-making and business operations?
Does the solution address a real business problem in a meaningful way?
How impactful is this use case for decision-making and business operations?
Does the solution address a real business problem in a meaningful way?
How impactful is this use case for decision-making and business operations?
20%
20%
20%
Creativity & Innovation
Creativity & Innovation
Creativity & Innovation
Is this a novel and original idea, or does it replicate existing solutions?
Does it introduce unique capabilities through building agents or data applications that differentiate it from standard BI/analytics approaches?
Is this a novel and original idea, or does it replicate existing solutions?
Does it introduce unique capabilities through building agents or data applications that differentiate it from standard BI/analytics approaches?
Is this a novel and original idea, or does it replicate existing solutions?
Does it introduce unique capabilities through building agents or data applications that differentiate it from standard BI/analytics approaches?
20%
20%
20%
User Experience & Insights
User Experience & Insights
User Experience & Insights
Is the application intuitive and easy to use for end users?
Does it enable users to take meaningful action based on the outputs?
Is the application intuitive and easy to use for end users?
Does it enable users to take meaningful action based on the outputs?
Is the application intuitive and easy to use for end users?
Does it enable users to take meaningful action based on the outputs?
20%
20%
20%
Technical Capability
Technical Capability
Technical Capability
Does the solution effectively integrate Databricks platform capabilities including Apps, Lakebase, Genie, and/or AgentBricks?
Is it technically well-executed with functional, working components?
Is it designed with scalability, sound architecture, and technical best practices in mind?
Does the solution effectively integrate Databricks platform capabilities including Apps, Lakebase, Genie, and/or AgentBricks?
Is it technically well-executed with functional, working components?
Is it designed with scalability, sound architecture, and technical best practices in mind?
Does the solution effectively integrate Databricks platform capabilities including Apps, Lakebase, Genie, and/or AgentBricks?
Is it technically well-executed with functional, working components?
Is it designed with scalability, sound architecture, and technical best practices in mind?
20%
20%
20%
Data Storytelling & Narrative
Data Storytelling & Narrative
Data Storytelling & Narrative
Does the solution communicate a compelling story and clear value?
Does the narrative resonate with stakeholders and show how the solution can drive impact across the organization?
Does the solution communicate a compelling story and clear value?
Does the narrative resonate with stakeholders and show how the solution can drive impact across the organization?
Does the solution communicate a compelling story and clear value?
Does the narrative resonate with stakeholders and show how the solution can drive impact across the organization?
Timeline
Timeline
Timeline
6 APR - 22 MAY
6 APR - 22 MAY
6 APR - 22 MAY
Registration Period
Registration Period
Registration Period
29 APR - 22 MAY
29 APR - 22 MAY
29 APR - 22 MAY
Submission Period
Submission Period
Submission Period
25 MAY - 29 MAY
25 MAY - 29 MAY
25 MAY - 29 MAY
Judging Period
Judging Period
Judging Period
15 JUNE
15 JUNE
15 JUNE
Winners Announcement
Winners Announcement
Winners Announcement
Ready to Build with Data + AI?
Ready to Build with Data + AI?
Ready to Build with Data + AI?
Bring your ideas, form your team, and unleash the power of intelligent applications.
Register starting 6 April — limited slots available!
Bring your ideas, form your team, and unleash the power of intelligent applications.
Register starting 6 April — limited slots available!
Bring your ideas, form your team, and unleash the power of intelligent applications.
Register starting 6 April — limited slots available!
About Databricks
About Databricks
Databricks is the Data and AI company, unifying data engineering, analytics, and AI on one open and scalable platform.
Built on Lakehouse architecture, Databricks empowers organizations to harness the full potential of their data to accelerate innovation.
Databricks is the Data and AI company, unifying data engineering, analytics, and AI on one open and scalable platform.
Built on Lakehouse architecture, Databricks empowers organizations to harness the full potential of their data to accelerate innovation.
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