Databricks Data Intelligence Platform
Business Profile
Core Value Proposition
Databricks Data Intelligence Platform provides a unified platform for data, analytics and AI to help enterprises unify data, scale GenAI, and govern AI at scale
Target Customer
C-suite executives and senior data/IT leaders responsible for data strategy and AI initiatives (e.g., Chief Data & Analytics Officer, CIO, Chief Information & Digital Officer, VP of Enterprise Data and Analytics)
Key Differentiator
Unifies data, AI and governance on a single Lakehouse-based platform with open data sharing, serverless data warehousing, and built-in governance, enabling scalable GenAI deployment across the organization
Implementation Timeline
Value evidenced by ROI of 482% with payback in under four months; other performance improvements highlighted (e.g., 12x price/performance)
Pain Points
- 1Data silos preventing unified analytics and AI across the organization
- 2AI governance and data privacy concerns when scaling GenAI
- 3Shortage of technical talent to manage complex data systems and AI pipelines
Key Features
- 1Unified platform for data, analytics and AI (Databricks Data Intelligence Platform)
- 2Lakehouse architecture enabling data governance, sharing and access
- 3Open data sharing with zero-copy and no proprietary formats
- 4Serverless data warehousing for SQL analytics and AI workloads
- 5End-to-end governance and lineage across data, analytics and AI
Target Customer Industries
Decision Makers
- 1Chief Data and Analytics Officer
- 2Chief Information and Digital Officer
- 3CIO
- 4VP, Enterprise Data and Analytics
Client Results
- 1Customers report a 482% ROI and a payback in under four months using the Data Intelligence Platform
- 211+ to 12x price/performance improvements for SQL and BI workloads when using lakehouse vs legacy cloud data warehouses
Competitive Advantages
- 1Lakehouse architecture enables unified data, AI and governance with high performance
- 2Open data sharing without proprietary formats or expensive replication
- 3Serverless management reduces complexity of data warehousing
- 4Cost efficiency through unified platform and governance
- 5Strong governance and observability across data and AI assets
Key Benefits
Case Studies & Success Stories
Tufts Medicine case study
Chief Data & Analytics Officer emphasizes rapid adoption of GenAI on proprietary data and democratization of business insights
Rolls-Royce case study
Chief Information and Digital Officer highlights smarter inventory decisions from data analytics
DuPont Water & Protection case study
CIO cites cost-performance advantages of the lakehouse approach
Adobe case study
VP, Enterprise Data and Analytics notes Databricks outperforms legacy software and delivers cost/performance gains
Shell case study
CIO remarks on rapid data integration and cost performance benefits
Additional Product Information
Product Description
A unified platform for data, analytics and AI built on lakehouse architecture, enabling data governance, secure data sharing, ETL/ELT, data warehousing, and AI/ML deployment across the enterprise
Target Market
Enterprises and large organizations seeking to unify data and AI at scale, with executives overseeing data, IT, and operations
Unique Value Proposition
Unifies data, AI and governance on a single platform with lakehouse architecture and open data sharing, enabling scalable GenAI deployment and governance across the organization
Technical Requirements
Cloud deployment across AWS, Azure, GCP and SAP; serverless architecture; open formats and APIs; integrations via IDEs and Databricks Marketplace; DBU-based pricing
Pricing Model
Pricing information exists on the Databricks pricing pages (DBUs-based pricing and cost calculator); no specific numbers provided in the content
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