Data Lakehouse Evaluation Form
Share your use case, data needs, and evaluation priorities.
What use case are you evaluating?
*
Which workload types are in scope?
*
Business intelligence and reporting
Data engineering and transformation
Advanced analytics and machine learning
Real-time or streaming analytics
Data sharing or data products
Other
What are your primary data sources?
*
What platform or architecture do you use today?
*
What is the approximate volume of data to support?
*
Under 1 TB
1–10 TB
11–100 TB
101 TB–1 PB
Over 1 PB
Not yet known
How fresh does the data need to be for key workloads?
*
Near real time
Within minutes
Hourly
Daily
Weekly or less often
Varies by workload
Who will use or operate the lakehouse?
*
Data engineers
Data analysts
Data scientists or machine learning teams
Application developers
Business users
Platform or operations teams
Other
Which technical capabilities are important?
*
Open table formats and interoperability
Streaming and batch processing
Workload performance and scaling
Data governance and access controls
Data quality and lineage
Cloud or deployment flexibility
Integration with existing tools
Other
What challenges or limitations should the evaluation address?
*
How will you measure success?
*
Submit Evaluation
Should be Empty: