Daviz Data Lakehouse
Store Diverse Data in One Analytical Foundation
Combine the flexibility of a data lake with the structure of a data warehouse to manage structured, semi-structured, and unstructured data within one platform.
Store and Scale
One Foundation for Structured and Unstructured Data
Combine data-lake flexibility with data-warehouse structure to store, manage, and analyze structured, semi-structured, and unstructured data within one platform.
Storage Layer
Store raw and processed data within a centralized environment.
Table Format Layer
Add structure, versioning, and table behavior above storage.
Metadata Catalog Layer
Record locations, schemas, versions, and relationships between data assets.
Processing Layer
Clean, transform, and analyze data using scalable compute resources.
Query Layer
Retrieve and analyze data through SQL and supported analytical interfaces.
Governance and Security Layer
Manage access, quality, policy, compliance, and protection across the platform.
Highlights
What Data Lakehouse delivers.
- 01Structured data — tables, databases, and spreadsheets
- 02Semi-structured data — JSON, XML, CSV, and email
- 03Unstructured data — documents, images, video, and audio
Questions
Common questions about Data Lakehouse.
What data types are supported?+
Structured, semi-structured, and unstructured data within one analytical foundation.
How is it different from a data warehouse?+
It combines data-lake flexibility with data-warehouse structure so diverse data can be stored and analyzed together.
Store and Scale
See Data Lakehouse in your context.
Discuss how Daviz Data Lakehouse can support your data and analytics environment.