Virtual Data Lakehouse
bricks Virtual Data Lakehouse unifies data across across data warehouses and cloud sources through a powerful virtual query layer. Built on bricks Technology, it delivers in-place analytics, unified governance, and consistent metadata — creating a single semantic view of enterprise data. This enables faster, trusted insights without the need for complex ETL or data movement.
Conversational Analytics
BI Tools
Machine Learning Model
Other Data Applications
VirtualData Lakehouse
Knowledge Graph
Insights Engine
Business Context for Gen AI
Unstructured Data





Aa
Structured Data





+40 more
SaaS





+150 more
World Data
When the problem needs bricks solutions
The Problem Thai Enterprises Face
Today's enterprises in Thailand struggle to extract real value from their data. Information is scattered, integration is complex, and insights arrive too slowly — blocking growth and innovation.
Scattered data
Spread across SQL, BigQuery, cloud apps, and legacy systems, making access and integration difficult.
Complex and costly ETL
Complex and costly ETL – Requires heavy effort to build and maintain pipelines.
Slow decision-making
Teams spend more time preparing data than analyzing it.
Inconsistent governance
Security, compliance, and access controls vary across platforms.
Lack of flexibility
Pipelines adapt slowly to new data sources or changing business needs.
Scattered data and slow ETL block insights
bricks' virtual data lakehouse unifies all sources seamlessly. It delivers fast, secure, and trusted analytics without moving data
Unlock real-time performance to elevate your business strategy.
Flexible Use
Lets both analysts and developers access the same data through BI tools or APIs.
Faster Queries
Uses smart caching so repeated queries run quickly.
Better performance
Delivers insights faster and reduces time spent preparing data.
Easy data access
Connects all your data sources (SQL databases, BigQuery) in real time without needing complex ETL pipelines.
Strong security
Controls who can see what, masks sensitive data, and keeps a full audit trail.
Minimal Data Movement
Keeps data where it is, only moving what's needed, saving time and storage.

