Bring all data into one place — ready for reporting and AI.
The Data Lakehouse unifies data scattered across the enterprise on open standards, refined by layer Bronze → Silver → Gold, full governance and traceability — running on-premise, no vendor lock-in, no haphazard data copying.
When data is scattered, both AI and reporting go “hungry”
Each department has its own data store, the numbers don’t match, and any analysis means copying data around. DBIZ Data Lakehouse solves this at the root with three principles.
Open standards, no lock-in
Data stored in open formats (Apache Iceberg / Parquet) — it’s yours, not locked into any single vendor.
Separate data from tools
Data in one place, with tools (BI, AI, queries) plugging in. Swap tools or databases without migrating the data.
Data never leaves your infrastructure
Runs fully in-house (on-prem). Both data and AI are processed within your zone — ideal for tightly regulated sectors.
From raw data to ready-to-use data
All data passes through three layers — like a refining line — so you end up with clean, consistent, and trustworthy numbers.
Keep the original
Load data exactly as it comes from the source, unaltered — so you can always trace back to the original truth.
Standardize & cleanse
Merge, deduplicate, quality-check, and unify definitions across sources.
Ready for reporting & AI
Business-organized data — plugs straight into dashboards, reports, and AI models.
Every layer captures data lineage and can restore data as of the exact closing date — answer audits in minutes.
Five ways to ingest data — without touching core systems
A fitting method for every need; ready-made connections to existing systems without changing the Core.
All incoming data is schema standardization, no lost error logs and automatic origin traceability right from the ingestion point.
Work that needs precision and work that needs speed — both covered
One lakehouse serving two distinct needs, each with its own optimized processing pipeline.
What sets us apart
Enough to understand why DBIZ’s Data Lakehouse is trustworthy for both businesses and tightly regulated sectors.
Point-in-time reproduction
Review the exact figures “as of” any closing date — supporting audits and inspections in minutes.
Trace down to every column
Every figure traces back to its exact source column — transparent and verifiable.
Swap databases without changing code
Run PostgreSQL (open source) or Oracle 26AI without rewriting the application — with control over costs.
Governance via AI Agent
AI handles catalogs, traceability, quality rules, and recognition on its own — masking personal data and easing the operations team’s load.
Query your data in Vietnamese
Text-to-SQL with safety guardrails (access control + oversight) — everyone self-serves without risk.
Real-time alerts
Streaming scoring in under 1 minute with a shared feature store — stable, explainable models.
Tight control, optimized storage costs
Data is governed end-to-end and automatically tiered by age to save on storage costs.
Clean data is the fuel for AI Agents
Data Lakehouse is the data foundation that feeds DBIZ Autonomous: agents answer questions on your data, generate charts, and search semantically (RAG) — all grounded in exactly your data, with citations.
Move step by step, with confidence — no “big-bang”
Start pragmatically and expand gradually, always running in parallel with the legacy system until you’re confident to switch over.
Standardized data foundation
Consolidate & standardize source data in one place (an ODS on open standards), reconciled against current figures.
Processing & Reporting
Build reports, dashboards, quality checks & traceability — gradually replacing manual reports.
Full Lakehouse + AI
Self-service BI, data AI Agents, complete storage lifecycle management.
Built on open, proven technology
Mostly industry-standard open source — transparent, with a large community and no vendor lock-in.
Runs on DBIZ Foundation & orchestrated by DBIZ Autonomous — unifying identity, security, and AI across the entire ecosystem.
Unify your data today — unlock AI tomorrow.
Book a 30-minute session: we’ll review your current data landscape and propose a reference architecture and a phased, measurable roadmap.