Blueprint 3 · Sovereign Data Lakehouse

Sovereign data lakehouse on open standards. No cloud lock-in, no proprietary formats.

Regulatory-grade analytics on infrastructure you control, using Apache Iceberg on object storage you own.

Back to all blueprints »

Try it now
Sovereignty

On-premises, air-gapped, or any cloud—open formats throughout

Time travel

Built-in, point-in-time query auditing via Iceberg snapshots—no additional tooling

Zero extraction

Analytics Engine queries Iceberg directly through Lakekeeper—no data copy to a separate warehouse

How it's built

diagram

How it works

Architecture flow

01  INTEGRATE  Source data ingests from operational EDB Postgres® AI (EDB PG AI) systems and external data sources via Fivetran, orchestrated by Airflow/Astronomer on a governed pipeline schedule.
02  TRANSFORM  dbt runs SQL-first transformation logic natively against Postgres, aligning source data to regulatory and compliance schemas—examples such as BCBS 239, EBA ITS, or OMOP CDM—with full lineage and testability per run.
03  CATALOG  Lakekeeper (Vakamo) governs Iceberg table metadata across the entire lakehouse layer—unified access control, lineage tracking, and discoverability for all downstream consumers.
04  STORE  Data lands in open Apache Iceberg format on MinIO object storage, fully on-premises with encryption at rest. Iceberg's versioned snapshot model enables point-in-time auditing without additional tooling. No cloud dependency, no proprietary format, no vendor lock-in.
05  ANALYZE  The Analytics Engine (PGAA) executes complex regulatory and analytical queries against Iceberg tables through the Lakekeeper catalog, with columnar acceleration over Parquet.
06  REPORT  Metabase and Tableau surface regulatory outputs, population health analytics, and supply chain intelligence through governed Postgres interfaces to analysts, executives, and compliance teams. PGAA and ClickHouse help provide high-performance query for reporting.

Blueprint 3 · PARTNER STACK

Certified partners in this blueprint

Airflow (Astronomer)

Orchestrates the full lakehouse pipeline — ingestion, dbt transformation triggers, and WarehousePG analytical load — reliably at scale.
Transformation BP 01 BP 03
View integration

Apache Iceberg

Extends EDB PG AI queries across data lake tables — open format, no duplication, no separate query engine required.
Storage BP 03
View integration

dbt

Transforms source data natively in Postgres, aligned to BCBS 239, EBA ITS, OMOP CDM, with full lineage per run.
Transformation BP 01 BP 03
View integration

Fivetran

Automated data pipelines into sovereign Postgres® AI infrastructure—zero custom ingestion code.
Data Integration BP 03
View integration

Grafana

Monitors Airflow pipeline health, WarehousePG query performance, and lakehouse telemetry in a unified real-time view.
Visualization BP 01 BP 02 BP 03
View integration

Jupyter

Connects data scientists directly to governed WarehousePG and Iceberg data for population health and regulatory research.
Development BP 01 BP 03
View integration

Lakekeeper (Vakamo)

Governs Iceberg table metadata across the lakehouse — unified access control, lineage, and discoverability for regulatory consumers.
Storage BP 01 BP 03
View integration

Metabase

Surfaces compliance and analytical dashboards for regulatory and executive audiences — no data extraction required.
Visualization BP 02 BP 03
View integration

MinIO

Provides sovereign S3-compatible object storage for Iceberg-formatted inference results, model artifacts, and long-term analytics data.
Storage BP 01 BP 02 BP 03
View integration

Tableau

Translates sovereign lakehouse data — BCBS 239-aligned regulatory outputs, clinical data — into governed executive visualizations.
Visualization BP 02 BP 03
View integration

INDUSTRY USE CASES

Blueprint 3 in production

  • BFSI
    BFSI

    Regulatory reporting and Basel III/IV compliance

    A G-SIB producing 200+ regulatory reports across 30 jurisdictions runs $50M+ annual regulatory technology spend across 12 legacy warehouses with inconsistent data definitions. Consolidating regulatory data into a sovereign Iceberg lakehouse—with dbt managing BCBS 239-aligned transformations and Lakekeeper providing lineage—eliminates the fragmentation that drives restatements and audit failures. All data remains in jurisdiction-specific deployments.

  • Healthcare
    Healthcare

    Clinical data warehouse and population health analytics

    A large health system spanning 50 hospitals across 8 different EHR systems cannot perform longitudinal patient analysis at the enterprise level. Deploying WarehousePG as the clinical data warehouse with OMOP CDM schema managed by dbt—with PHI stored in on-premises MinIO—enables cross-system patient matching and population health queries that were previously impossible within regulatory constraints.

  • Telco
    Telco

    CDR analytics and lawful intercept compliance

    A national carrier retains 7 years of Call Detail Records for regulatory compliance across a costly, slow Hadoop-based archive. Migrating the CDR archive to Iceberg tables on MinIO with the Analytics Engine (PGAA) as the query engine delivers a sovereign, queryable archive with dramatically reduced operational overhead. 

  • Manufacturing
    Manufacturing

    Supply chain traceability and ESG reporting

    An automotive OEM must demonstrate full supply chain traceability for battery materials and maintain 15-year warranty data retention. A unified lakehouse connecting supplier data, production MES, quality systems, and field service data enables full genealogy queries across the product lifecycle. Iceberg time-travel provides point-in-time auditing for regulatory inquiries.

Validated deployment environments

Sovereign by design: runs fully on-premises, in any cloud, or across hybrid environments — open formats throughout.

logo
Logos

Build your sovereign data lakehouse on open standards.

Run regulatory and analytical workloads on infrastructure you control, using formats you own. Talk to a solutions engineer or explore the architecture documentation.

Try it now
Talk to a solutions engineer