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Clario DataStream · Lakehouse
Lakehouse Data Management.
One platform for structured and unstructured data. ClarioDWH consolidates your enterprise data into a single governed source of truth — with end-to-end lineage, AI-ready cataloging and SDAIA, DGA and NCA compliance built into every layer.
The Data Silo Tax
Disconnected warehouses, ungoverned data lakes and ad-hoc pipelines quietly consume budget and slow every analytics initiative.
68%
of enterprise data goes unused for analytics — locked in operational silos or undiscoverable in the lake.
3–5×
more spend on integration and data movement than on the analytics workloads themselves, in legacy warehouse stacks.
Weeks → Days
time-to-insight compression observed by enterprises that move from federated silos to a unified Lakehouse architecture.
Key Capabilities
ClarioDWH brings warehouse-grade SQL performance to the openness of a data lake — with the governance enterprises actually need.
One storage layer for structured tables, semi-structured logs and unstructured documents. ACID transactions on open table formats — Delta Lake, Apache Iceberg and Apache Hudi — without lock-in.
Schemas evolve as your business does — without breaking pipelines. Time-travel queries and table-level snapshots make audits, reproducibility and rollback first-class operations.
An active catalog that automatically classifies, profiles and tags every dataset — making your warehouse RAG-ready for downstream LLM workloads with curated, lineage-tracked feature stores.
Row- and column-level policies enforced at query time. End-to-end lineage and tamper-evident audit logs map directly to NCA, DGA and SDAIA controls — and the entire platform deploys on-premise, in your cloud or fully air-gapped.
Four-Stage Data Pipeline
Each stage maps to a clearly-named layer in your Lakehouse — and every dataset carries provenance from ingestion through to the analytical mart.
Connectors · CDC · streaming
150+ source connectors plus log-based CDC and Kafka streaming land raw data with full provenance metadata into the Bronze landing zone.
Auto-discovery · classification
Every dataset is profiled, classified, tagged for PII and indexed in the active catalog — making it discoverable, governed and AI-ready from day one.
Lineage · policies · audit
Row-level, column-level and masking policies enforced at query time. End-to-end lineage and tamper-evident audit logs satisfy NCA, DGA and SDAIA controls.
SQL · BI · ML feature store
Curated Gold marts power BI dashboards, ad-hoc SQL and machine-learning feature stores — with workload-aware caching and sub-second response on petabyte tables.
Industry Validation
Independent research confirms the Lakehouse pattern is no longer experimental — it's the default destination for modern data platforms.
Databricks
Lakehouse architecture paper
Snowflake
Industry benchmarks
Forrester
Wave: Cloud Data Warehouse
Gartner
Magic Quadrant: Data Management
ClarioDWH is engineered for the regulatory reality of Saudi Arabia. SDAIA data sovereignty is respected via on-premise and air-gapped deployment options. DGA data classification, lineage and traceability are first-class platform primitives — and NCA controls map directly to platform features with auditable, evidence-ready logs.
NCA
Compliant
DGA
Compliant
SDAIA
Compliant
The Lakehouse, productionised for KSA.
See how ClarioDWH unifies your structured and unstructured data into one governed source of truth — without the lock-in.
