Lakehouse Use Cases
Proven deployment scenarios across finance, retail, insurance, and industrial sectors — backed by 15+ production deployments
Deployment Scenarios
Six Ways Enterprises Deploy Alphyn Lakehouse
Legacy MPP Migration
Replace legacy MPP databases with a modern lakehouse that delivers 2–5x faster ingestion on a fraction of the hardware. Built-in procedural SQL accelerator enables smooth migration of stored procedures and business logic.
Real-Time Data Hub
Capture every change in milliseconds with built-in CDC streaming. Process complex events with windowed aggregations, stream joins, and real-time enrichment — then land results directly into Iceberg tables.
Ad-Hoc Analytics at Scale
Give analysts elastic compute that scales during peak workloads. Multiple query engines mean the right tool for each job — sub-second dashboards alongside complex ad-hoc exploration on the same data.
Sovereign Data Platform
Deploy on-premises, in any cloud, or fully air-gapped. Data never leaves infrastructure you control. Optional FIPS 140-3 compliance, WORM storage, and multi-site disaster recovery for the most demanding regulatory environments.
Unified Data Platform
Consolidate streaming, batch replication, analytics, ML, and governance onto a single Kubernetes-native platform. Eliminate tool sprawl and data silos with one unified metadata layer across all engines.
ML & Data Science Factory
Interactive notebooks with native lakehouse data access, distributed model training, and high-speed Arrow-based data connectivity. Build models directly on production data — no copies, no movement, no delays.
Customer Case
Legacy MPP Replacement
Alphyn Lakehouse vs. Legacy MPP — real benchmark results
Reducing ETL windows from hours to minutes
Commodity K8s nodes instead of dedicated MPP appliances
Legacy stored procedures migrated via procedural SQL accelerator
Test Scenario
Loading a massive dataset (10TB+) to simulate daily batch processing windows, with concurrent analytical queries running alongside.
Migration Approach
Procedural SQL accelerator handled ~70% of stored procedures with direct translation, 20% with minor adaptation, and 10% requiring targeted refactoring.
Industries
15+ Production Deployments Across Regulated Sectors
Financial Services
Real-time fraud detection, risk analytics, regulatory compliance, and legacy core banking migration
Retail & E-commerce
Customer 360, real-time personalization, inventory optimization, and omnichannel analytics
Insurance
Claims analytics, actuarial modeling, and regulatory reporting on sovereign infrastructure
Industrial & Energy
IoT data processing, predictive maintenance, and operational analytics at petabyte scale
Ready to See Alphyn Lakehouse in Action?
Get a hands-on assessment of how Alphyn Lakehouse fits your specific workload and infrastructure.