Alphyn Lakehouse Platform
Multiple optimized query engines on one unified metadata layer. Built-in streaming, batch replication, procedural SQL, and governance — deployed on Kubernetes, anywhere you need it.
Product Suite
Everything your enterprise needs from raw data to intelligent decisions.
Lakehouse
Multi-engine lakehouse with unified metadata, streaming, batch replication, and data quality built in.
AI Studio
Interactive notebooks, distributed training, and Arrow-based data connectivity for ML workflows.
Data Governance
Fine-grained RBAC, row/column security, SSO, and audit trails across all engines.
Marketing Hub
Real-time customer data platform for personalized marketing at scale.
Decisioning Flow
Intelligent workflow automation with AI-driven decision engines.
Architecture Highlights
Built for sovereignty, performance, and open standards
Multi-Engine, Unified Metadata
Multiple optimized query engines share one catalog and security framework. Right engine for each workload, no data duplication.
Iceberg-First, Open Standards
Apache Iceberg v2 across all engines — ACID transactions, time travel, schema evolution. No proprietary format lock-in.
2–5x Faster Than Legacy MPP
Custom-optimized query engines with proprietary storage connectors outperform legacy MPP databases at a fraction of the hardware.
Sovereign Storage
S3-compatible MinIO-based storage with erasure coding, encryption, WORM compliance. Optional FIPS 140-3 and multi-site DR.
Kubernetes-Native
Fully containerized, Helm-deployed architecture. On-prem, any cloud, hybrid, or air-gapped. Elastic scaling built in.
Unified Governance
Fine-grained RBAC at row and column level, enforced consistently across all engines. SSO/OIDC, audit trails, compliance-ready.
Built-In Capabilities
Not bolt-on tools — native platform capabilities
Multi-Engine Query Layer
- Engines optimized for DWH SQL, real-time OLAP, federated queries, and ETL/ML
- Shared metadata catalog across all engines
- Unified security policies enforced at query time
- ML-based query memory prediction for resource optimization
Real-Time Streaming (ASM)
- CDC capturing every INSERT/UPDATE/DELETE in milliseconds
- Complex event processing with windowed aggregations and stream joins
- Low-code visual pipeline editor with auto-generated execution code
- Connectors for major databases, message queues, and cloud services
Batch Replication (DR)
- Petabyte-scale daily throughput, 10+ years in production
- SCD1 (current state) and SCD4 (full history) support
- Built-in data quality: row count reconciliation, duplicate detection
- Multi-source extraction with native protocol optimization
Procedural SQL Accelerator
- PL/SQL and T-SQL dialect compatibility
- Stored procedures, functions, packages, cursors, exception handling
- ~70% direct translation from legacy databases
- Only on-prem lakehouse with native procedural SQL
Proven at Enterprise Scale
Finance, retail, insurance, and industrial sectors trust Alphyn Lakehouse for their most demanding data workloads.
Request a Demo