Engineering Blog

Technical deep-dives on lakehouse architecture, data engineering, and production-scale analytics from the Alphyn team.

Procedural SQL Extension in the Lakehouse Platform — New Capabilities for Data Work

LPSQL brings stored procedures, cursors, dynamic SQL, and SCD1 loading to the lakehouse — enabling migration from Oracle, SQL Server, and PostgreSQL without rewriting procedural logic.

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Engineering9 min

Open Table Formats — Iceberg vs Paimon — Practical Experience

Practical benchmarks comparing Apache Iceberg and Apache Paimon for batch and streaming workloads in a lakehouse environment.

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Data Integration15 min

Batch Data Replication in the Analytical Data Warehouse Landscape

When to choose batch over real-time, SCD1/SCD4 scenarios, cross-cluster replication, and the Double-ETL fault-tolerance principle.

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Engineering11 min

Apache Iceberg Optimizations for Real-Time Data Loading and Processing

How we optimized Apache Iceberg equality-delete caching in Spark to reduce memory consumption by 1,222 GB and accelerate maintenance from hours to minutes.

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Benchmarks13 min

The Small Files Problem: S3/MinIO vs HDFS vs Greenplum — Benchmarks

14 experiments from 256 KB to 128 MB, 4 concurrent TPC-DS streams, and a deep analysis of Greenplum pg_catalog bloat.

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Benchmarks14 min

Benchmarking MPP SQL Engines: Impala vs Trino vs GreenPlum

How to properly test analytical systems: methodology, concurrent load scenarios, throughput metrics, and real-world results comparing Impala, Trino, and GreenPlum on 16TB datasets.

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Data Governance7 min

RDM vs MDM: Navigating the Reference Data Management Landscape

Clarifying the terminology of Reference Data Management (RDM) vs Master Data Management (MDM) — why the distinctions matter and how to choose the right tool.

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Data Governance7 min

The Path to Modern MDM: Client Domain Data Quality

Why KYC programs need a proper MDM solution, what requirements it must meet, and how to address quality codes, incidents, and golden record formation.

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