Blog
Insights on AI infrastructure, Decision Coherence, and building systems for the machine-driven era.
Latest Articles
57 articlesOLTP vs OLAP: The False Choice for the Agentic Era
Every architecture guide frames OLTP vs OLAP as a choice: optimize for transactions or optimize for analytics. But automated decision systems — fraud checks, credit approvals, agent actions — need both transactional consistency and analytical power at the same moment. The Composition Impossibility Theorem proves you can't stitch separate OLTP and OLAP systems together to get there. Here's what comes after the tradeoff.
Xiaowei Jiang|Mar 17, 2026ETL Pipelines: What They Are, How They Work, and When to Eliminate Them
ETL pipelines extract data from source systems, transform it into a usable format, and load it into a destination. This guide covers how ETL pipelines work, common architectures, tools, failure modes, and when streaming and CDC approaches eliminate the need for batch ETL entirely.
Alex Kimball|Mar 13, 2026Medallion Architecture: Bronze, Silver and Gold Layers in Modern Lakehouses
Medallion architecture organizes your lakehouse into bronze, silver and gold layers with progressive data refinement. Learn how each layer works, when to apply the pattern, and where it breaks down for real-time decisioning.
Alex Kimball|Mar 11, 2026Agent Coordination: How Multi-Agent AI Systems Work Together
Agent coordination is what determines whether multiple AI agents produce coherent results or expensive chaos. Here's how coordination strategies, communication protocols, and fault tolerance actually work — and what breaks in production.
Boyd Stowe|Mar 5, 2026Streaming Database: What It Is, How It Works, and When You Need One
A streaming database replaces the batch query model with continuous computation — materialized views maintained incrementally as data arrives. Here's how they work, when they help, and where they run out of runway.
Alex Kimball|Mar 5, 2026Apache Kafka vs Apache Flink: The Real Comparison Is Flink vs Kafka Streams
Most people comparing Kafka and Flink are actually asking which stream processing layer do I need? The real architectural choice is Apache Flink vs the Kafka Streams API — and understanding the difference changes how you build.
Xiaowei Jiang|Mar 2, 2026Ready to get started?
Book a demo to see how Tacnode can power your real-time data infrastructure.
