Blog
Insights on AI infrastructure, Decision Coherence, and building systems for the machine-driven era.
Latest Articles
25 articles
Data Freshness vs Data Latency: What's the Difference?
Your system responds in milliseconds — but are those milliseconds returning the truth? Learn why fast queries on stale data are worse than slow queries on fresh data.
How to Evaluate a Feature Store in 2026
Most feature store evaluations check the wrong boxes. Here's what actually matters: the criteria that separate infrastructure you'll outgrow from infrastructure that scales with you.
![Context Lake vs. Data Lake: Key Differences Explained](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1 1"%3E%3C/svg%3E)
Context Lake vs. Data Lake: Key Differences Explained
Why the shift from analysis to action demands a new architecture.
Do You Actually Need a Feature Store?
Not every ML team needs a feature store. Here's a decision framework: when a store pays for itself, when simpler alternatives work, and what changed in 2026.
Why Analytical Queries Slow Down (And What to Do About It)
Root causes explained (and solved.)
What Is LLM Model Staleness? Causes, Impact & Solutions
Model staleness happens when AI systems act on outdated data. Learn why LLMs degrade over time, how staleness breaks production agents, and what infrastructure prevents it.
Ready to get started?
Book a demo to see how Tacnode can power your real-time data infrastructure.