Data Engineering Articles | Blog

•September 17, 2026•4 min read

Product Updates for Sep 2026

The stack recommender now ranks on how well a product fits your requirements rather than how popular it is, and prices a stack on the edition you would actually buy. Plus alternatives that really compete, comparisons that answer a real question, and a reordered profile page.

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Data Engineering

Product Updates for Sep 2026

Build vs Buy vs Open Source: A Practical Framework for Data & AI Technology

Data Tool Signals: July 2026 — Package Gains, Steady Infrastructure

Modern DataTools: The Data Layer for Better Technology Decisions

Modern DataTools Signal Report: June 2026

Redesigning the Stack Recommender: From Static Suggestions to Interactive Architecture Decisions

AI Agents for Data Teams: Separating Hype from Production-Ready Tools

Three AI Agents Worth Building Once Your Data Stack Doesn’t Suck

From Modern Data Stack to AI Agents: A Practical Stack for 2026

How to Build a Modern Data Stack in 2026: A Practitioner's Guide

We Built an AI Product. The Hard Part Wasn't the AI.

Best Open-Source Alternatives to Snowflake, Databricks, and Fivetran

Keep Your Warehouse from Drowning in Cold Data: A Practical Baselining Playbook

I Reviewed 500+ Data Tools. Here Are the 10 Things the Best Ones Get Right.

ETL vs ELT in 2026: What's the Difference and Which Should You Choose?

The Modern Data Stack in 2026: Complete Guide

The Hidden Bugs in Data Pipelines That No One Tests For