All Posts
What is Datus
The problem, the product, and the thesis behind it.
- Make Data Agents Usable: Ask, Explore, and Control with Confidence — Apr 2, 2026
- Meet the General Chat Agent: Your Data Co-Pilot That Actually Thinks — Mar 25, 2026
- SQL Agents Are Broken Without Context. Meet Datus. — Oct 21, 2025
- From Human-First Data Systems to the Agentic Data Stack — Mar 11, 2026
Data Engineering Agent
The category, the comparisons, and how to build with one — our core cluster.
- How Datus Turns AI-Generated SQL into Trusted Data — Jun 11, 2026
- What Is a Data Engineering Agent? Definition, Examples & a 2026 Comparison — May 31, 2026
- What Is a Data Engineering Agent? A Practical Guide with Datus — Mar 2, 2026
- Contextual Data Engineering: Why Every Agent Needs Evolvable Context — Jun 1, 2026
- Best Data Engineering Agents in 2026: An Honest Comparison — Jun 2, 2026
- Open Source Data Engineering Agents — Jun 2, 2026
- How to Build Your First Data Engineering Agent in 15 Minutes — Jun 3, 2026
- Data Engineering Agent vs. Claude Code: When to Use Which — Jun 3, 2026
- Data Engineering Agent vs. SQL Copilot: What's the Real Difference? — Jun 4, 2026
- One-Person Data Team: How a Data Engineering Agent Multiplies Your Output — Jun 4, 2026
- How a Context Engine Makes Data Engineering Agents More Accurate — Jun 1, 2026
- MCP and Data Engineering: The Protocol That Connects Your Entire Stack — Jun 2, 2026
- What an Enterprise Data Engineering Agent Actually Needs — Jun 3, 2026
- Subagents: How to Ship Domain-Specific Data Agents Without Training a Model — Jun 4, 2026
- Best Data Engineering Agents in 2026: An Honest Comparison — Jun 10, 2026
- AI-Native Data Platforms: Why the Next Generation Needs Agents, Not Just Copilots — Jun 10, 2026
- Platform-Native Data Engineering Agents Compared: Cortex Code, Genie Code, and BigQuery DE Agent — Jun 10, 2026
Semantic Layer
What a semantic layer is, and how it differs from a metric layer, model, ontology, or catalog.
- What Is a Semantic Layer? Definition, Examples & How It Differs From a Metric Layer — May 31, 2026
- What Is a Metric Layer? Definition, Examples & How It Differs From a Semantic Layer — Jun 8, 2026
- What Is a Semantic Model? Definition, Examples & How It Differs From a Semantic View — Jun 8, 2026
- Semantic Layer vs Ontology: What's the Difference and Why It Matters for AI Agents — Jun 9, 2026
- Open Semantic Interchange (OSI): What the New Standard Means for Data Engineering and AI Agents — Jun 9, 2026
- dbt Semantic Layer & MetricFlow: A Complete Guide for Data Engineers — Jun 9, 2026
- Cube.dev: From Semantic Layer Pioneer to Agentic Analytics Platform — Jun 9, 2026
- GoodData: How a 17-Year BI Company Became an AI-Native Analytics Platform — Jun 10, 2026
Glossary
Core data engineering terms — defined, with how they connect to agents and context.
- What Is Text-to-SQL? Definition, How It Works & Why Context Matters — Jun 7, 2026
- What Is Schema Linking? Definition, Challenges & How Agents Map NL to Columns — Jun 7, 2026
- What Is RAG for Data Engineering? Retrieval, Context & Agent Accuracy — Jun 7, 2026
- What Is a Data Catalog? Definition, Tools & How It Differs From Agent Context — Jun 7, 2026
- What Is Data Mesh? Definition, Principles & How Domain Agents Map to It — Jun 8, 2026
- What Is a Data Agent? How It Differs From a Data Engineering Agent — Jun 8, 2026
Why agents, not copilots
The shift from assistive AI to autonomous data workflows.
- Why Data Engineering Needs Agents, Not Just Copilots — Mar 16, 2026
- Agentic Data Engineering vs Traditional Data Engineering — Mar 16, 2026
- What Autonomous Data Engineering Actually Looks Like in Practice — Mar 16, 2026
Architecture and pipelines
How Datus works under the hood — agent design, storage, ETL, and pipeline automation.
- Datus Storage Layer: A Foundation Built for Every Environment — Mar 25, 2026
- Data Engineering Agent Architecture: From Prototype to Production with Datus — Mar 2, 2026
- AI Data Pipeline Automation: Use Cases, Architecture, and Tradeoffs — Mar 16, 2026
- Agentic ETL: What Changes Beyond Traditional ETL — Mar 16, 2026
Why context is everything
Semantic models, structured context, and what makes agents reliable.
- Why AI Agents Need Semantic Context to Work Reliably — Mar 16, 2026
- How Structured Context Improves AI Agent Output — Mar 16, 2026
- Semantic Modeling for Agentic Analytics Workflows — Mar 16, 2026
- Why Reliable Data Agents Need More Than Good Prompts — Mar 16, 2026
Tooling and integrations
MCP, extensions, and how agents connect to real data systems.
- Beyond SQL: How Datus Integrates With Your Entire Data Toolchain — Apr 2, 2026
- How MCP Changes Data Workflow Automation — Mar 16, 2026
- Using MCP Extensions in Data Engineering Workflows — Mar 16, 2026
In practice
Real use cases and how agentic data teams operate.
- 7 High-Impact Data Engineering Agent Use Cases (Powered by Datus) — Mar 2, 2026
- The Operating Model of an Agentic Data Team — Mar 16, 2026
Releases
- Datus 0.2.6 Release: Equipping the Agent with a Brain — Mar 20, 2026