Datus Blog

Datus Blog

How we think about data engineering agents, structured context, and turning workflows into reliable execution.

Latest
Practice
How Datus Turns AI-Generated SQL into Trusted Data
Why reliable AI data engineering needs knowledge, planning, review, controlled execution, and reconciliation, not just SQL generation.
Jun 11, 2026
Research
GoodData: How a 17-Year BI Company Became an AI-Native Analytics Platform
GoodData's evolution from cloud BI startup to GoodData.AI — what it reveals about the industry shift toward AI-native analytics and the role of the semantic layer.
Jun 10, 2026
Research
AI-Native Data Platforms: Why the Next Generation Needs Data Engineering Agents, Not Just Copilots
What defines an AI-native data platform, how it differs from platforms with bolted-on AI features, and why data engineering agents are the missing infrastructure layer.
Jun 10, 2026
Research
Platform-Native Data Engineering Agents Compared: Cortex Code, Genie Code, and BigQuery DE Agent
A detailed comparison of Snowflake Cortex Code, Databricks Genie Code, and Google BigQuery Data Engineering Agent — and the case for open, cross-stack alternatives.
Jun 10, 2026
Research
Best Data Engineering Agents in 2026: An Honest Comparison
Best data engineering agents in 2026 compared by stack fit, context, openness, and enterprise readiness.
Jun 10, 2026
Practice
How Datus Turns AI-Generated SQL into Trusted Data
Why reliable AI data engineering needs knowledge, planning, review, controlled execution, and reconciliation, not just SQL generation.
Jun 11, 2026
Research
GoodData: How a 17-Year BI Company Became an AI-Native Analytics Platform
GoodData's evolution from cloud BI startup to GoodData.AI — what it reveals about the industry shift toward AI-native analytics and the role of the semantic layer.
Jun 10, 2026
Research
AI-Native Data Platforms: Why the Next Generation Needs Data Engineering Agents, Not Just Copilots
What defines an AI-native data platform, how it differs from platforms with bolted-on AI features, and why data engineering agents are the missing infrastructure layer.
Jun 10, 2026
Research
Platform-Native Data Engineering Agents Compared: Cortex Code, Genie Code, and BigQuery DE Agent
A detailed comparison of Snowflake Cortex Code, Databricks Genie Code, and Google BigQuery Data Engineering Agent — and the case for open, cross-stack alternatives.
Jun 10, 2026
Research
Best Data Engineering Agents in 2026: An Honest Comparison
Best data engineering agents in 2026 compared by stack fit, context, openness, and enterprise readiness.
Jun 10, 2026
What is Datus

Start here. The problem, the product, and the thesis behind it.

Data Engineering Agent

The category, the comparisons, and how to build with one — our core cluster.

Semantic Layer

What a semantic layer is, and how it differs from a metric layer, model, ontology, or catalog.

Glossary

Core data engineering terms — defined, with how they connect to agents and context.

Why agents, not copilots

The shift from assistive AI to autonomous data workflows.

Architecture and pipelines

How Datus works under the hood — agent design, storage, ETL, and pipeline automation.

Why context is everything

Semantic models, structured context, and what makes agents reliable.

Tooling and integrations

MCP, extensions, and how agents connect to real data systems.

In practice

Real use cases and how agentic data teams operate.

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