MyriadeMyriade

dbt transforms your data. But nobody documents it, and business teams still can't use it.

dbt is essential for data transformation, and Myriade integrates with it. But writing dbt models manually takes months, documentation goes stale within weeks, and business teams still can't access data autonomously. Myriade fills the gaps dbt was never designed to cover.

The dbt documentation gap

Your analytics engineers love dbt. The transformation layer is solid. But here's what dbt doesn't solve: documentation that stays current, data quality beyond basic tests, and self-service for business teams. You've built a world-class pipeline, but business users still file JIRA tickets to get answers. And that YML documentation? It was accurate three sprints ago.

Manual model building: writing dbt models is engineering work. 6+ months to build a comprehensive transformation layer, with ongoing maintenance as business logic evolves.

Documentation goes stale: dbt's YML docs are manual. They're accurate the day they're written and outdated the day after. Nobody prioritizes updating them.

No self-service: dbt is an engineering tool. Business teams can't query dbt models in natural language. They still depend on the data team for every question.

Quality is limited to tests: dbt tests catch schema violations, but they don't detect semantic issues: duplicates, anomalies, or inconsistencies that break business logic.

Myriade vs dbt (manual)

Feature
Myriade
dbt (manual)
Documentation
90% auto-generated and self-maintaining: profiling, sampling, cross-table analysis
Manual YML, goes stale within weeks
Self-service analytics
Natural language for business teams: any question, trustworthy answer
Not available, dbt is for engineers only
Data quality
Proactive detection of anomalies, duplicates, inconsistencies, semantic issues
Schema-level tests only, no semantic quality detection
Model building speed
Can convert ad-hoc analyses into production-ready dbt models
100% manual, weeks per complex model
Time to value
72h deployment, value in the first week
6+ months to build comprehensive transformation layer
Maintenance burden
Self-improving, zero maintenance on your team
Ongoing model and documentation maintenance required

Why analytics engineers add Myriade to their dbt stack

Why teams choose Myriade

Auto-document what dbt can't

Myriade reverse-engineers your entire warehouse, including dbt models, through statistical profiling, sampling, and cross-table analysis. 90% documented in 72h. Documentation that stays current because every interaction enriches it automatically.

From analysis to dbt model in minutes

When a business user asks a question and Myriade generates the analysis, you can convert that ad-hoc query into a production-ready dbt model with tests included. The fastest path from business need to production code.

Give business teams the self-service dbt never provided

dbt was built for engineers. Business teams can't use it. Myriade provides the natural language self-service layer on top of your dbt-transformed data, so business teams get answers while your team stays in control.

Frequently Asked Questions

No. Myriade integrates with dbt and complements it. Keep dbt for transformation. Myriade adds what dbt doesn't cover: auto-documentation, semantic data quality, and self-service analytics for business teams.

dbt + Myriade = the complete data stack.

Keep dbt for transformation. Add auto-documentation, quality, and self-service, deployed in 72h.