Databricks is powerful for engineers. But your business teams will never use it.

Databricks AI/BI (Genie) promises self-service, but Lakehouse complexity remains a barrier for business users. Myriade delivers reliable AI to business teams in 72h, on your existing stack, with no architecture overhaul.

The promise vs reality of Databricks AI/BI

Databricks is an extraordinary tool for data engineers. But its Lakehouse approach and AI tools (Genie, Lakeview) remain too technical for business users. The promised self-service requires a well-structured architecture that few companies have, and Genie doesn't solve the fundamental problem: it doesn't understand what your data actually means.

Adoption complexity: Genie requires a well-structured Lakehouse and Unity Catalog. Most enterprise data doesn't meet these prerequisites.

No data understanding: like other warehouse-native AI, Genie queries raw data without building understanding first. Hallucination risks remain.

Steep learning curve: business teams can't use Databricks autonomously. IT remains the bottleneck for every question.

Unpredictable DBU costs: every AI query consumes Databricks Units. Costs spike unpredictably with adoption.

Myriade vs Databricks AI/BI (Genie / Lakeview)

Feature

Myriade

Databricks AI/BI (Genie / Lakeview)

Business accessibility

Natural language, zero technical skills needed

Requires Lakehouse understanding and setup

Data understanding

AI auto-documents your data: profiling, sampling, cross-table analysis

Relies on Unity Catalog, largely manual

Deployment

72h on your existing stack, no architecture change

Weeks/months of Lakehouse architecture

Multi-source

All warehouses simultaneously

Databricks data only

Costs

Fixed platform fee, predictable budget

Variable DBU per query, unpredictable

Reliability

Shows reasoning, editable SQL, pauses when uncertain

Limited transparency on AI reasoning

Why choose Myriade over Databricks AI/BI

Why teams choose Myriade

Real self-service for real business users

Store managers, product leads, and marketing teams ask questions in plain language and get trustworthy answers. No need to understand the Lakehouse, SQL, or data schemas.

No architecture overhaul required

Myriade plugs into your existing stack in 72h. No need to migrate to a Lakehouse to benefit from AI analytics. Works on messy, undocumented enterprise data.

Transparent, verifiable AI

Every answer shows the reasoning and SQL behind it. When Myriade encounters uncertainty, it pauses and asks instead of confidently returning the wrong number.

Frequently Asked Questions

Yes, natively. Myriade connects to Databricks with read-only access. You can use it as the AI analytics layer while keeping Databricks as your warehouse.

AI for your business teams, without Lakehouse complexity.

Deliver reliable natural language self-service to your entire organization in 72h.