Warehouse AI — Simplicity
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. Myriade delivers AI to business teams in 48h, without restructuring your architecture.
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 complex infrastructure.
Adoption complexity: Genie and Lakeview require a well-structured Lakehouse architecture — a prerequisite few companies meet.
Steep learning curve: business teams can't use Databricks autonomously. IT remains the bottleneck.
Unpredictable DBU costs: every AI query consumes DBUs (Databricks Units). Costs spike with adoption.
Single platform: Databricks AI only works on Lakehouse data. Your other sources remain inaccessible.
Myriade vs Databricks AI/BI (Genie / Lakeview)
Why choose Myriade over Databricks AI/BI
Why teams choose Myriade
Real self-service for business teams
Your store managers, product leads, and marketing teams ask questions in plain language. No need to understand the Lakehouse.
No architecture overhaul
Myriade plugs into your existing stack in 48h. No need to migrate to a Lakehouse to benefit from AI.
Unified multi-warehouse view
Query Databricks, Snowflake, and BigQuery simultaneously. Intelligence isn't siloed in a single platform.
Frequently Asked Questions
AI for your business teams, without Lakehouse complexity.
Deliver natural language self-service to your entire organization in 48h.