MyriadeMyriade

VP of Data — Architecture & Reliability

Plugging ChatGPT into your database is not enough.

Homegrown Text-to-SQL solutions hallucinate. ThoughtSpot requires endless manual modeling. Myriade auto-generates data models and guarantees reliability.

The mirage of AI 'connected to data'

Under pressure to integrate AI, your team tried connecting an LLM directly to the database. Result: hallucinations, inability to handle peaks, misunderstood data models, and business teams no longer trust the numbers.

Hallucinations: the LLM doesn't understand your data model and generates incorrect SQL. Numbers are wrong without anyone knowing.

No peak management: homegrown Text-to-SQL can't handle sudden load spikes (month-end closes, campaigns, quarter-ends).

Endless manual modeling: ThoughtSpot requires massive upfront modeling for each new data source.

Costly maintenance: the 'build in-house' project ties up 2-3 full-time engineers for a fragile result.

Myriade vs ThoughtSpot / Build in-house (Text-to-SQL)

Feature
Myriade
ThoughtSpot / Build in-house (Text-to-SQL)
Answer reliability
Semantic layer + governance = zero hallucination
Frequent hallucinations (raw Text-to-SQL)
Modeling
Auto-generation of dbt models
ThoughtSpot: manual / In-house: none
Peak loads
Architecture designed for real-time and peaks
No native peak management
Maintenance
Managed platform, zero maintenance
2-3 engineers permanently mobilized
Time to value
48h deployment, immediate ROI
ThoughtSpot: months / In-house: 6+ months
Multi-source
Simultaneous querying across all sources
Limited to one source or complex integration

Why VP Data choose Myriade

Why teams choose Myriade

Zero hallucination through governance

Myriade's semantic layer ensures every AI query is faithful to your data model. Metrics are defined once and respected everywhere.

Automatic dbt model generation

AI generates data models to reconcile your operational, financial, and business flows — without writing every line of code manually.

Real-time architecture

Designed to handle load spikes (month-end closes, campaigns, seasonal peaks) with intelligent semantic caching and robust architecture.

Frequently Asked Questions

An LLM alone doesn't know your data model, naming conventions, or business rules. It generates syntactically correct but semantically wrong SQL. Myriade solves this with a semantic layer that encodes your business rules.

Modernize your data architecture risk-free.

Discover how Myriade supports your peak activity by generating data models to reconcile your flows.