Myriade vs Fab.ai
Conversational BI without data understanding is just a faster way to get wrong answers.
Fab.ai promises conversational BI. But plugging an LLM into raw data doesn't make the answers reliable. Myriade builds the data foundation first, then enables self-service on data you can trust.
Data understanding
Myriade goes far beyond your metadata.
Fab.ai works from metadata and pre-built configurations. Myriade connects to your warehouse and reverse-engineers a context layer covering every table and column — roughly 90% generated autonomously. The remaining 10% are genuine ambiguities that Myriade surfaces for your team to confirm.
What Fab.ai sees
Column names
Schema metadata
Query history
Basic descriptions
What Myriade sees
Actual data values and samples
Statistical distributions (min/max, anomalies)
Cross-table relationships and joins
Data quality issues (duplicates, inconsistencies)
Business context inferred from data behavior
Column meaning verified against actual values
The risk of AI on messy data
Conversational BI is a major advancement. But the fundamental issue isn't the interface, it's the data underneath. Without autonomous documentation and quality checks, any NL2SQL tool can generate incorrect queries and return wrong numbers. The answers look plausible, but they're built on undocumented, unverified data.
No data foundation: NL2SQL without documentation means the AI guesses table relationships, column meanings, and metric definitions. It often guesses wrong.
Hallucination risk: syntactically correct SQL that returns wrong numbers. Gross margin confused with net margin, wrong join keys, outdated tables used.
No quality checks: the AI answers questions on data that may contain duplicates, anomalies, and inconsistencies, without detecting them.
Fragile trust: one incorrect answer reaching leadership and business teams lose confidence in the tool. Trust is hard to rebuild.
Feature comparison
Myriade
AI auto-documents 90%: profiling, sampling, cross-table analysis
No autonomous documentation, NL2SQL on raw data
An AI layer that gets smarter every night
Nightly memory cycle
Every conversation across your org is reviewed nightly. Corrections and clarifications become permanent knowledge for all users.
Org & user instructions
Define business rules that apply to everyone, or context specific to a team. The AI adapts without warehouse changes.
Self-improving context
The platform in month six is meaningfully more accurate than month one. Every interaction deepens the foundation.
Why choose Myriade over Fab.ai
Why teams choose Myriade
Foundation first, then self-service
Myriade doesn't just plug an LLM into your database. It first reverse-engineers your data: documenting tables, detecting quality issues, mapping relationships. Then it enables self-service on data you can actually trust.
Transparent, verifiable AI
Every answer shows the reasoning and SQL behind it. When Myriade encounters ambiguity, it pauses and asks instead of confidently returning the wrong number. That's the critical difference.
Proven in production
Jules' data team documented 150+ tables in under a week, with 90% validated automatically. Analysts went from hours of analysis to 5-10 minutes. Real results, not promises.
“With Myriade, we moved from being data crunchers to decision-makers.”
Jean-François Jouannais
Head of Data & AI Product, Jules
Frequently Asked Questions
Discover Myriade's capabilities
Conversational BI deserves a data foundation.
Give your business teams reliable answers built on documented, quality-checked data, not raw NL2SQL.
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