MyriadeMyriade

Myriade vs Microsoft Fabric

Copilot requires you to build context manually.
Myriade builds it for you.

Myriade works with Fabric, not against it. It connects to Azure, Fabric, and OneLake as data sources and adds an AI intelligence layer on top, with zero vendor lock-in.

Data understanding

Skip the months of semantic modeling.
Myriade builds your context layer in days.

Fabric's AI capabilities have improved significantly. The OneLake Catalog now generates descriptions automatically, and Prep for AI lets you configure instructions and verified answers. But these features work one field at a time, one table at a time. Someone on your team still has to build the semantic model, define the relationships, add the synonyms, configure the instructions. For a warehouse with hundreds of tables, that is months of work.

Myriade does this warehouse-wide in days, by analyzing the data itself. It connects to your warehouse and reverse-engineers a context layer covering every table and column, with roughly 90% generated autonomously. The remaining 10% are genuine ambiguities that Myriade surfaces for your team to confirm, rather than guessing.

This is the difference between an AI that reads a description someone wrote for cstmr_lt and an AI that has examined the values, distributions, and relationships to know exactly what it contains.

FabricWhat Copilot relies on
Semantic model schema
Manual descriptions & synonyms
Prep for AI instructions
OneLake auto-descriptions
Depth of analysis
MyriadeWhat Myriade analyzes
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

Scope

Copilot answers questions about one report.
Myriade traverses your entire warehouse.

Fabric Copilot in Power BI works within the scope of one report or one semantic model at a time. The standalone Copilot can search across reports but is still bounded by existing semantic models. Data Agents can be connected to semantic models, but require configuration per model. If a table isn't modeled in a semantic model, Copilot cannot see or query it.

Myriade works warehouse-wide from day one. Every table is visible. Joins are inferred automatically and mapped within the context layer. If a business user asks a question that requires combining customer data with product data with logistics data, Myriade can traverse those tables without anyone having pre-defined the path.

FabricFabric Copilot
1% visible
dim_customers
fct_orders
stg_payments
dim_products
fct_revenue
crm_export
ga4_events
ship_log
stock_daily
inv_v1
mktg_spend
tmp_suppliers
returns_ALL
prod_master
crm_dump
stg_sessions
Only tables in configured semantic models visible
MyriadeMyriade
100% visible
dim_customers
fct_orders
stg_payments
dim_products
fct_revenue
crm_export
ga4_events
ship_log
stock_daily
inv_v1
mktg_spend
tmp_suppliers
returns_ALL
prod_master
crm_dump
stg_sessions
All tables visible and connected

Continuous learning

An AI that gets smarter every night, across every user, without you maintaining a thing.

Fabric Copilot caches responses for 24 hours on unchanged semantic models. Admins can pre-define verified answers and Prep for AI instructions per model. But there is no cross-session learning, no automatic improvement from user interactions. Myriade goes further in three ways.

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.

Context intelligence over time
Week 1Month 1Month 3Month 6Year 1MyriadeCopilotOrg & user instructionsNightly memory cycleSelf-improving context

Costs & incentives

Microsoft profits from your compute.
Myriade reduces it.

Fabric Copilot charges 400 CU-seconds per 1,000 input tokens and 1,200 CU-seconds per 1,000 output tokens. At pay-as-you-go rates, that works out to roughly $20/1M input tokens and $60/1M output tokens, compared to ~$2.50 and ~$10 for direct GPT-4o API access. That is a 7-8x markup on input tokens. Even with reserved capacity (~$0.107/CU-hour), the markup is still 4-5x. Every SQL query Copilot generates runs on your Fabric capacity, consuming additional CUs from the same pool as all your other workloads.

Myriade's AI pricing uses a fixed per-user fee with included token credits, at roughly 2 to 3x the direct API rate. And Myriade's FinOps Agent actively audits your warehouse spending, with customers consistently finding 27-40% in compute savings. Microsoft's revenue model is capacity-based: an AI layer that generates SQL is, by design, a compute consumption engine for its vendor. Myriade is structurally incentivized to reduce your infrastructure costs, not profit from them.

AI token cost vs. direct API pricing
FabricCopilot (pay-as-you-go)
7-8x
FabricCopilot (reserved)
4-5x
MyriadeMyriade
2-3x
1x2x3x4x5x6x7x8x9x

Markup vs. direct API pricing

Compute cost
FabricFabric Copilot

Copilot + SQL queries compete for the same CU pool as all other Fabric workloads.

MyriadeMyriade

FinOps Agent actively reduces your warehouse compute.

-27-40%

Multi-source & portability

Your intelligence should survive a cloud migration.

Fabric is Azure-native. Copilot, semantic models, Data Agents, and governance configs all live inside the Azure ecosystem. The raw data format is open (Delta Lake), and OneLake can shortcut to S3 and GCS. So the data itself is technically portable. But the intelligence layer (semantic models, Prep for AI configs, verified answers, Copilot context) does not transfer. If you migrate away from Azure, you rebuild from scratch.

Myriade connects to all major warehouses simultaneously. The intelligence layer (documentation, context, business rules) lives in Myriade and follows you across any supported source. If you migrate from Fabric to Snowflake, or add BigQuery alongside your existing setup, the context layer comes with you.

FabricCopilot can query
Fabric
Fabric semantic models only
MyriadeMyriade can query
Snowflake
Snowflake
BigQuery
BigQuery
Databricks
Databricks
Redshift
Redshift
Fabric
Fabric
MySQL
MySQL
SQL Server
SQL Server
PostgreSQL
PostgreSQL
DuckDB
DuckDB
Oracle
Oracle
MongoDB
MongoDB

Currently supports up to 3 simultaneous connections.*

Feature comparison

Feature
MyriadeMyriade
FabricFabric Copilot
Data understanding
Warehouse-wide context layer built through statistical profiling, data sampling, and cross-table analysis. ~90% autonomous, down to table and column level.
Relies on manually built semantic models. OneLake Catalog auto-generates descriptions (surface-level). Prep for AI allows manual instruction configuration.
Scope
Every table, from day one. Joins inferred automatically.
Bounded by semantic model scope. Tables not in a model are invisible to Copilot.
Learning
Nightly memory cycle learns from all users. Org-level and user-level instructions. Context deepens automatically over time.
Manual verified answers and AI instructions per semantic model. 24h response caching. No cross-session automatic learning.
Data sources
Snowflake, BigQuery, Databricks, Redshift, Fabric, PostgreSQL, Oracle, MongoDB, and more. Up to 3 simultaneous connections.
Azure-native. Copilot works on Fabric semantic models. Data Factory connects to 170+ sources for ingestion, but AI features are Fabric-bound.
Costs
Fixed per-user fee with token credits and optional top-ups. 2-3x direct API rate vs Fabric's 7-8x. FinOps Agent optimizes warehouse compute (27-40% savings).
CU-based token billing at 7-8x direct API pricing (pay-as-you-go). SQL execution consumes additional capacity. Competes with all other Fabric workloads for same CU pool.
Portability
Intelligence layer follows you across any supported source.
Semantic models, Prep for AI configs, and Copilot context are Azure-bound. Data format (Delta Lake) is open.
Transparency
Full reasoning chain, editable SQL, visible data. Pauses on ambiguity instead of guessing.
Shows generated DAX queries (editable). Does not flag uncertainty or pause on ambiguity.
Data quality
Proactive detection of duplicates, inconsistencies, missing fields within analysis workflows.
Data quality via Microsoft Purview integration. Monitoring-oriented, not embedded in AI analysis workflow.
Governance
Full RBAC with import of existing roles and permissions (shipping Q2 2026).
Mature RBAC, Purview integration, sensitivity labels, full audit logs. Fabric's governance is more established.
Ecosystem
Focused AI intelligence layer. Integrates with existing stack.
Full data platform with Power BI, Data Factory, Data Science, Teams/Excel integration, Microsoft 365 ecosystem.

Testimonials

Trusted by both data and business teams.

Jules
“We documented over 150 tables in less than a week with Myriade. 90% of the data was validated automatically.”

Jean-François Jouannais

Head of Data & AI Product

Jean-François Jouannais
Recommerce
“I appreciate Myriade for its semantic ‘magic’, which understands our tables and handles complex joins.”

Solvita Jancevska

Data Steward

Solvita Jancevska
0queries answered this month
Myriade helps me daily to optimize my queries, better understand business needs, and find information faster.
Marius Saka

Marius Saka

Lead Data Analytics @ Jules

I was impressed pretty quickly because I don’t have a data background, and Myriade lets me do things I simply couldn’t do otherwise.
Allan Lemoine

Allan Lemoine

Head of Logistics @ Jules

Myriade is the dream tool for anyone who wants to speed up decision-making. You analyze incredibly fast and dig deeper into results through conversation.
Yohan Talik

Yohan Talik

Head of Performance @ Jules

It’s like an automatic gearbox. Once you’ve tried it, you never want to go back.
Fares Daoud

Fares Daoud

Tech Lead Data & AI @ Jules

Myriade sees far ahead. In two months, we had an intelligence engine to analyze our data. It’s a magic wand for business teams.
Moez Hamad

Moez Hamad

Chief Data Officer @ Jules

Myriade helps me daily to optimize my queries, better understand business needs, and find information faster.
Marius Saka

Marius Saka

Lead Data Analytics @ Jules

I was impressed pretty quickly because I don’t have a data background, and Myriade lets me do things I simply couldn’t do otherwise.
Allan Lemoine

Allan Lemoine

Head of Logistics @ Jules

Myriade is the dream tool for anyone who wants to speed up decision-making. You analyze incredibly fast and dig deeper into results through conversation.
Yohan Talik

Yohan Talik

Head of Performance @ Jules

It’s like an automatic gearbox. Once you’ve tried it, you never want to go back.
Fares Daoud

Fares Daoud

Tech Lead Data & AI @ Jules

Myriade sees far ahead. In two months, we had an intelligence engine to analyze our data. It’s a magic wand for business teams.
Moez Hamad

Moez Hamad

Chief Data Officer @ Jules

Conclusive results and great internal adoption. Kudos for the product and what it delivers.
Pierre-Antoine Roinat

Pierre-Antoine Roinat

CEO & Co-founder @ Recommerce

With Myriade I can work 5 to 6 times faster than if I was trying to find things myself.
Valentin Poulet

Valentin Poulet

Head of Merchant Partnerships @ Ekip

It’s ChatGPT for our data. Whenever I need information, instead of digging around, I ask Myriade and get my answer in 2 minutes.
Angèle Miard

Angèle Miard

Customer Success Manager @ Ekip

It’s like having a pocket data analyst. It runs incredibly precise analyses, spots bugs, and finds things that would have taken me hours to find on my own.
Sandrine Eklou

Sandrine Eklou

Customer Success Manager @ Ekip

Conclusive results and great internal adoption. Kudos for the product and what it delivers.
Pierre-Antoine Roinat

Pierre-Antoine Roinat

CEO & Co-founder @ Recommerce

With Myriade I can work 5 to 6 times faster than if I was trying to find things myself.
Valentin Poulet

Valentin Poulet

Head of Merchant Partnerships @ Ekip

It’s ChatGPT for our data. Whenever I need information, instead of digging around, I ask Myriade and get my answer in 2 minutes.
Angèle Miard

Angèle Miard

Customer Success Manager @ Ekip

It’s like having a pocket data analyst. It runs incredibly precise analyses, spots bugs, and finds things that would have taken me hours to find on my own.
Sandrine Eklou

Sandrine Eklou

Customer Success Manager @ Ekip

Frequently Asked Questions

Yes, natively. Myriade connects to Fabric, Azure SQL, and OneLake with read-only access. Many teams use Myriade as a portable AI intelligence layer on top of their existing Fabric setup, adding warehouse-wide data understanding and self-service analytics that go beyond what Copilot provides.

AI on all your data, not just the tables someone had time to model.

Start with a risk-free warehouse audit that typically finds 27-40% in compute savings. Then see what happens when AI actually understands your data.

TRUSTED BY DATA TEAMS AT

Promod logo
Dickson logo
Jules logo
Ekip logo
Le Plein logo
Vroomly logo
Recommerce logo