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Myriade vs Dataiku

You don't need a data science platform. You need your team to trust the numbers.

Dataiku is built for data scientists building ML pipelines. But your real problem isn't machine learning. It's that business teams can't access reliable data without filing tickets. Myriade makes everyday analytics trustworthy and accessible, without the data science overhead.

Data understanding

Myriade goes far beyond your metadata.

Dataiku 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 Dataiku sees

Column names

Schema metadata

Query history

Basic descriptions

Depth of analysis

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 wrong tool for the most common problem

Your CDO bought Dataiku to 'democratize data.' But Dataiku is a data science platform, built for ML workflows, feature engineering, and model deployment. Meanwhile, 90% of your data needs are basic: 'What's our revenue by region?', 'Which products are trending?', 'Why did this KPI drop?' Dataiku is a Swiss Army tank for a problem that needs a sharp, focused tool.

Data science skills required: Dataiku's visual interface helps, but building reliable flows still requires technical expertise. Business teams can't use it autonomously.

Heavy and expensive: enterprise licenses, long implementation, training programs. Most of the platform's ML capabilities go unused.

Not built for messy data: Dataiku assumes clean, structured inputs for its pipelines. Your messy, undocumented enterprise data needs understanding first.

Self-service is an afterthought: Dataiku focuses on ML model building. The ad-hoc analytics question from a marketing director isn't its primary use case.

Feature comparison

Myriade

Self-service analytics on everyday business questions

Dataiku

ML pipeline building and model deployment

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 CDOs choose Myriade over Dataiku

Why teams choose Myriade

Built for the 90% of data needs that aren't ML

Most data questions are analytical, not predictive. 'What happened?', 'Why?', 'What should we focus on?' Myriade answers these questions reliably in natural language, without requiring a data science degree.

Works on your data as it is

Myriade was built for messy enterprise reality. It achieves ~80% accuracy on raw, undocumented data by reverse-engineering your warehouse through statistical profiling, sampling, and cross-table analysis. No data preparation required.

Real self-service for real business teams

Operations directors, product leads, marketing managers: anyone can ask a question and get a trustworthy answer. No training programs, no visual flow builders, no technical overhead. Deployed in 72h.

Testimonials

Loved by both data and business teams.

We documented over 150 tables in less than a week with Myriade. 90% of the data was validated automatically.
Jean-François Jouannais

Jean-François Jouannais

Head of Data & AI Product @ Jules

I appreciate Myriade for its semantic ‘magic’, which understands our tables and handles complex joins.
Solvita Jancevska

Solvita Jancevska

Data Steward @ Recommerce

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

We documented over 150 tables in less than a week with Myriade. 90% of the data was validated automatically.
Jean-François Jouannais

Jean-François Jouannais

Head of Data & AI Product @ Jules

I appreciate Myriade for its semantic ‘magic’, which understands our tables and handles complex joins.
Solvita Jancevska

Solvita Jancevska

Data Steward @ Recommerce

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

Chief Operational Officer @ Ekip

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

Chief Operational Officer @ Ekip

Frequently Asked Questions

They serve different purposes. Dataiku excels at ML pipelines and model deployment. Myriade excels at making everyday analytics reliable and accessible. If you need ML, keep Dataiku. If you need self-service analytics, Myriade is purpose-built for it.
Yes. Dataiku for your data science team's ML workflows. Myriade for business self-service, data documentation, and governance. Both connect to the same warehouse.
A common pattern: Dataiku is powerful but requires technical skills. Business teams can't use it autonomously. Myriade solves the adoption problem by offering natural language access, no training required, value in week one.
Read-only access, self-hosted option, zero data retention, zero training on customer data. GDPR compliant. Warehouse-native on Snowflake, BigQuery, Databricks, and Redshift.

Your business teams need answers, not ML pipelines.

Deliver reliable self-service analytics to your entire organization in 72h, no data science skills required.

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