Monte Carlo tells you something broke. Myriade tells you why, and helps you fix it.

Data observability tools alert on symptoms but don't fix the root cause. Myriade combines documentation and quality in one platform, because understanding your data is what makes quality issues visible and fixable.

Observability without understanding

Monte Carlo and Sifflet monitor your pipelines and alert when anomalies appear. That's valuable. But you're drowning in alerts with no context: Why did this metric spike? Is this table still used? What does this column actually mean? Observability without data understanding is like a smoke alarm with no fire department.

Alert fatigue: hundreds of alerts, no prioritization based on business impact. Your team wastes hours triaging issues that don't matter.

No root cause: observability tells you something changed, not why. Without documentation and data understanding, debugging is guesswork.

Separate tools, separate budgets: you pay for quality monitoring AND a catalog AND a BI tool. Three tools that should be one.

No self-service: data quality tools are for engineers. Business teams never see them, they just see wrong numbers in their dashboards.

Myriade vs Monte Carlo / Sifflet

Feature

Myriade

Monte Carlo / Sifflet

Approach

Documentation + quality + self-service in one platform

Observability alerts only, separate from documentation

Root cause analysis

AI understands your data model and traces issues to their source

Alerts on symptoms, root cause analysis is manual

Data documentation

90% auto-generated: profiling, sampling, cross-table analysis

Not available, not a documentation tool

Business impact

Self-service analytics makes quality visible to business teams

Engineering-only tool, business teams are blind

Alert context

Every issue comes with documented context: what the data means, who uses it, what breaks downstream

Raw alerts without business context

Total cost

One platform covers catalog + quality + part of BI stack

Quality monitoring only, still need catalog and BI separately

Why data teams choose Myriade over Monte Carlo

Why teams choose Myriade

Understanding is the real quality layer

You can't fix what you don't understand. Myriade documents your data first, then quality issues become visible, traceable, and fixable. Monte Carlo alerts on anomalies but leaves the hard work of understanding to you.

One platform, not three

Stop paying for a catalog, a quality tool, and a BI tool separately. Myriade combines documentation, quality, and self-service analytics in one platform. Deployed in 72h on your existing warehouse.

Quality that business teams can see

When a business user asks a question, Myriade surfaces data quality warnings alongside the answer. No more silent wrong numbers reaching board meetings. Trust is built into every interaction.

“Myriade is a real magic wand for business teams.”

Moez Hamad

Chief Data Officer, Jules

Frequently Asked Questions

For most teams, yes. Myriade combines documentation and quality detection in one platform, with the added benefit of self-service analytics. If you have very complex pipeline monitoring needs, both can coexist.

Stop alerting. Start understanding.

Combine documentation, quality, and self-service in one platform, deployed in 72h on your existing warehouse.