Myriade
The first AI-native data platform for modern data teams
What is Myriade? Complete Overview
Myriade is the first AI-native data platform designed to help data teams explore, clean, transform, and govern their data warehouse from a single interface. It addresses key pain points like poor data discoverability, endless ad-hoc queries, silent data errors, messy pipeline builds, and compliance risks. Myriade is built from the ground up to leverage AI agents, offering a unified solution that eliminates the complexity of traditional data tools. It's trusted by modern data teams using Snowflake, BigQuery, MotherDuck, and other data warehouses. The platform is ideal for data engineers, analysts, and teams looking to automate repetitive tasks and focus on value creation rather than maintenance.
Myriade Interface & Screenshots
Myriade Official screenshot of the tool interface
What Can Myriade Do? Key Features
Data Catalog Agent
Instantly catalog your warehouse with AI. Discover tables, columns, lineage, usage, owners, and freshness with smart search across schemas and tags. Get auto-summaries of tables and fields, lineage & dependencies context for safer joins, and suggested metrics & definitions for consistency.
Data Quality Agent
Automate quality monitoring and rule creation. Myriade surfaces anomalies, stale data, failing checks, and suspicious metrics. It leverages existing tests and lineage to explain what broke and why, with Slack/Email summaries for fast triage.
Data Modelling Agent
Turn queries into reusable data products. Generate model scaffolds and documented views aligned to your conventions, ready to bring into dbt or SQLMesh. Encourages consistent definitions across teams.
Data Exploration Agent
Get ad-hoc insights at lightning speed. Myriade writes queries, fixes errors, adapts formats, and returns tables, charts, and plain-English explanations. Works on raw and transformed data alike with one-click export to CSV or notebooks/BI.
Best Myriade Use Cases & Applications
Data Discovery & Cataloging
Teams struggling with poor data discoverability can use Myriade to auto-index their entire warehouse, making tables, columns, lineages, and usage instantly accessible.
Ad-hoc Query Handling
Data teams drowning in ad-hoc queries can leverage Myriade to write queries, fix errors, and return tables/charts with plain-English explanations.
Data Quality Monitoring
Identify silent data errors with Myriade's anomaly detection, stale data alerts, and root-cause analysis powered by lineage context.
Compliance & Governance
Enforce policy, access control, and protect sensitive data with Myriade's always-updated knowledge of what data lives where and who can access it.
How to Use Myriade: Step-by-Step Guide
Book a demo or sign up to connect your data warehouse (Snowflake, BigQuery, MotherDuck, etc.). No migrations or new dashboard layers required.
Let Myriade auto-index your entire data warehouse. Tables, columns, lineages, usage, owners, and freshness become instantly accessible.
Use the Data Catalog Agent to explore your data, Data Quality Agent to monitor anomalies, Data Modelling Agent to create reusable data products, or Data Exploration Agent for ad-hoc queries.
Integrate with your existing workflow (dbt, SQLMesh, Slack, etc.) and start automating repetitive tasks while focusing on high-value work.
Myriade Pros and Cons: Honest Review
Pros
Considerations
Is Myriade Worth It? FAQ & Reviews
Myriade is the first AI-native data platform designed to help data teams explore, clean, transform, and govern their data warehouse from a single interface.
Myriade is built from the ground up with AI agents, offering active capabilities like auto-summaries, anomaly detection, and query generation rather than just passive documentation.
Yes, Myriade's Data Exploration Agent allows business teams to get self-service insights with plain-English explanations, reducing dependency on data teams.
No, Myriade integrates with your existing stack (dbt, Snowflake, BigQuery, etc.) and enhances it with AI capabilities.
Myriade is designed for modern data teams using warehouses like Snowflake or BigQuery who want to automate repetitive tasks and focus on value creation.