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Zenlytic Metrics Layer
New York, NY
What it is
Zenlytic Metrics Layer is an open-source project for giving people across an organization consistent access to metrics. It reads a data model and exposes metrics and dimensions through a Python client library or SQL using an MQL tag. Listed capabilities include governed metrics, dimensions and joins, row-level security, and a query API. The project is self-hosted and available under the Apache-2.0 license. Its repository lists Snowflake, BigQuery, Postgres, Druid, DuckDB, SQL Server, and Redshift support, though Druid, DuckDB, and SQL Server are limited to SQL compilation rather than query execution. Zenlytic is the only supported BI tool. The documentation describes dbt semantic-layer integration through Metricflow versions 1.8 through 1.10 and says dbt Metrics is no longer supported in version 0.11 and above. The open-source plan costs nothing and requires Python >=3.8 and <3.11; warehouse support varies by connector. Zenlytic’s separate platform has seat-based and query-based pricing plus platform fees, with an exact quote requiring a sales conversation.
For and against
For
- Open-source Apache-2.0 license
- Exposes metrics through Python or SQL
- Includes row-level security and a query API
- Supports several data warehouses
Against
- Zenlytic is the only supported BI tool
- Some warehouses support compilation but not query execution
- Requires Python >=3.8 and <3.11
- Warehouse support varies by connector
The verdict
Metrics Layer offers an open-source, self-hosted route to consistent metric access with governance features. Its BI, warehouse, and Python-version constraints should be checked against your environment.
Who it suits
It suits organizations seeking shared metric definitions and row-level access controls that can run a self-hosted project. Teams should check connector limitations and the supported BI tool before adopting it.
Plans and prices
Open-source Metrics Layer
Apache-2.0 · Python >=3.8 and <3.11 · Warehouse support varies by connector
Read 8 Oct 2026 · github.com
On the record
- BI support
- The repository says Zenlytic is the only supported BI tool for Metrics Layer.github.com · read 8 Oct 2026
- dbt integration
- The documentation says Metrics Layer integrates with dbt's semantic layer using Metricflow versions 1.8 through 1.10, and no longer supports dbt Metrics in version 0.11 and above.docs.zenlytic.com · read 8 Oct 2026
- How it works
- It reads a data model and exposes metrics and dimensions through a Python client library or SQL using an MQL tag.github.com · read 8 Oct 2026
- Open-source license
- The GitHub repository identifies the project as public and lists an Apache-2.0 license.github.com · read 8 Oct 2026
- Platform security
- Zenlytic's product page states that the platform is SOC 2 Type II certified and lists SSO/SAML, role-based access, and agent-level permissions.zenlytic.com · read 8 Oct 2026
- Pricing
- Zenlytic's pricing model is seat-based with query-based pricing and platform fees; the company says an exact quote requires a sales conversation.zenlytic.com · read 8 Oct 2026
- Purpose
- Metrics Layer is an open-source project intended to make access to metrics consistent across an organization.github.com · read 8 Oct 2026
- Setup
- The repository provides warehouse-specific pip install commands and says users can pass connection details directly to Metrics Layer to start querying.github.com · read 8 Oct 2026
- Support
- Zenlytic's support policy lists email support for technical issues, account configuration, data connectivity, and billing questions, plus an AI support agent available 24/7.docs.zenlytic.com · read 8 Oct 2026
- Target users
- The project aims to give people across an organization consistent access to metrics from the tools they use to access data.github.com · read 8 Oct 2026
- Trial
- A Zenlytic company blog post says the platform offers a free trial to connect a warehouse and test Zoë; it does not state the trial duration.zenlytic.com · read 8 Oct 2026
- Warehouse support
- The repository lists Snowflake, BigQuery, Postgres, Druid, DuckDB, SQL Server, and Redshift, with Druid, DuckDB, and SQL Server limited to SQL compilation rather than query execution.github.com · read 8 Oct 2026
