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Metriql vs Zenlytic Metrics Layer

Both stand on semantic layer software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Metriql

Free plan APISelf-hostedWeb

Choose Metriql if you want a free, self-hosted way to define metrics centrally and expose them through BI and data tools. Teams that need mature BI integrations or want Metriql to run their dbt table or incremental models should account for the project's alpha integrations and model-running requirement.

Visit Metriql

Zenlytic Metrics Layer

Free plan API

Metrics Layer provides a self-hosted, open-source way to expose governed metrics through Python or SQL. Connector limits and its single supported BI tool may determine whether it fits an organization's data setup.

Visit Zenlytic Metrics Layer

The facts

MetriqlZenlytic Metrics Layer
Free planYesYes
Open sourceNot publishedNot published
Runs onAPI, Self-hosted, WebAPI
Lowest paid planNot publishedFree or on request
Plans publishedNone1
MakerNot publishedNot published
Websitemetriql.comgithub.com
On semantic layer software#11 of 28#15 of 28

Metriql: what it does well

  • Open-source metrics store for defining metrics as code.
  • Integrates with dbt and maps its resources to datasets.
  • Provides a REST API, JDBC driver, and CLI.
  • Listed adapters include Postgres, BigQuery, Snowflake, and ClickHouse.
  • Supports centrally defined, governed metrics and dimensions with joins.

What to know first

  • All listed BI integrations are in alpha.
  • Metriql does not run dbt models; teams must run table or incremental models themselves.
  • Not all dbt adapters are supported.

Zenlytic Metrics Layer: what it does well

  • Open source under Apache-2.0.
  • Exposes metrics through Python or SQL.
  • Includes row-level security and governed metrics.
  • Lists seven warehouse connectors.
  • Self-hosted deployment model.

What to know first

  • Only Zenlytic is listed as a supported BI tool.
  • Three connectors support SQL compilation, not execution.
  • Python must be >=3.8 and <3.11.
  • Warehouse support varies by connector.

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