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Metriql

metriql.com

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Spec score 7.4 #21 of 28 in Semantic Layer Software

Spec sheet

Product
Metriql describes itself as a headless BI and metadata layer for centrally defining metrics and sharing them across data tools.Read 9 Oct 2026 · metriql.com
Intended users
The introduction describes use by business, finance, and marketing teams with BI tools, product managers with analytics tools, analysts using SQL, and data scientists using Python, R, and APIs.Read 9 Oct 2026 · metriql.com
API
The REST API serves datasets from a dbt Core manifest and supports JWT-based authorization when configured with API auth secrets.Read 9 Oct 2026 · metriql.com
Security
The REST API supports JWT-based authorization when configured with API auth secrets, and embedded analytics supports authorization and CORS.Read 4 Oct 2026 · metriql.com
Support
The documentation invites users to suggest integrations on GitHub and join the Metriql Slack community.Read 9 Oct 2026 · metriql.com
Aggregates
Metriql can programmatically create dbt roll-up models to speed up BI and other data tools.Read 4 Oct 2026 · metriql.com
BI integrations
The integrations page lists Tableau, Redash, Superset, Mode Analytics, Metabase, Looker, and Google Data Studio as ready; it says integrations are in alpha.Read 9 Oct 2026 · metriql.com
Central metrics
Metriql lets teams define metrics centrally and synchronize them to other tools.Read 4 Oct 2026 · metriql.com
Data handling
Metriql's privacy policy says its connectors may cache data in short-lived encrypted caches and that data almost always remains in the user's environment.Read 4 Oct 2026 · metriql.com
Data warehouse
Metriql works on top of a data warehouse and compiles queries to SQL for the target warehouse.Read 9 Oct 2026 · metriql.com
Database support
The listed adapters include Postgres, Redshift, BigQuery, Snowflake, Presto, MySQL, SQL Server, Azure SQL, and ClickHouse; the page notes that not all dbt adapters are supported.Read 4 Oct 2026 · metriql.com
dbt
Metriql integrates with dbt, maps dbt resources as datasets, and can create automatic roll-up models.Read 9 Oct 2026 · metriql.com
dbt execution
Metriql does not run dbt Core models; users must run table or incremental models themselves.Read 9 Oct 2026 · metriql.com
dbt integration
Metriql integrates with dbt, maps dbt resources to datasets, and can generate roll-up models.Read 4 Oct 2026 · metriql.com
Embedded analytics
The REST API can serve as the backend for single-page analytical applications and supports authorization and CORS.Read 9 Oct 2026 · metriql.com
Integration maturity
The BI integrations page says all integrations are in alpha.Read 4 Oct 2026 · metriql.com
Interfaces
The project includes a REST API, JDBC driver, and CLI, and supports embedded analytics through the REST API.Read 4 Oct 2026 · github.com
Maintainer
The FAQ says LiveRamp acquired Metriql in December 2021 and its teams have maintained it since.Read 9 Oct 2026 · metriql.com
Notable limit
Metriql does not run dbt models; users need to run table or incremental models themselves.Read 4 Oct 2026 · metriql.com
Open source
The FAQ describes Metriql as open-source and says it can be run in a company's own infrastructure or served to its customers.Read 9 Oct 2026 · metriql.com
Other integrations
The integrations page lists Google Sheets and JDBC clients including DBeaver and JetBrains DataGrip as ready, and Power BI as in progress.Read 9 Oct 2026 · metriql.com
Performance
The FAQ says Metriql acts as a query proxy, does not process queries itself, and maintains pooled connections to the target warehouse.Read 9 Oct 2026 · metriql.com
Query execution
Metriql rewrites queries and runs them on the target database; it says it does not embed Trino or process data itself.Read 4 Oct 2026 · metriql.com

Where Specifiction places it

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