MetricFlow
8.1#1 in semantic layer softwareFrom $100 a monthFree planWebAPILinuxmacOS
VisitMetricFlow vs Synmetrix
What both publish
| Fact | MetricFlow | Synmetrix |
|---|---|---|
| Installation | Self-hosted installation uses pip with the dbt-metricflow package and optional adapter extras. | The repository's setup instructions use Docker and Docker Compose to deploy Synmetrix with PostgreSQL. |
| Integrations | Official documentation lists downstream integrations including Tableau, Hex, Dot, Mode, and Google Sheets. | The maker says Synmetrix connects to more than 50 data sources and can integrate with any BI tool. |
| Purpose | MetricFlow defines and manages metric logic and generates SQL for querying metrics across data dimensions. | It centralizes metric definitions so applications can use a consistent view of organizational data. |
| Requirements | Using MetricFlow requires a working dbt project and a dbt adapter. | The repository lists a 3.2 GHz or higher processor, at least 8 GB RAM, and at least 30 GB free disk space as hardware requirements. |
| Security | dbt Labs reports ISO certifications, a SOC 2 Type II examination, and GDPR compliance for dbt. | The site describes upstream data access controls for uniform security and governance, and lists role-based access control. |
MetricFlow plans
- DeveloperFree
- MetricFlowFree
- Starter$100 a month
- EnterprisePriced on request
- Enterprise+Priced on request
Synmetrix plans
- Open-source self-hosted appFree
Pick MetricFlow if…
MetricFlow may suit data teams that use dbt and want to define reusable metrics and generate SQL across dimensions. It requires a working dbt project and adapter.
Pick Synmetrix if…
Synmetrix may suit data engineers, developers, analysts, decision makers, and enterprises that want centrally governed metric definitions. It is oriented toward users prepared to deploy and operate a self-hosted platform.