Cube
7.9#2 in data transformation toolsFrom $40 a monthFree planWebAPILinuxSelf-hosted
VisitCube vs MetricFlow
MetricFlow
8.1#1 in semantic layer softwareFrom $100 a monthFree planWebAPILinuxmacOS
VisitWhat both publish
| Fact | Cube | MetricFlow |
|---|---|---|
| Documentation depth | The documentation covers administration, embedding, APIs, Cube Core, recipes, modeling, joins, measures, dimensions, pre-aggregations, integrations and MCP. | The developer documentation includes guides for joins, time spines, validations, semantic models, metrics, saved queries, advanced modeling, deployment, caching, exports, integrations, and APIs. |
| Founded | 2019 | 2016 |
| Integrations | Listed data sources include Snowflake, BigQuery, Redshift, Databricks, ClickHouse, PostgreSQL, MySQL, MongoDB, Trino, Presto and AWS Athena. | Official documentation lists downstream integrations including Tableau, Hex, Dot, Mode, and Google Sheets. |
| Security | Cube states that data is encrypted at rest, API access uses token-based security, and application traffic is encrypted over SSL/TLS 1.2. | dbt Labs reports ISO certifications, a SOC 2 Type II examination, and GDPR compliance for dbt. |
Cube plans
- FreeFree
- Starter$40 a month
- Premium$80 a month
- EnterprisePriced on request
MetricFlow plans
- DeveloperFree
- MetricFlowFree
- Starter$100 a month
- EnterprisePriced on request
- Enterprise+Priced on request
Pick Cube if…
Cube suits teams building internal BI or embedded analytics that need governed business definitions shared across dashboards, applications, and AI agents. It also fits teams that want a free starting plan or cloud deployment choices.
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.