CData Semantic Layer vs MetricFlow
CData Semantic Layer
cdata.comMetricFlow
github.comSide by side
| Figure | CData Semantic Layer | MetricFlow |
|---|---|---|
| Price from | — | $100/mo |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | Yes |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 5 |
| Spec score · Semantic Layer Software | 7.5 (#19) | 9.1 (#3) |
| Founded | 2016 | 2016 |
| Headquarters | Chapel Hill, North Carolina, United States | Oakland, California, USA |
| Integrations | The product page names Google, SAP, Palantir, Zebra, Salesforce, UiPath, GSK, and Office Depot among its displayed organizations. | Official documentation lists downstream integrations including Tableau, Hex, Dot, Mode, and Google Sheets. |
| Purpose | CData Semantic Layer unifies enterprise data across on-premises, cloud, and SaaS environments into a governed source of truth for people and AI. | MetricFlow defines and manages metric logic and generates SQL for querying metrics across data dimensions. |
Plans
MetricFlow
- DeveloperFree
- MetricFlowFree
- Starter$100 a month
- EnterprisePriced on request
- Enterprise+Priced on request
In their own words
CData Semantic Layer
CData Semantic Layer has no write-up on Specifiction yet; its figures are above.
MetricFlow
MetricFlow is a free, open-source tool from dbt Labs for defining metric logic and generating SQL across data dimensions. Metrics and semantic models are written in YAML within a dbt project, using simple, conversion, cumulative, derived and ratio types. Entity types and parameters construct joins while avoiding fan-out and chasm joins. MetricFlow works with dbt 1.6 and higher and lists Snowflake, BigQuery, Databricks and Redshift, plus Postgres for dbt v1 only. A working dbt project and adapter are required. It is distributed under Apache 2.0 and installs from PyPI with `pip install dbt-metricflow`. The tool does not currently support dbt built-in functions or packages. Custom integrations can use JDBC, ADBC, GraphQL or the Python SDK. The dbt Semantic Layer, powered by MetricFlow, lists integrations including Power BI, Tableau, Google Sheets, Excel, Omni, Hex, Mode and Sigma. MetricFlow is self-hosted and costs nothing; hosted Semantic Layer Starter access is listed at $100 per user/month.