Cube vs Synmetrix
Cube
cube.devSynmetrix
synmetrix.orgSide by side
| Figure | Cube | Synmetrix |
|---|---|---|
| Price from | $40/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 1 |
| Spec score · Semantic Layer Software | 9.3 (#1) | 8.4 (#8) |
| Access control | Access policies are enforced in the semantic layer for every consumer, including row-level and tenant-aware rules written in Python or JavaScript. | Synmetrix provides role-based access control for data models and metric access. |
| Deployment | Cube Cloud can run as a managed multi-tenant service on AWS or GCP, in a VPC on AWS, GCP, or Azure, or on a customer's cloud through BYOC. | Synmetrix is described as self-hosted and can be deployed using Docker Compose with a Postgres database. |
| Integrations | Listed data sources include Snowflake, BigQuery, Redshift, Databricks, ClickHouse, PostgreSQL, MySQL, MongoDB, Trino, Presto and AWS Athena. | The maker says Synmetrix connects to more than 50 data sources and can integrate with any BI tool. |
| Product | Cube is an agentic analytics platform built on a semantic layer for business users and AI agents. | Synmetrix is an open source data engineering platform and semantic layer for centralized metrics management. |
| 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. | The site describes upstream data access controls for uniform security and governance, and lists role-based access control. |
| Support | Cube lists community support for Free, limited chat and email for Starter, and chat and email plus a dedicated CSM for Enterprise. | The project lists its documentation, Slack community, and GitHub for help, discussion, and bug reports. |
| Use cases | Cube Cloud supports internal business intelligence and embedded analytics. | The repository lists business intelligence and reporting, embedded analytics, data democratization, and semantic-layer use with LLMs as use cases. |
Plans
In their own words
Cube
Cube is an analytics platform with a semantic layer that encodes governed business definitions for dashboards, embedded applications, and AI agents. Cube Cloud supports internal business intelligence and embedded analytics, while Cube Core is the open-source project alongside which the cloud platform is built. The Free plan includes a semantic layer IDE, workbooks, dashboard publishing, semantic model and workbook agents, and analytics chat. Listed data sources include PostgreSQL, Snowflake, ClickHouse, Databricks, BigQuery, MySQL, Oracle, Redshift, MongoDB, and Trino; integrations include dbt, Dagster, Prefect, Airflow, and Coalesce.io. Cube Core processes API requests using pre-aggregated data in Cube Store or raw data in connected databases. Cloud deployment options include a managed multi-tenant service on AWS or GCP, a VPC on AWS, GCP, or Azure, and a customer's cloud through BYOC. Cube lists a free plan, Starter at $40 a month per developer, and Premium at $80 a month per developer.
Synmetrix
Synmetrix is an open-source data engineering platform and semantic layer for defining and sharing organizational metrics from a central model. It uses Cube data models to define metrics and dimensions, then applies transformations and aggregations so applications can use consistent definitions. The maker says it connects to more than 50 data sources and can integrate with any BI tool. Users can explore metrics in its interface or distribute the model through a SQL API to BI tools, dashboards, reports and data science consumers. Model versioning and branching track changes, while query logs, caching and pre-aggregations support data workflows. Role-based access controls govern access to models and metrics; the project also describes upstream data controls for shared security and governance. Synmetrix supports scheduled reports and configurable alerts, with reports deliverable by email, Slack or webhooks. The core is Apache License 2.0 and the platform is intended for self-hosted, including on-premise, deployment. Setup uses Docker and Docker Compose with PostgreSQL. Listed hardware requirements are a 3.2 GHz or faster processor, at least 8 GB RAM and at least 30 GB free disk space.