Looker vs Synmetrix

Looker helps organizations explore, share, and visualize company data for business decisions. Its LookML semantic models define dimensions, aggregates, calculations, and relationships, then use those definitions to generate SQL queries. Gemini-powered natural-language analytics lets users ask questions, while Dashboard Agents provide summaries and explorations grounded in governed metrics. Looker connects to BigQuery, Spanner, Cloud SQL for MySQL, Cloud SQL for PostgreSQL, and other Google services. The Looker Marketplace offers applications, prebuilt LookML models, visualizations, and actions for delivering data to third-party services. Listed capabilities include hourly refresh, row-level security, scheduled reports, and embedded analytics. Deployment is hybrid, with web, Android, iOS, API, and self-hosted options. Mobile apps let users view Looks and dashboards. Google documents TLS 1.2 or later for data in transit and AES-256 encryption for locally stored sensitive application data. A free 14-day trial is advertised, but there is no free plan. Standard, Enterprise, and Embed each list one production instance, 10 Standard Users, and two Developer Users; their API call allowances differ. Pricing is on request.

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.