Defining mission-critical business metrics inconsistently leads to miscommunication, misalignment, and error. Keep everyone on the same page with data modeling upstream of every app.
Data Modeling
Access Control
Caching
APIsWhether you’re building an internal application, a dashboard, or an embedded analytics application, ensure they’ll all be powered by consistent data—and skip manually orchestrating metrics for each presentation layer. Combined with Cube’s advanced caching and pre-aggregation capabilities, this ensures that every downstream app stays updated with the latest information—cost-effectively and with low latency.
Cube’s integrations and REST, GraphQL, and Postgres-compliant SQL APIs ensure compatibility with every modern data stack. Plus, reduce context switching during development: data model in the language you already use—manage your semantic layer with JavaScript, YAML, or Python.
Use auto-generated data schemas to organize and query your data, manage your definitions with Cube’s customizable Metrics IDE, and improve application performance with intelligent caching. Spend less time writing queries and debugging—and more time with your actionable insights.
Cube’s data modeling is built on cubes comprised of measures and dimensions. Sort your data, define its granularities and how metrics are calculated from it, and query it—intuitively, efficiently, and fast.
Because all these operations happen downstream of your data sources and ETL/ETL processes and upstream of every application, the information fed to every data consumer is the same. Analytics are consistent: no matter the context of the analysis, its results fit into the same big picture.
Fully managed hosting of your Cube apps
With Cube, we’ve reduced the time required to generate real-time and historical reports from 10’s of seconds to less than 2, while reducing our spending on hosting by almost 80%.
Brandon Ellis
Co-Founder & CTO at Cuboh
With Cube, we’ve been able to speed up time to release a new data model to production by 5x and decrease analytics downtime by 90%.
Alessandro Lollo
Senior Data Engineer at Cloud Academy
We found an incredibly fast-to-market and flexible modern analytics solution: Cube. With it, we were able to deliver a highly customized and intuitive embedded analytics user experience—in two weeks, and without changing our stack.
Dhyan Shah
Product Manager at RamSoft