Used For

• +**Your team gets different user counts from different dashboards** → One source of truth for metrics, everyone sees the same numbers
• +**Queries take 45 seconds and your CEO is tapping their fingers** → Pre-built summaries make dashboards load in 2 seconds
• +**You're writing the same "monthly active users" logic in 6 different places** → Write it once, use it everywhere through APIs
• +AI-assisted modeling generates your data definitions automatically - no more starting from scratch
• +Connects to your existing tools through REST, GraphQL, or SQL without rebuilding everything

Best For

• >Your warehouse crashes every time the AI team runs their weekly "let's analyze everything" query
• >You're manually copying the same customer count into 5 different dashboards
• >Tried building analytics in-house and your developers are crying into their keyboards

Not For

• -Teams without developers - this requires coding to set up and maintain
• -Companies under 10 people - you're paying for infrastructure you don't need yet
• -Anyone wanting drag-and-drop dashboards - you'll need to build those yourself or use another tool

Pairs With

• *Snowflake (where your actual data lives and Cube connects to query it)
• *React (to build the actual dashboards and charts that display Cube's data)
• *dbt (handles the messy data transformations before Cube makes it pretty)
• *Tableau (for executives who want drag-and-drop charts instead of custom APIs)
• *Power BI (syncs directly with Cube's semantic layer on Enterprise plans)
• *Slack (where your team celebrates when queries finally run in under 5 seconds)
• *GitHub (where you'll store and version control your data models)

The Catch

• !You're capped at 100 requests per second across all your apps - high-traffic dashboards will hit this wall
• !The "2-week setup" assumes you have developers who know SQL and can write YAML configs
• !No built-in charts or dashboards - you get the data fast, but you still need to build the pretty interfaces

Bottom Line

Built for developers who are tired of building the same metrics API for the third time this year.