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Headless BI for building data apps

Consume data from any data source, organize it into consistent metrics, and use it with every app.

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Cube: API-First Business Intelligence

Cube is an API‑first business intelligence platform for data engineers and application developers to make data accessible and consistent across every application.

What is Headless BI?

Define a data model, manage security and multitenancy, accelerate your queries, and expose data to your applications via SQL, REST, and GraphQL APIs.

YAML
JS

cubes:
  - name: active_users
    sql: SELECT user_id, timestamp FROM events
    measures:
      - name: weekly_active
        sql: id
        type: count_distinct
        rolling_window:
          trailing: 7 day
          offset: start
    dimensions:
      - name: time
        type: time
        sql: timestamp

Data Modeling

Centrally‑managed definitions ensure every user gets uniform insights instead of inconsistent signals.

Learn about defining a data model.

Access Control

Cube coordinates access control upstream of data applications, so that the right people have access to the right metrics.

Learn about implementing access control.

Caching

Store query results to prevent identical queries from increasing the load on your data warehouse, and implement aggregate awareness to find the smallest, most efficient table to serve every query.

Learn about pre-aggregations.

Instant APIs

Integrate with data visualization tools and business intelligence dashboards, and bind to popular front‑end frameworks to power custom interfaces.

Learn about supported REST, GraphQL, and SQL APIs.

SQL
REST
GraphQL

SELECT
  date_trunc('day', time) as day,
  MEASURE(weeklyActive)
FROM ActiveUsers
WHERE time >= '2021-01-01' AND time < '2021-01-07'
GROUP BY day

Ship faster

Save time, complexity, and development costs.

Build new data apps in hours instead of weeks

Automate API development work

Leverage optimized infrastructure

Cube really stood out as a great fit for our use case. We were able to level‑up our data infrastructure without needing to build a full‑blown and expensive data pipeline.

Jc Weinrich

Architect

Cube helped us reduce response times 100x and increase the amount of information we could display on our customer facing dashboards.

Thomas Ankcorn

Technical Lead

Cube is an API that's built already. We’re not starting from scratch. Otherwise we’d be building an HTTP layer and abstraction over SQL.

Craig Beck

Software Engineer

We can develop and ship analytics products without dealing with any net new infrastructure development going forward. Our efforts are focused on what matters: the data and the UI.

Louis Zuckerman

Staff Software Engineer & Team Lead

Cube provides us with the framework and tools to build our custom data visualization platform with minimal effort. Our full‑stack developers are able to get productive quickly, optimizing performance wherever possible.