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Build your analytical application in three simple steps with Cube.jsFollow these steps to build your
BigQuery Data Analytics
Step 1. Launch an analytical API. It will provide data for your applicationStep 2. Bootstrap a front-end application. It will help to explore dataStep 3. Explore data and build an app. Follow our complete and detailed guides
STEP 1Install Cube.js as an analytical API for BigQuery
Use Cube.js to launch an analytical API on top of your data storeCube.js is an open-source analytical API platformCube.js is used to build internal BI tools or add analytics to existing applications
Get started with Cube.js
$ npx cubejs-cli create bigquery-data-analytics -d bigqueryCopyand follow our Getting StartedGetting Started guide.
STEP 2Bootstrap a front-end application with React or other framework
Use Cube.js Playground to bootstrap a front-end applicationCube.js Playground is used to explore your data and test different chart types
Explore data and build an app
$ npx cubejs-cli create hello-worldCopyOpen http://localhost:4000/http://localhost:4000/ in your browserSTEP 3Explore data and build an application
Explore our BigQuery guides and create your applicationShare your experience with Cube.js communityExternal Rollups: Using MySQL as a Cache Layer for BigQueryExternal Rollups: Using MySQL as a Cache Layer for BigQueryReal-Time Dashboard GuideReal-Time Dashboard GuideJoin our fast‑growing developer community
Open source
100 contributors and 10,000+ stars on GitHubOpen source 100 contributors and 10,000+ stars on GitHub Vibrant community
2,000 members on SlackVibrant community 2,000 members on SlackWhat they’re saying
Hansjoerg Posch
Jul 11, 2020I just started working with Cube JS and it has been a pleasant experience so far! Kudos to all devs and especially thank you for the well written docs.
Travis Fischer
Mar 3, 2020I found Cube.js last night and have already integrated it into my user dashboards. Setup with MongoBI was a breeze and the query builder made getting started refreshingly simple.👍 5🚀 1
Pavel Tiunov
Jun 12, 2020Cube.js serves trillion data point sets in production. But it's for Athena though. Biggest RDBMS we've seen in production it's several billions data point set for MySQL.
Willem Demmers
Aug 4, 2020Cube seems like one of the most well-designed and thought out software that I’ve seen whilst researching data pipelining. It feels very modern in a good way.👍 1
Jc
Aug 3, 2020It's effectively a "headless" technology in that sense, and it has a lot of flexibility for varying use cases. For example, you can even use it against a real-time database (pre data lake). It almost doesn't matter what you're querying, it's the two-tier caching strategy on top of a well-defined measure/dimension vocabulary that you get so easily that makes it attractive.Sign up for Cube.js Releases and Updates
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