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Presto Data AnalyticsBuild your analytical application in three simple steps with Cube.js
Follow these steps to build yourStep 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 guidesSTEP 1
Presto Data Analytics
Install Cube.js as an analytical API for PrestoUse 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 presto-data-analytics -d prestodbCopyand follow our Getting StartedGetting Started guide.STEP 2
Bootstrap a front-end application with React or other frameworkUse Cube.js Playground to bootstrap a front-end applicationCube.js Playground is used to explore your data and test different chart types
Install Cube.js as an analytical API$ cd presto-data-analytics && npm run devCopyOpen http://localhost:4000/http://localhost:4000/ in your browserSTEP 3
Explore data and build an applicationExplore our Presto guides and create your applicationShare your experience with Cube.js communityExamples GalleryExamples GalleryComparing Data over Different Time PeriodsComparing Data over Different Time Periods
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What they’re saying
Hansjoerg PoschJul 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 FischerMar 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 TiunovJun 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 DemmersAug 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
JcAug 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.
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