Building dashboards over a semantic layer with Superset and Cube

This page summarizes the projects mentioned and recommended in the original post on dev.to

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Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • cube.js

    📊 Cube — The Semantic Layer for Building Data Applications

  • // Cube.js configuration options: https://cube.dev/docs/config const PostgresDriver = require('@cubejs-backend/postgres-driver'); const BigQueryDriver = require('@cubejs-backend/bigquery-driver'); module.exports = { contextToAppId: ({ dataSource }) => dataSource, dbType: ({ dataSource }) => { return dataSource === 'bigquery' ? 'bigquery' : 'postgres'; }, driverFactory: ({ dataSource }) => { return dataSource === 'bigquery' ? new BigQueryDriver() : new PostgresDriver(); } };

  • superset

    Apache Superset is a Data Visualization and Data Exploration Platform

  • Within minutes, you can find conversations on Superset’s Slack or GitHub revolving around identifying broken dashboards and finding ways to reduce the impact on users:

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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