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  5. Cube.js vs Power BI Embedded

Cube.js vs Power BI Embedded

OverviewComparisonAlternatives

Overview

Power BI Embedded
Power BI Embedded
Stacks65
Followers147
Votes0
Cube
Cube
Stacks96
Followers258
Votes30

Cube.js vs Power BI Embedded: What are the differences?

Key Differences between Cube.js and Power BI Embedded

Cube.js is an open-source analytics framework while Power BI Embedded is a cloud-based business intelligence service offered by Microsoft. Both tools have their own set of features and functionalities, but there are several key differences between them.

  1. Deployment Mode: Cube.js can be self-hosted and allows businesses to have complete control over their data and infrastructure. On the other hand, Power BI Embedded is a cloud-based service that requires users to rely on Microsoft's infrastructure for data storage and processing.

  2. Data Source Connectivity: Cube.js supports a wide range of data sources including relational databases, data warehouses, and third-party services like Mixpanel and Google Analytics. Power BI Embedded, on the other hand, mainly focuses on connecting to structured data sources such as SQL databases, Azure Analysis Services, and Excel files.

  3. Customization and Embedding: Cube.js provides a highly customizable solution that allows users to create their own analytics applications with a flexible and scalable architecture. It offers APIs that enable embedding analytics into existing applications or building entirely new ones. Power BI Embedded also supports embedding dashboards and reports, but it has more limitations in terms of customization compared to Cube.js.

  4. Pricing: Cube.js is an open-source framework and is free to use, although users may need to pay for hosting and infrastructure costs if they decide to self-host. Power BI Embedded, on the other hand, offers different pricing tiers based on usage and features, making it suitable for businesses of different sizes and needs.

  5. Data Modeling and Transformation: Cube.js provides a layer of abstraction that allows users to define complex data models and perform transformations on the data before querying and visualizing it. Power BI Embedded also offers data modeling capabilities, but it is primarily focused on providing pre-built visualizations and reports with limited data transformation options.

  6. Development Flexibility: Cube.js allows developers to write custom code in JavaScript or TypeScript to define data models, customize queries, and extend the functionality of the framework. Power BI Embedded, on the other hand, mainly relies on a graphical interface and pre-built components for creating visualizations and reports, limiting the development flexibility compared to Cube.js.

In Summary, Cube.js offers self-hosting, flexible data source connectivity, customization, and embedding options with no licensing costs, making it a suitable choice for businesses looking for control and flexibility in their analytics solutions. Power BI Embedded, on the other hand, provides a cloud-based service with a focus on pre-built visualizations, limited customization options, and pricing flexibility based on usage and features.

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Detailed Comparison

Power BI Embedded
Power BI Embedded
Cube
Cube

Quickly and easily provide customer-facing reports, dashboards, and analytics in your own applications by using and branding it as your own. Reduce developer resources by automating the monitoring, management, and deployment of analytics, while getting full control of Power BI features and intelligent analytics.

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

API;SDK;Reports;Dashboards
* Pre-aggregation; * Caching; * Data modeling; * APIs; * Works with any relational database;
Statistics
Stacks
65
Stacks
96
Followers
147
Followers
258
Votes
0
Votes
30
Pros & Cons
No community feedback yet
Pros
  • 8
    API
  • 6
    Open Source
  • 6
    Caching
  • 6
    Visualization agnostic
  • 4
    Rollups orchestration
Cons
  • 1
    No ability to update "cubes" in runtime
  • 1
    Poor performance
  • 1
    Doesn't support filtering on left joins
  • 1
    Incomplete documentation
  • 1
    Cannot use as a lib - only HTTP
Integrations
JavaScript
JavaScript
Microsoft SharePoint
Microsoft SharePoint
Amazon Redshift
Amazon Redshift
Google BigQuery
Google BigQuery
Microsoft SQL Server
Microsoft SQL Server
Snowflake
Snowflake
Presto
Presto
MySQL
MySQL
PostgreSQL
PostgreSQL
Microsoft Azure
Microsoft Azure
Oracle
Oracle
Amazon Athena
Amazon Athena

What are some alternatives to Power BI Embedded, Cube?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Periscope

Periscope

Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

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