Cube.js vs GoodData

Overview

GoodData

Stacks28

Followers44

Votes0

Cube

Stacks96

Followers258

Votes30

Cube.js vs GoodData: What are the differences?

Introduction:

In this article, we will compare and provide key differences between Cube.js and GoodData. Cube.js and GoodData are both powerful tools for building analytical applications and visualizing data. However, they have important distinctions that make them suitable for different use cases.

Open Source vs. Proprietary Software: The first key difference between Cube.js and GoodData lies in their licensing models. Cube.js is an open-source framework that allows developers to create their own analytics solutions and easily customize them as per their needs. On the other hand, GoodData is a proprietary software that provides a comprehensive analytics platform with ready-to-use features and capabilities.
Flexibility vs. Out-of-the-box Functionality: Cube.js offers developers a high level of flexibility and customization options. It provides a building block approach that allows developers to choose the components they need, integrate with their existing tech stack, and build scalable and efficient analytics applications. GoodData, on the other hand, offers a ready-to-use analytics platform with a wide range of out-of-the-box features, including data modeling, visualization, and collaboration tools, which can be beneficial for organizations that require quick implementation without extensive customization.
Data Warehouse Agnostic vs. Built-in Data Warehousing: Cube.js is designed to be data warehouse agnostic, meaning it can work with various data storage solutions such as SQL databases, NoSQL databases, or cloud data warehouses. It provides a unified API layer that abstracts different data sources and allows developers to access and query data from multiple warehouses. In contrast, GoodData comes with its own built-in data warehousing capabilities, which means that it has its own data storage and processing infrastructure. This can be advantageous for organizations that prefer a fully managed solution without the need for separate data warehousing.
Self-Service vs. Enterprise-Grade Analytics: Cube.js is focused on enabling self-service analytics for developers by providing the necessary tools and infrastructure to build their own analytical applications. It empowers developers to create custom UIs, embed analytics into existing applications, and enable self-service data exploration for end-users. GoodData, on the other hand, is designed as an enterprise-grade analytics platform that caters to the needs of large organizations. It offers advanced features like governance, security, scalability, and collaboration tools that are essential for managing analytics at an enterprise level.
Real-time Analytics vs. Historical Data Analysis: Cube.js is well-suited for real-time analytics scenarios where low-latency data processing and querying are crucial. It enables developers to build real-time dashboards, streaming analytics, and applications that require up-to-the-minute insights. GoodData, on the other hand, focuses more on historical data analysis, providing features for analyzing large datasets, generating complex reports, and performing historical trend analysis.
Developer-Centric vs. Business User-Friendly: Cube.js primarily targets developers and provides a developer-centric experience. It offers a comprehensive set of APIs, SDKs, and documentation that developers can leverage to implement analytics features in their applications. GoodData, on the other hand, aims to provide a user-friendly experience for business users and non-technical stakeholders. It emphasizes intuitive UI, drag-and-drop report builders, and self-service capabilities to enable business users to explore data and generate insights without relying heavily on developers.

In summary, Cube.js and GoodData are two distinct tools with varying strengths. Cube.js offers flexibility, customization options, and real-time analytics capabilities, making it ideal for developers who want to build their own analytics applications. GoodData, on the other hand, focuses on providing an enterprise-grade analytics platform with comprehensive out-of-the-box functionality, historical data analysis capabilities, and user-friendly tools for business users.

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CLI (Node.js)

Manual

Detailed Comparison

GoodData	Cube
Get a closer look at all your business data at the same time so you can gain actionable insight into sales, marketing, customer engagement and more.	Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.
Track all of your important business data in one place at the same time. Graphs and charts analyze changes in revenue, performance, website traffic, customer activity and more, and match these against your business goals.;Automatically segment your audiences, products, customer feedback and other important categories related to your business.;Set indicators to monitor the status of your business goals throughout the quarter. Goal indicators alert you when you’re on target, off pace and when something needs more attention to keep you on track, minimizing potential risks and surprises.;Easily understand correlations between key business metrics: Does more effort and cost drive higher value deals? Which marketing lead sources have the highest ROI and conversion?;Measure activity at every stage of the sales funnel to identify which actions were taken, when they were taken and how many people took those actions. Compare these changes against previous weeks and set goals to evaluate the effectiveness of your campaign over a specific period of time.;Display multiple sets of related data for easy comparison. Using this information, you can identify differentiators and opportunities, and eliminate variables in your decision-making process.	* Pre-aggregation; * Caching; * Data modeling; * APIs; * Works with any relational database;
Statistics
Stacks 28	Stacks 96
Followers 44	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
No integrations available	Amazon Redshift Google BigQuery Microsoft SQL Server Snowflake Presto MySQL PostgreSQL Microsoft Azure Oracle Amazon Athena

What are some alternatives to GoodData, Cube?

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'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

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

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

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

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 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

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

Related Comparisons

Cube.js vs GoodData: What are the differences?

Introduction:

Open Source vs. Proprietary Software: The first key difference between Cube.js and GoodData lies in their licensing models. Cube.js is an open-source framework that allows developers to create their own analytics solutions and easily customize them as per their needs. On the other hand, GoodData is a proprietary software that provides a comprehensive analytics platform with ready-to-use features and capabilities.
Flexibility vs. Out-of-the-box Functionality: Cube.js offers developers a high level of flexibility and customization options. It provides a building block approach that allows developers to choose the components they need, integrate with their existing tech stack, and build scalable and efficient analytics applications. GoodData, on the other hand, offers a ready-to-use analytics platform with a wide range of out-of-the-box features, including data modeling, visualization, and collaboration tools, which can be beneficial for organizations that require quick implementation without extensive customization.
Data Warehouse Agnostic vs. Built-in Data Warehousing: Cube.js is designed to be data warehouse agnostic, meaning it can work with various data storage solutions such as SQL databases, NoSQL databases, or cloud data warehouses. It provides a unified API layer that abstracts different data sources and allows developers to access and query data from multiple warehouses. In contrast, GoodData comes with its own built-in data warehousing capabilities, which means that it has its own data storage and processing infrastructure. This can be advantageous for organizations that prefer a fully managed solution without the need for separate data warehousing.
Self-Service vs. Enterprise-Grade Analytics: Cube.js is focused on enabling self-service analytics for developers by providing the necessary tools and infrastructure to build their own analytical applications. It empowers developers to create custom UIs, embed analytics into existing applications, and enable self-service data exploration for end-users. GoodData, on the other hand, is designed as an enterprise-grade analytics platform that caters to the needs of large organizations. It offers advanced features like governance, security, scalability, and collaboration tools that are essential for managing analytics at an enterprise level.
Real-time Analytics vs. Historical Data Analysis: Cube.js is well-suited for real-time analytics scenarios where low-latency data processing and querying are crucial. It enables developers to build real-time dashboards, streaming analytics, and applications that require up-to-the-minute insights. GoodData, on the other hand, focuses more on historical data analysis, providing features for analyzing large datasets, generating complex reports, and performing historical trend analysis.
Developer-Centric vs. Business User-Friendly: Cube.js primarily targets developers and provides a developer-centric experience. It offers a comprehensive set of APIs, SDKs, and documentation that developers can leverage to implement analytics features in their applications. GoodData, on the other hand, aims to provide a user-friendly experience for business users and non-technical stakeholders. It emphasizes intuitive UI, drag-and-drop report builders, and self-service capabilities to enable business users to explore data and generate insights without relying heavily on developers.

Cube.js vs GoodData

Overview