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  5. Cube.js vs Mode

Cube.js vs Mode

OverviewDecisionsComparisonAlternatives

Overview

Mode
Mode
Stacks125
Followers227
Votes17
Cube
Cube
Stacks96
Followers258
Votes30

Cube.js vs Mode: What are the differences?

Introduction

This Markdown code provides a comparison between Cube.js and Mode, highlighting their key differences. Cube.js and Mode are both data analytics tools used for querying and visualizing data. However, they differ in various aspects.

  1. Architecture and Data Pipeline: Cube.js follows a distributed, scalable architecture that can handle large datasets and complex queries. It combines a pre-aggregation and caching layer with a query orchestration layer to provide fast responses to user queries. On the other hand, Mode is a powerful SQL editor and reporting tool that connects directly to a database. It doesn't have a built-in caching layer or pre-aggregations.

  2. Querying Language: Cube.js uses its own Query Language (Cube.js Query Language) to define data models and perform queries. This language is designed specifically for analytical queries and provides advanced features like time dimensions, filters, and aggregations. Mode, on the other hand, uses standard SQL for querying and does not have the advanced features provided by Cube.js Query Language.

  3. Embedded Analytics: Cube.js is built with embedded analytics in mind and can be easily integrated into existing applications or used to build custom reporting interfaces. It provides a set of APIs and SDKs for embedding analytics dashboards and visualizations. Mode, on the other hand, is primarily focused on providing a stand-alone reporting and analytics platform and does not provide specific features for embedding analytics.

  4. Open Source vs Managed Service: Cube.js is an open-source platform that can be self-hosted and customized according to specific requirements. It offers flexibility and control over the analytics infrastructure. On the other hand, Mode is a managed service provided by Mode Analytics. While it offers convenience and ease of use, it has certain limitations in terms of customization and control.

  5. Community and Ecosystem: Cube.js has an active and growing community of contributors and users. It benefits from the open-source community's feedback and support, leading to a vibrant ecosystem. Mode, on the other hand, has a smaller community compared to Cube.js. However, being a managed service, it provides dedicated support and has its own ecosystem of resources and templates.

  6. Pricing Model: Cube.js follows a self-hosted open-source model, and there are no licensing fees associated with using Cube.js. However, there may be costs involved in hosting and managing the infrastructure. Mode, being a managed service, follows a subscription-based pricing model that includes hosting, maintenance, support, and access to platform features.

In summary, Cube.js and Mode differ in their architecture, querying language, focus on embedded analytics, deployment options, community support, and pricing model. Cube.js emphasizes scalability, advanced querying features, and customizable deployment, while Mode focuses on SQL-based querying, stand-alone reporting, and ease of use as a managed service.

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Advice on Mode, Cube

Wei
Wei

CTO at Flux Work

Jan 8, 2020

Decided

Very easy-to-use UI. Good way to make data available inside the company for analysis.

Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.

Can be embedded into product to provide reporting functions.

Support team are helpful.

The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.

230k views230k
Comments

Detailed Comparison

Mode
Mode
Cube
Cube

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.

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

Write, save, and share SQL queries with other analysts in your company; Empower non-technical folks to update queries on their own; Run queries on a schedule, create lists of related reports, and explore a project's history as it changes over time; Build reports using standard charting or create completely customer, interactive visuals with HTML, CSS, and Javascript;Database connectors for MySQL, Postgres, Redshift, Vertica, Hive, Heroku, Segment, BigQuery, Impala; Mode also offers SQL School (sqlschool.modeanalytics.com), a free, interactive SQL tutorial and the Mode Playbook.
* Pre-aggregation; * Caching; * Data modeling; * APIs; * Works with any relational database;
Statistics
Stacks
125
Stacks
96
Followers
227
Followers
258
Votes
17
Votes
30
Pros & Cons
Pros
  • 4
    Empowering for SQL-first analysts
  • 3
    Collaborative query building
  • 3
    Easy report building
  • 2
    Awesome online and chat support
  • 2
    In-app customer chat support
Pros
  • 8
    API
  • 6
    Open Source
  • 6
    Caching
  • 6
    Visualization agnostic
  • 4
    Rollups orchestration
Cons
  • 1
    Poor performance
  • 1
    Doesn't support filtering on left joins
  • 1
    Incomplete documentation
  • 1
    Cannot use as a lib - only HTTP
  • 1
    No ability to update "cubes" in runtime
Integrations
Apache Hive
Apache Hive
Microsoft Azure
Microsoft Azure
Google BigQuery
Google BigQuery
Apache Impala
Apache Impala
Amazon Redshift
Amazon Redshift
PostgreSQL
PostgreSQL
Segment
Segment
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
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 Mode, 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.

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.

Looker

Looker

We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.

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