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  5. Metabase vs Mode

Metabase vs Mode

OverviewDecisionsComparisonAlternatives

Overview

Mode
Mode
Stacks125
Followers227
Votes17
Metabase
Metabase
Stacks928
Followers1.2K
Votes271
GitHub Stars44.4K
Forks6.0K

Metabase vs Mode: What are the differences?

Introduction:

Metabase and Mode are both popular business intelligence tools that allow users to analyze and visualize data. While they have some similarities, there are key differences that set them apart. In this article, we will explore the main differences between Metabase and Mode.

  1. Pricing Model: One of the primary differences between Metabase and Mode is their pricing model. Metabase is an open-source tool and is available for free to use. On the other hand, Mode offers a paid subscription model with various pricing tiers based on the number of users and features required. This difference in pricing models allows organizations to choose the option that best fits their budget and needs.

  2. Ease of Use: Another significant difference between Metabase and Mode is the ease of use. Metabase focuses on simplicity and provides a user-friendly interface that non-technical users can easily navigate. It offers a visual query builder and pre-built templates, making it easy for novice users to create reports and dashboards. In contrast, Mode is more advanced and geared towards data analysts and SQL-savvy users. It provides a coding environment and allows users to write custom SQL queries and complex analysis.

  3. Collaboration Features: Metabase and Mode have different collaboration features. Metabase allows users to share dashboards and reports with others by generating a public link. However, it lacks some advanced collaboration features like real-time collaboration, user comments, and threaded discussions. Mode, on the other hand, provides robust collaboration capabilities with features like real-time collaboration, sharing & embedding, and commenting, making it suitable for teams working together on data analysis projects.

  4. Data Source Connectivity: Both Metabase and Mode support connecting to a wide range of data sources. However, there are differences in the level of connectivity options they offer. Metabase supports a limited number of data sources out of the box, though more can be added through custom drivers. Mode, on the other hand, offers a broader range of integrations and connectors to popular data sources like databases, cloud storage platforms, and third-party tools. This difference in data source connectivity makes Mode a more suitable choice for organizations with diverse data sources.

  5. Dashboarding and Visualization: Metabase and Mode differ in their approach to dashboarding and visualization. Metabase provides a simple yet effective visualization experience with basic chart types like bar graphs, line charts, and pie charts. It offers limited customization options for visuals. Mode, in contrast, offers more advanced visualization capabilities with a wide range of chart types, interactive dashboards, and rich customization options. This makes Mode a better choice for users who require more sophisticated data visualizations.

  6. Advanced Analysis and Modeling: Metabase is primarily focused on providing easy-to-use tools for data exploration and reporting. While it offers basic filtering and aggregation capabilities, it lacks advanced analysis and modeling features like predictive analytics and machine learning. Mode, on the other hand, offers more advanced analysis and modeling capabilities. It allows users to perform complex statistical analysis, build predictive models, and leverage machine learning algorithms. This difference makes Mode more suitable for organizations that require advanced analytical capabilities.

In summary, Metabase and Mode differ in their pricing model, ease of use, collaboration features, data source connectivity, dashboarding and visualization capabilities, and advanced analysis and modeling capabilities. Organizations should consider their specific requirements and the strengths of each tool to choose the one that best fits their needs.

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Advice on Mode, Metabase

icanautomate
icanautomate

Apr 13, 2021

Review

Hey Alfaz, the tools you mentioned are not exactly BI tools and are essentially ELT tools meant to collect data from third-party data sources (tools used for sales, marketing, advertising, etc) and ingest the data into a data warehouse (Snowflake, Redshift, BigQuery, etc). You can check out the linked article to learn more.

I have also recommended some BI tools like Mode, Looker, and SiSense. Happy to answer follow-up questions!

26 views26
Comments
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
Metabase
Metabase

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.

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.

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.
-
Statistics
GitHub Stars
-
GitHub Stars
44.4K
GitHub Forks
-
GitHub Forks
6.0K
Stacks
125
Stacks
928
Followers
227
Followers
1.2K
Votes
17
Votes
271
Pros & Cons
Pros
  • 4
    Empowering for SQL-first analysts
  • 3
    Easy report building
  • 3
    Collaborative query building
  • 2
    Integrated IDE with SQL + Python for analysis
  • 2
    In-app customer chat support
Pros
  • 62
    Database visualisation
  • 45
    Open Source
  • 41
    Easy setup
  • 36
    Dashboard out of the box
  • 23
    Free
Cons
  • 7
    Harder to setup than similar tools
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
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Amazon Redshift
Amazon Redshift
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server

What are some alternatives to Mode, Metabase?

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.

Cube

Cube

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

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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