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  5. Data Studio vs Mode

Data Studio vs Mode

OverviewDecisionsComparisonAlternatives

Overview

Mode
Mode
Stacks125
Followers227
Votes17
Data Studio
Data Studio
Stacks365
Followers304
Votes0

Data Studio vs Mode: What are the differences?

Introduction

Here we will discuss the key differences between Data Studio and Mode.

  1. Visualization and Analysis Capabilities: One key difference between Data Studio and Mode is their primary focus. Data Studio is primarily a data visualization tool, allowing users to create interactive reports and dashboards using various types of charts and graphs. On the other hand, Mode is more focused on data analysis and exploration, providing a collaborative environment for SQL query writing, data exploration, and sharing of analytical insights.

  2. Data Source Connections: Another significant difference is in the data source connections offered by both platforms. Data Studio is designed to seamlessly integrate with other Google products, such as Google Sheets, Google Analytics, and Google BigQuery. It also supports a wide range of third-party data connectors. In contrast, Mode provides connectors for various databases like PostgreSQL, MySQL, and Redshift, making it suitable for users who primarily work with SQL-based data sources.

  3. Collaboration and Sharing Features: Collaboration and sharing capabilities vary in both Data Studio and Mode. Data Studio offers robust collaboration features, allowing multiple users to collaborate on the same report or dashboard simultaneously. It also provides effortless sharing options, including embedding reports on websites or sharing them via a link. On the other hand, Mode focuses more on user-level access control, providing fine-grained permissions for sharing analysis and maintaining version control through SQL notebooks.

  4. Customization and Extensibility: When it comes to customization and extensibility, Data Studio offers a wide range of pre-built templates and integrations with Google's ecosystem. It allows users to customize the appearance, style, and layout of reports and dashboards using various themes and design options. In contrast, Mode provides more flexibility in terms of custom SQL analysis and querying capabilities, allowing users to write complex queries, use Python or R for analysis, and even create custom visualizations using libraries like Plotly or D3.js.

  5. Pricing and Licensing: Data Studio and Mode also differ in their pricing models. Data Studio is free to use and comes with generous data limits for both personal and commercial use. It is a cloud-based service, and there are no additional costs for hosting or infrastructure. On the other hand, Mode offers both free and paid plans, with paid plans offering additional features like database connections, advanced scheduling, and support for larger teams. The pricing for Mode is based on the number of users and the desired features.

  6. Advanced Analytical Features: Lastly, Data Studio and Mode differ in their advanced analytical capabilities. Data Studio focuses more on providing visualization and reporting capabilities, allowing users to create interactive metrics, explore data using filters and segments, and create calculated fields. On the other hand, Mode offers more advanced analytical features like advanced statistical analysis, data modeling, and predictive analytics through its Python and R integration. Mode also allows users to create reusable SQL snippets and functions, enhancing productivity and analysis efficiency.

In Summary, Data Studio emphasizes data visualization and integrations with Google products, while Mode focuses on SQL-based data analysis and collaboration, with advanced analytical features and flexible customization options.

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Advice on Mode, Data Studio

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
Data Studio
Data Studio

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.

Unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions. It’s easy and free.

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.
Easily access a wide variety of data. Data Studio’s built-in and partner connectors makes it possible to connect to virtually any kind of data; Turn your data into compelling stories of data visualization art. Quickly build interactive reports and dashboards with Data Studio’s web based reporting tools; Share your reports and dashboards with individuals, teams, or the world. Collaborate in real time. Embed your report on any web page
Statistics
Stacks
125
Stacks
365
Followers
227
Followers
304
Votes
17
Votes
0
Pros & Cons
Pros
  • 4
    Empowering for SQL-first analysts
  • 3
    Collaborative query building
  • 3
    Easy report building
  • 2
    Integrated IDE with SQL + Python for analysis
  • 2
    In-app customer chat support
No community feedback yet
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
Google Analytics
Google Analytics
Google Cloud Storage
Google Cloud Storage
Google BigQuery
Google BigQuery
Google Search Console
Google Search Console
Google Ads
Google Ads
AdRoll
AdRoll
Google Sheets
Google Sheets
Google Campaign Manager
Google Campaign Manager

What are some alternatives to Mode, Data Studio?

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.

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.

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