GoodData vs Mode

Overview

GoodData

Stacks28

Followers44

Votes0

Mode

Stacks125

Followers227

Votes17

GoodData vs Mode: What are the differences?

Developers describe GoodData as "We help businesses monetize big data". 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. On the other hand, Mode is detailed as "SQL-based analytics tool that helps analysts query, visualize, and share data". 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.

GoodData and Mode can be primarily classified as "Business Intelligence" tools.

Some of the features offered by GoodData are:

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.

On the other hand, Mode provides the following key features:

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.

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Advice on GoodData, Mode

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!

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Comments

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.

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Detailed Comparison

GoodData	Mode
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.	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.
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.	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
Stacks 28	Stacks 125
Followers 44	Followers 227
Votes 0	Votes 17
Pros & Cons
No community feedback yet	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
Integrations
No integrations available	Apache Hive Microsoft Azure Google BigQuery Apache Impala Amazon Redshift PostgreSQL Segment MySQL Microsoft SQL Server

What are some alternatives to GoodData, Mode?

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.

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

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

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.