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Mode vs Redash: What are the differences?
What is Mode? 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.
What is Redash? Easily query an existing database, share the dataset and visualize it in different ways. 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.
Mode and Redash can be categorized as "Business Intelligence" tools.
Some of the features offered by Mode are:
- 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.
On the other hand, Redash provides the following key features:
- Query Editor
- Dashboards/Visualizations
- Alerts
Redash is an open source tool with 13.1K GitHub stars and 2.17K GitHub forks. Here's a link to Redash's open source repository on GitHub.
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.
Pros of Mode
- Empowering for SQL-first analysts4
- Easy report building3
- Collaborative query building3
- In-app customer chat support2
- Awesome online and chat support2
- Integrated IDE with SQL + Python for analysis2
- Auto SQL query to Python dataframe1
Pros of Redash
- Open Source8
- SQL Friendly3
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Cons of Mode
Cons of Redash
- All results are loaded into RAM before displaying1
- Memory Leaks1