Need advice about which tool to choose?Ask the StackShare community!
Blazer vs Mode: What are the differences?
What is Blazer? Share data effortlessly with your team. Works with PostgreSQL and MySQL. Share data effortlessly with your team.
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.
Blazer and Mode can be categorized as "Business Intelligence" tools.
Some of the features offered by Blazer are:
- Secure - works with your authentication system
- Variables - run the same queries with different values
- Linked Columns - link to other pages in your apps or around the web
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.
Blazer is an open source tool with 2.19K GitHub stars and 279 GitHub forks. Here's a link to Blazer'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 Blazer
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