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  5. Blazer vs Redash

Blazer vs Redash

OverviewComparisonAlternatives

Overview

Blazer
Blazer
Stacks23
Followers24
Votes0
GitHub Stars4.7K
Forks486
Redash
Redash
Stacks338
Followers502
Votes12

Blazer vs Redash: What are the differences?

Blazer: Share data effortlessly with your team. Works with PostgreSQL and MySQL. Share data effortlessly with your team; 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.

Blazer and Redash can be primarily classified 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, Redash provides the following key features:

  • Query Editor
  • Dashboards/Visualizations
  • Alerts

Blazer and Redash are both open source tools. It seems that Redash with 13.1K GitHub stars and 2.17K forks on GitHub has more adoption than Blazer with 2.19K GitHub stars and 279 GitHub forks.

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Detailed Comparison

Blazer
Blazer
Redash
Redash

Share data effortlessly with your team

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.

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;Smart Columns - get the data you want without all the joins;Smart Variables - no need to remember ids;Charts - visualize the data;Audits - all queries are tracked
Query Editor;Dashboards/Visualizations;Alerts;API;Support for querying multiple databases
Statistics
GitHub Stars
4.7K
GitHub Stars
-
GitHub Forks
486
GitHub Forks
-
Stacks
23
Stacks
338
Followers
24
Followers
502
Votes
0
Votes
12
Pros & Cons
No community feedback yet
Pros
  • 9
    Open Source
  • 3
    SQL Friendly
Cons
  • 1
    All results are loaded into RAM before displaying
  • 1
    Memory Leaks
Integrations
PostgreSQL
PostgreSQL
MySQL
MySQL
PostgreSQL
PostgreSQL
Cassandra
Cassandra
MongoDB
MongoDB
Amazon DynamoDB
Amazon DynamoDB
Amazon RDS
Amazon RDS
Amazon Athena
Amazon Athena
Jira
Jira
PagerDuty
PagerDuty
Prometheus
Prometheus
Slack
Slack

What are some alternatives to Blazer, Redash?

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.

Mode

Mode

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.

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.

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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