Flask JSONDash vs Redash

Overview

Redash

Stacks338

Followers502

Votes12

Flask JSONDash

Stacks16

Followers48

Votes3

GitHub Stars3.3K

Forks300

Flask JSONDash vs Redash: What are the differences?

Ease of Use: Flask JSONDash is a simpler and lightweight dashboard framework compared to Redash, making it easier to set up and use for basic visualization needs without the complexity of a full-fledged business intelligence tool.
Customization Options: Redash offers more extensive customization options, including the ability to create custom visualizations, connect to a wider range of data sources, and customize the dashboard layout to a greater degree than Flask JSONDash.
User Access Control: Redash provides more advanced user access control features, allowing for fine-grained control over who can view and edit dashboards, whereas Flask JSONDash may have more limited options in this area.
Integration Capabilities: Redash offers better integration capabilities with other tools and services, allowing for seamless data connection and visualization with various data sources, APIs, and third-party services compared to Flask JSONDash.
Community Support: Redash has a larger and more active community of users and contributors, providing a wealth of resources, plugins, and support options compared to Flask JSONDash, which may have a smaller and less active community.
Scalability: Redash is designed for more scalability and handling larger datasets and complex query loads compared to Flask JSONDash, which may struggle to perform efficiently with extremely large datasets or high query volumes.

In Summary, Flask JSONDash and Redash differ in terms of ease of use, customization options, user access control, integration capabilities, community support, and scalability.

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CLI (Node.js)

Manual

Detailed Comparison

Redash	Flask JSONDash
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.	Easily configurable, chart dashboards from any arbitrary API endpoint. JSON config only. Ready to go.
Query Editor;Dashboards/Visualizations;Alerts;API;Support for querying multiple databases	-
Statistics
GitHub Stars -	GitHub Stars 3.3K
GitHub Forks -	GitHub Forks 300
Stacks 338	Stacks 16
Followers 502	Followers 48
Votes 12	Votes 3
Pros & Cons
Pros 9 Open Source 3 SQL Friendly Cons 1 Memory Leaks 1 All results are loaded into RAM before displaying	Pros 2 Very flexible for ad-hoc sources 1 Simple 0 Righteous Dudes
Integrations
PostgreSQL Cassandra MongoDB Amazon DynamoDB Amazon RDS Amazon Athena Jira PagerDuty Prometheus Slack	No integrations available

What are some alternatives to Redash, Flask JSONDash?

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.

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

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.

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 is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

Related Comparisons

Flask JSONDash vs Redash: What are the differences?

Ease of Use: Flask JSONDash is a simpler and lightweight dashboard framework compared to Redash, making it easier to set up and use for basic visualization needs without the complexity of a full-fledged business intelligence tool.
Customization Options: Redash offers more extensive customization options, including the ability to create custom visualizations, connect to a wider range of data sources, and customize the dashboard layout to a greater degree than Flask JSONDash.
User Access Control: Redash provides more advanced user access control features, allowing for fine-grained control over who can view and edit dashboards, whereas Flask JSONDash may have more limited options in this area.
Integration Capabilities: Redash offers better integration capabilities with other tools and services, allowing for seamless data connection and visualization with various data sources, APIs, and third-party services compared to Flask JSONDash.
Community Support: Redash has a larger and more active community of users and contributors, providing a wealth of resources, plugins, and support options compared to Flask JSONDash, which may have a smaller and less active community.
Scalability: Redash is designed for more scalability and handling larger datasets and complex query loads compared to Flask JSONDash, which may struggle to perform efficiently with extremely large datasets or high query volumes.

In Summary, Flask JSONDash and Redash differ in terms of ease of use, customization options, user access control, integration capabilities, community support, and scalability.

Flask JSONDash vs Redash

Overview