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How to Connect, Query, and Share Your Data with Redash

How to Download Redash: A Guide for Data Lovers

If you are looking for a tool that can help you make sense of your data, connect to any data source, easily visualize and share your data, then you should consider Redash. Redash is a web-based data visualization and exploration platform that allows anyone, regardless of their level of technical sophistication, to harness the power of data. In this article, we will show you how to download Redash and use it to create stunning dashboards and reports.

download redash

What is Redash and why you should use it

Redash is a web-based data visualization and exploration platform

Redash is an open source project that was created by Arik Fraimovich in 2014. It was initially developed as an internal tool for his company, but soon gained popularity among other data enthusiasts. Today, Redash has over 23,000 stars on GitHub and is used by thousands of companies around the world, such as Mozilla, Atlassian, Cloudflare, Databricks, and more.

Redash helps you make sense of your data by providing tools to democratize data access. You can connect and query your data sources, build dashboards to visualize data, and share them with your team or the public. You can also collaborate with other users on queries, visualizations, and dashboards, and get feedback from them.

Redash supports multiple data sources and integrations

One of the main advantages of Redash is that it supports a wide range of data sources, including SQL databases, NoSQL databases, Big Data platforms, cloud services, and APIs. You can query your data from different sources using SQL or other query languages, such as MongoDB or Elasticsearch. You can also integrate your data sources with other tools, such as Slack, Google Sheets, Zapier, or email.

Some of the data sources that Redash supports are:

  • PostgreSQL

  • MySQL

  • Redshift

  • BigQuery

  • MongoDB

  • Elasticsearch

  • Cassandra

  • Snowflake

  • Athena

  • Presto

  • Jira

  • Google Analytics

  • Facebook Ads

  • Stripe


  • And many more...

Redash offers a user-friendly interface and powerful features

Redash has a simple and intuitive user interface that makes it easy to create queries, visualizations, and dashboards without requiring advanced technical skills. You can use the query editor to write queries with schema browser and auto-complete features. You can also create snippets and reuse them in other queries. You can use the visualization editor to create charts, tables, maps, pivot tables, funnels, cohorts, sankey diagrams, and more. You can also customize the appearance and layout of your visualizations using various options and settings. You can use the dashboard editor to create dashboards that display multiple visualizations in a single page. You can also arrange, resize, and filter your dashboard widgets according to your needs.

How to install Redash on your own server

Prerequisites for installing Redash

If you want to install Redash on your own server, you will need the following prerequisites:

  • A Linux server with at least 2 GB of RAM and 10 GB of disk space

  • Docker and Docker Compose installed on your server

  • A domain name or a public IP address for your server

  • A valid SSL certificate for your domain name or a self-signed certificate for testing purposes

Steps to install Redash using Docker and Docker Compose

Once you have the prerequisites ready, you can follow these steps to install Redash using Docker and Docker Compose:

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Clone the Redash repository from GitHub to your server using the following command: git clone

  • Change the directory to the cloned repository using the following command: cd redash

  • Create a file named .env in the same directory using the following command: cp env.example .env

  • Edit the .env file using your preferred text editor and set the following variables: REDASH_COOKIE_SECRET: A random string that is used to secure cookies. You can generate one using this tool. REDASH_SECRET_KEY: A random string that is used to secure sessions. You can generate one using this tool. REDASH_HOST: The domain name or the public IP address of your server. REDASH_MAIL_SERVER: The SMTP server that is used to send emails from Redash. REDASH_MAIL_PORT: The SMTP port that is used to send emails from Redash. REDASH_MAIL_USE_TLS: Whether to use TLS encryption for SMTP or not. Set it to true or false. REDASH_MAIL_USERNAME: The username for the SMTP server. REDASH_MAIL_PASSWORD: The password for the SMTP server. REDASH_MAIL_DEFAULT_SENDER: The email address that is used as the sender for emails from Redash.

Create a file named docker-compose.override.yml in the same directory and add the following content: version: '2' services: server: environment: REDASH_WEB_WORKERS: 4 ports: - "80:5000" - "443:5000" volumes: - /path/to/your/certificate/file:/certs/server.crt:ro - /path/to/your/key/file:/certs/server.key:ro nginx: ports: - "80:80" - "443:443" links: - server:redash volumes: - /path/to/your/certificate/file:/etc/nginx/certs/server.crt:ro - /path/to/your/key/file:/etc/nginx/certs/server.key:ro volumes_from: - server command: /bin/sh -c 'sed -i "s/REDASH_HOST/$REDASH_HOST/g" /etc/nginx/conf.d/default.conf && nginx -g "daemon off;"'

  • Replace /path/to/your/certificate/file and /path/to/your/key/file with the actual paths to your SSL certificate and key files. This will enable HTTPS access to your Redash server.

  • Run the following command to start Redash using Docker Compose: docker-compose up -d

  • Wait for a few minutes until all the containers are up and running. You can check their status using the following command: docker-compose ps

  • You can now access your Redash dashboard by visiting You will see a setup page where you can create your admin account and log in.

How to access Redash dashboard and create your first query

After you log in to your Redash dashboard, you will see a welcome page with some tips and links to help you get started. You can also watch this video tutorial to learn the basics of Redash.

To create your first query, you need to add a data source first. You can do this by clicking on the Data Sources</cod


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