DataEase - Business Intelligence and Data Visualization

This is a repackaged open source software product wherein additional charges apply for cloudimg support services.

## Overview

DataEase is an open source business intelligence and data visualization platform with over 24,000 GitHub stars and a global community of users across industries including e-commerce, SaaS, financial services and healthcare. Connect to your databases and data sources, build charts and rich interactive dashboards, called panels, with a drag and drop designer, and share them with your team or embed them into your own applications. This AMI delivers DataEase fully installed and secured so a working analytics platform is operational within minutes of launch.

## Why DataEase Over Other BI Tools

DataEase occupies the same space as Metabase and Superset but offers distinct advantages for teams that need self-hosted, embeddable analytics:

• Open source core with no feature gating: capabilities such as embedding, dataset modeling and role based access are available in the open source core without upgrading to a paid tier
• Drag and drop panel designer: non technical users build multi chart dashboards without writing SQL or front end code, reducing reliance on engineering teams
• First class embedding model: design panels in DataEase and embed them directly into customer facing products or internal portals, keeping data and rendering on infrastructure you control
• Dataset modeling layer: define reusable datasets with joins, calculated fields and filters that analysts can query without touching raw tables

This AMI adds production grade hardening and 24/7 cloudimg support on top of the upstream project, eliminating the operational burden of a manual deployment.

## Why This Image vs a Manual Install

Running DataEase yourself means standing up Docker, a MySQL metadata database, and the DataEase engine, wiring them together on a private network, rendering the application configuration, and removing the well known default administrator the stock image seeds on first initialization. This image completes every one of those steps at build time. The engine and dashboard are bound to the loopback interface and fronted by an nginx reverse proxy with TLS; the MySQL metadata database is never exposed on a host port; a unique administrator password and database password are generated on each instance's first boot. Launch the instance, read your unique credential, and sign in.

## Application Stack

DataEase is delivered as the official all in one engine, API and dashboard container, pinned by digest, alongside a bundled MySQL metadata database, also pinned by digest and reachable only inside a private container network. Docker Engine and its data root, including every pre pulled image and the metadata database and application state, live on a dedicated independently resizable data volume separate from the OS disk. systemd brings the whole stack up on boot and restarts it on failure. The dashboard and API are served behind nginx over TLS.

## Security Hardening

This image follows a defence in depth approach:

• No default or shared credentials: the well known default administrator the stock image seeds is reset to a unique, cryptographically random password on each instance's first boot, before the port is reachable, and written only to a root-only file; the default credential is rejected
• Per instance secrets: the MySQL database password and the administrator password are generated per instance on first boot, never shipped in the image
• Network isolation: the engine, dashboard and API bind exclusively to the loopback interface; the MySQL metadata database is never published to a host port; only the nginx reverse proxy is exposed, over TLS
• Dedicated data volume: the Docker data root, the metadata database and the application state live on their own disk, surviving OS-disk changes and resizable independently
• Automatic restart: systemd monitors the stack and restarts it on failure

Buyers requiring formal compliance documentation should contact cloudimg to discuss specific requirements.

## AWS Integration

Deploy on any EC2 instance type; the recommended size is m5.large. Put the DataEase dashboard behind an Application Load Balancer for TLS termination with your own certificate and health monitoring. Back up the metadata database and application state using EBS snapshots or AWS Backup, and resize the dedicated data volume independently of the OS disk as your dashboards and datasets grow. Connect DataEase to data sources running in your VPC, such as Amazon RDS or Amazon Redshift, over private networking.

## cloudimg Support

24/7 technical support by email and chat. Help with deployment, reverse-proxy termination with your own domain and certificate, connecting external data sources, tuning the bundled MySQL metadata database, embedding panels into your own applications, and backup planning for your dashboards and datasets.