Apache Superset BI Platform - AMI | Support by cloudimg

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

Apache Superset is a modern, open-source data exploration and business intelligence platform trusted by organizations worldwide. This AMI delivers Superset fully installed and configured as a single-node deployment so your team can start building dashboards and running queries without provisioning individual components or writing configuration files.

• No shared or default credentials - Many pre-built images ship with hardcoded passwords that are identical across every deployment, creating a serious security risk. This AMI generates a unique application secret key, PostgreSQL password, and Superset administrator password on every first boot, eliminating credential reuse entirely.
• Production-grade process management - Instead of relying on Docker Compose or manual screen sessions, every component runs as a managed systemd service with automatic restarts, proper logging, and clean dependency ordering.
• Pinned Python environment - A constraints-pinned virtual environment means predictable upgrades and no surprise dependency conflicts when you update Superset.
• Background query execution - A pre-configured Celery worker handles long-running SQL Lab queries so they never block the web UI for other users.

• Apache Superset6 served by gunicorn on port 8088
• PostgreSQL for Superset metadata storage
• Redis for caching and asynchronous query results
• Celery worker for background SQL execution
• All components managed as systemd services

On the first boot a one-shot service generates fresh credentials unique to your instance and writes the administrator password to a root-only file. No manual secret rotation is needed at launch.

1. Launch the AMI with a security group allowing inbound TCP on port 8088 and SSH on port 22.
2. SSH into the instance and retrieve the administrator password from the root-only file.
3. Open your browser to http://[instance-public-ip]:8088 and sign in as the administrator.
4. Connect a database, explore data in SQL Lab, and build charts and dashboards.

The Superset web application, metadata database, cache, and worker start automatically - no additional commands required.

• E-commerce analytics team connecting to Amazon Redshift or RDS to monitor daily order metrics, conversion funnels, and inventory levels through interactive dashboards shared across marketing and operations.
• Self-service BI and reporting for small-to-mid-size data teams that need a powerful visualization layer without the cost of proprietary tools.
• Ad hoc data exploration using the built-in SQL IDE with syntax highlighting and autocomplete.
• Operational dashboards for engineering and DevOps teams tracking application performance and infrastructure metrics.

Data analysts, platform engineers, and small-to-mid-size teams running workloads on AWS who need a production-ready BI platform without dedicated infrastructure staff. Ideal for organizations with data in Amazon Redshift, RDS, or any SQLAlchemy-compatible database.

• 40+ pre-installed visualization types
• Drag-and-drop chart builder and rich SQL editor
• Cross-filters, drill-to-detail, and drill-by for deeper analysis
• Jinja templating and dashboard filters for interactivity
• Semantic layer for SQL data transformations
• CSS templates to match your brand

24/7 technical support by email and live chat. Our engineers provide expert assistance with deployment, upgrades, performance tuning, database connections, and dashboard administration.

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