Sold by: Lynxroute
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This product has charges associated with it for hardening, security configuration, and support.
Apache Superset is a business intelligence and data exploration platform running on Gunicorn with Celery workers, a bundled PostgreSQL metadata database and a bundled Valkey cache. This Lynxroute build is hardened and ready out of the box: no credentials in the image with the admin password and encryption key generated at first launch, PostgreSQL and Valkey bound to 127.0.0.1 only, self-registration disabled, nginx TLS in front of the web interface, UFW firewall pre-configured, and a CIS Level 1 hardened Ubuntu 24.04 LTS base.
Apache-2.0 license - fully auditable, no vendor lock-in.
Overview
This is a repackaged software product wherein additional charges apply for hardening, security configuration, and support.
WHAT IS APACHE SUPERSET
Apache Superset is a business intelligence and data exploration platform from the Apache Software Foundation, built in Python on Flask with a React front end. It connects to any SQL-speaking datastore through SQLAlchemy - PostgreSQL, MySQL, Snowflake, Trino, ClickHouse, Druid and dozens more - and turns queries into interactive charts and dashboards. It offers SQL Lab as a full in-browser query IDE, a no-code Explore view for building charts without SQL, more than 50 visualization types, a semantic layer for reusable metrics, row-level security, dashboard filtering, alerting hooks and scheduled cache warm-up. Chart, dashboard and user metadata persists in PostgreSQL; query results and the task queue live in Valkey. Apache-2.0 license, no vendor lock-in - and because it is governed by the ASF there is no commercial edition holding features back.
WHAT THIS AMI ADDS
Security hardening:
- No credentials in the image - the admin password, the PostgreSQL password and the Flask secret key are all generated on your instance at first launch
- The per-instance secret key encrypts every warehouse credential you save in Superset, so a copy of the image cannot decrypt them
- PostgreSQL and Valkey bound to 127.0.0.1 only - not reachable from the network
- The application server listens on loopback; nginx is the only process facing the network
- Self-registration disabled - accounts are created by an administrator
- TLS enabled from the first launch with a self-signed certificate and an HTTP-to-HTTPS redirect, plus Certbot pre-installed for a CA-signed certificate
- UFW firewall pre-configured - only 22, 80 and 443 open
- fail2ban and AppArmor pre-configured
- CVE scan - every image is scanned for vulnerabilities before release
A production stack, not a development sample:
- Gunicorn with gevent workers, the asynchronous configuration the Superset documentation recommends
- Celery worker and scheduler for asynchronous SQL Lab queries and scheduled tasks
- Worker pools sized automatically from the instance CPU and memory at first launch
- PostgreSQL as the metadata database rather than the SQLite default, which the project discourages for production
- Valkey backing the task broker, the results backend and all four caches on separate logical databases
- A loading page while the database is prepared on first launch, instead of a connection error
OS hardening (CIS Level 1):
- CIS Ubuntu 24.04 LTS Level 1 benchmark applied via ansible-lockdown, with a documented tailored profile
- auditd, SSH hardening, Kernel hardening, IMDSv2 enforced
Compliance artifacts:
- SBOM - CycloneDX 1.6 at /etc/lynxroute/sbom.json
- CIS Conformance Report at /etc/lynxroute/cis-report.html
- CIS Tailored Profile at /usr/share/doc/lynxroute/CIS_TAILORED_PROFILE.md
Highlights
- Apache Superset security baked in: no credentials in the image with the admin password and encryption key generated at first launch, warehouse credentials encrypted at rest with a per-instance key, PostgreSQL and Valkey bound to 127.0.0.1 only, self-registration disabled, nginx TLS with Certbot pre-installed.
- CIS Level 1 hardened Ubuntu 24.04 LTS: auditd, fail2ban, AppArmor, SSH key-only, IMDSv2 enforced. CVE-scanned before every release. SBOM (CycloneDX) and CIS Conformance Report included.
- A complete BI stack, ready to query: Gunicorn with gevent workers, Celery worker and scheduler, bundled PostgreSQL metadata database and bundled Valkey cache, all wired together and sized to your instance. Apache-2.0 license - fully auditable, no vendor lock-in.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
t3.large Recommended | $0.03 |
m6i.2xlarge | $0.05 |
m6i.xlarge | $0.05 |
m6i.large | $0.05 |
Dimensions summary
You pay by the hour based on the EC2 instance size you run. The four options — t3.large, m6i.large, m6i.xlarge, and m6i.2xlarge — differ in compute and memory capacity, not in features. Pricing scales with instance size: larger instances cost more per hour and handle heavier workloads. Every instance ships with the same hardened, pre-configured software image. Choose the size that fits your performance needs, and you are billed only for the hours each instance runs. There is no upfront commitment.
Top-of-mind questions for buyers
Each option maps to an AWS EC2 instance type. The t3.large and m6i.large offer smaller compute and memory pools. The m6i.xlarge and m6i.2xlarge provide larger amounts. You choose the size that matches the query load and number of concurrent users you expect.
You pay per hour only while the instance runs. Fully stopped instances do not accrue software charges. However, stopped instances may still incur underlying AWS storage fees for attached volumes. The software meter tracks running hours, so pausing the instance halts the software charges.
Every instance ships with the same hardened Ubuntu 24.04 LTS image. It includes CIS Level 1 hardening, CVE scanning, a CycloneDX SBOM, and a CIS Conformance Report bundled inside. Unique credentials are generated at first boot. Instance size changes compute and memory only, not the included software.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Apache Superset 6.1.0 - Initial release (August 2026)
- Apache Superset 6.1.0 on Ubuntu 24.04 LTS
- CIS Level 1 hardening applied (ansible-lockdown/UBUNTU24-CIS)
- CVE-scanned before every release
- No credentials in the image - the admin password, the database password and the Flask secret key are generated on your instance at first launch
- Warehouse credentials saved in Superset are encrypted at rest with the per-instance secret key
- Production stack: Gunicorn with gevent workers, Celery worker and scheduler, bundled PostgreSQL metadata database, bundled Valkey for the task broker, results backend and caches
- Worker pools sized automatically from the instance CPU and memory
- PostgreSQL and Valkey bound to 127.0.0.1 only
- Self-registration disabled; accounts are created by an administrator
- nginx TLS with a self-signed certificate and HTTP-to-HTTPS redirect; Certbot pre-installed
- UFW firewall pre-configured (ports 22, 80, 443 only)
- fail2ban, auditd, AppArmor pre-configured
- SBOM (CycloneDX 1.6) at /etc/lynxroute/sbom.json
- CIS Conformance Report (OpenSCAP) at /etc/lynxroute/cis-report.html
- IMDSv2 enforced
Additional details
Usage instructions
- Launch instance (t3.large recommended)
- Open Security Group - allow TCP 443 (and TCP 22 for SSH) from your IP
- SSH: ssh -i key.pem ubuntu@<PUBLIC_IP>
- Read credentials: sudo cat /root/superset-credentials.txt
- Open https://<PUBLIC_IP>/ in your browser - accept the self-signed certificate warning
- Log in as admin with the password from the credentials file, then change it under Settings
- Add your database under Settings -> Database Connections, then query it in SQL Lab and save a chart
The instance takes 2 to 4 minutes to become available on first launch while the metadata database is prepared. A loading page refreshes automatically until Superset is ready; if you see it, wait rather than reloading.
The admin password, the database password and the encryption key are generated on your instance at first launch and saved to /root/superset-credentials.txt. No credentials are baked into the image.
The encryption key protects the database credentials you save inside Superset. Keep /root/superset-credentials.txt and /etc/superset/superset.env backed up; losing the key makes saved connection passwords unrecoverable.
Replace the self-signed TLS certificate with a CA-signed certificate for production use: sudo certbot --nginx -d yourdomain.com
Asynchronous query execution is available: tick it on a database connection under Settings -> Database Connections -> Advanced -> Performance to route long queries through the Celery worker.
Resources
Vendor resources
Support
Vendor support
Visit us online: https://lynxroute.com
For Apache Superset documentation:
AWS infrastructure support
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