Sold by: Code Creator
Deployed on AWS
AWS Free Tier
Launch a production-oriented Apache Superset 6.1 analytics server on AWS in minutes. Includes automated first boot setup, PostgreSQL metadata storage, Valkey caching, Nginx, Celery workers, SQL Lab, dashboards, alerts and reports components, plus drivers for Athena, Redshift, Snowflake, MySQL, PostgreSQL, and Trino. This product has charges associated with it for the provision and deployment of the application and AMI support.
Overview
This is a repackaged open source software product wherein additional charges apply for automated deployment, security focused configuration, preinstalled database connectivity, operational tooling, AMI maintenance, and support provided by Code Creator.
Code Creator Advanced Analytics Server delivers Apache Superset 6.1.0 as a ready to launch analytics stack in your AWS account. On first boot, the AMI generates unique application, database, cache, and administrator credentials; initializes PostgreSQL metadata storage; configures authenticated Valkey caching; and starts the Superset web application, Celery workers, task scheduler, and Nginx web endpoint. A secure local FIRST LOGIN.txt file provides the EC2 administrator with the initial URL and generated login credentials.
Analysts and business users can explore data in SQL Lab, build charts without code, define reusable metrics and dimensions, and publish interactive dashboards. The image includes database drivers for Amazon Athena, Amazon Redshift, Amazon Aurora Data API, Snowflake, PostgreSQL, MySQL, and Trino.
The deployment keeps PostgreSQL, Valkey, and the Superset application port on internal Docker networks. Only SSH and the Nginx web endpoint are intended for EC2 security-group access. Customers retain control of their AWS account, EC2 instance, network rules, data sources, TLS certificates, backups, and operating costs.
Operational health checks and the cc superset management command are included for status, health, restart, logs, version reporting, and full-stack validation. Alerts and reports components are installed; customers configure their own SMTP or Slack delivery settings.
Highlights
- Automated and customer-specific first boot: Launch in your AWS account and receive unique application, database, cache, and administrator credentials generated directly on the instance.
- Complete analytics application stack: Apache Superset 6.1.0 with PostgreSQL, authenticated Valkey caching, Nginx, Celery workers and scheduler, health checks, and the cc-superset operations command.
- Ready for modern data platforms: Includes connectivity for Amazon Athena, Amazon Redshift, Amazon Aurora Data API, Snowflake, PostgreSQL, MySQL, and Trino.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
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Pricing
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.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t3.large Recommended | $0.025 |
t3.micro | $0.025 |
t2.micro | $0.025 |
g5.8xlarge | $0.025 |
d2.8xlarge | $0.025 |
t3a.small | $0.025 |
i3en.3xlarge | $0.025 |
c5d.4xlarge | $0.025 |
m5dn.4xlarge | $0.025 |
c6i.xlarge | $0.025 |
Dimensions summary
You pay by the hour for this Apache Superset server, billed only while your instance runs. Each dimension maps to a specific AWS EC2 instance type, so pricing scales with the compute size you pick. Smaller instances like t2.nano or t3.micro cost less per hour than large ones like u-24tb1.metal or p4d.24xlarge. The software runs on the same image across all sizes; the hourly rate reflects the CPU, memory, storage, and GPU capacity of the instance you choose. Pick the size that matches your workload, then scale up or down by switching instance types.
Top-of-mind questions for buyers
You get a pre-built Apache Superset server running on the AWS EC2 instance size you select. The rate combines the software license and the compute resources of that instance, such as its CPU, memory, storage, and any GPU. The image is provisioned and ready to deploy.
The software charge meters running instance-hours only. When you stop the instance, the hourly software charge stops accruing. Stopped instances may still incur underlying AWS storage fees for attached volumes, but those are separate AWS charges, not part of this software license.
Switch to a different instance type from the list. The software runs on the same image across all sizes, so you keep the same product. Your hourly rate then matches the new instance you picked. You are billed at each instance's rate only while that instance runs.
www.codecreator.com
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Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
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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 on Ubuntu 26.04 LTS with automated first boot setup, PostgreSQL metadata storage, Valkey caching, Nginx, Celery workers, Playwright support, and preinstalled connectivity for Athena, Redshift, Snowflake, PostgreSQL, MySQL, Aurora Data API, and Trino.
Additional details
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Code Creator
By Omni Analytics
Top
10
In Analytic Platforms, Data Analytics, Business Intelligence & Advanced Analytics
Top
25
In Data Governance, Business Intelligence & Advanced Analytics
Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
Analytics and Visualization Engine
Apache Superset 6.1.0 with SQL Lab, no-code chart building, reusable metrics and dimensions, and interactive dashboard publishing capabilities
Database Connectivity
Pre-installed drivers for Amazon Athena, Amazon Redshift, Amazon Aurora Data API, Snowflake, PostgreSQL, MySQL, and Trino
Caching and Performance
Authenticated Valkey caching layer for optimized query performance and data retrieval
Task Processing and Scheduling
Celery workers with task scheduler for asynchronous job execution and background processing
Alerts and Reporting
Built-in alerts and reports components with configurable SMTP or Slack delivery integration
Container Orchestration
Docker-based deployment architecture enabling simplified deployment and upgrade processes
One-Click Application Deployment
Support for one-click deployment of over 200 template applications from integrated console
Multi-Application Management
Console panel for installing and managing multiple applications on a single instance
GitOps Deployment Approach
GitOps-based deployment methodology with continuous deployment capabilities for live applications
Web-Based Administration Interface
Web-based console for domain binding, HTTPS configuration, access control, and status monitoring
Semantic Layer Architecture
Built-in semantic model that provides governed metrics and ensures consistency across analytics queries and AI-generated answers
Conversational AI Analytics
Natural language processing capability enabling users to ask AI questions and receive trusted answers without requiring SQL knowledge
Version Control and Git Integration
Git integration with branching, content validation, and version history features for managing changes to semantic models and analytics content
Embedded Self-Service Analytics
Self-service analytics capabilities including conversational AI, spreadsheet workflows, and customizable user interfaces with CSS and markdown support
Governance and Access Control
Governed data access mechanisms that maintain consistency and trustworthiness while enabling widespread self-service exploration and AI querying
Standard contract
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