Sold by: Code Creator
Deployed on AWS
AWS Free Tier
Deploy a production-ready, self-hosted Matomo analytics server on AWS in minutes.
Overview
Matomo Private Web Analytics Self Hosted Server by Code Creator
Take full ownership of your website analytics with a ready-to-launch, self-hosted Matomo server on AWS. Built for businesses, developers, agencies, educators, and teams who need powerful web analytics without sending visitor data to third-party services, this AMI delivers a fully automated deployment that gets you from launch to live dashboard in about 60 to 90 seconds.
Matomo is a free, open source web analytics platform originally released as Piwik in 2007 and renamed Matomo in 2018. Written in PHP and licensed under GNU GPL v3, Matomo tracks visits to one or more websites and provides detailed reports for analysis - giving you a privacy-focused alternative to third-party analytics services.
Why Self-Hosted Matomo on AWS?
- Full data ownership - All analytics data stays on your AWS infrastructure, in the region you choose, under your control
- No third-party data sharing - Visitor data never leaves your server, supporting data sovereignty requirements
- Open source transparency - Matomo's source code is publicly available on GitHub for review and audit
- Scalable infrastructure - Run on the EC2 instance size that matches your traffic volume and scale up as needed
Automated Deployment Stack
This AMI deploys the latest Matomo on Ubuntu using Docker Compose with MariaDB for the database and an Nginx reverse proxy for web traffic handling. The Code Creator first boot automation handles the heavy lifting so you can focus on analytics, not server configuration.
What happens at first boot:
- Fresh, unique database credentials are generated automatically for each new instance
- The complete Matomo stack (Docker Compose, MariaDB, Nginx) starts automatically
- Customer setup instructions are written to the instance for easy reference
- Helper commands are configured for URLs, service status, logs, restarts, backups, archiving status, and optional HTTPS setup
Preconfigured Hourly Background Archiving
Hourly background archiving is preconfigured and activates after you complete the Matomo setup wizard. Matomo recommends hourly auto archiving for better report processing on active sites, and this AMI handles that configuration for you out of the box.
Built-In Operational Tools
Code Creator includes helper commands that simplify day-to-day server management:
- Status checks - View service health and running container status
- Log access - Review Matomo, Nginx, and MariaDB logs for troubleshooting
- Backup tools - Create and manage backups of your analytics data
- Restart commands - Restart individual services or the full stack
- Archiving status - Monitor background report processing
- Optional HTTPS setup - Configure secure connections when you are ready
Who This Is Built For
- Marketing agencies managing analytics across multiple client websites who need centralized, private tracking
- E-commerce businesses that want visitor and conversion analytics without sharing customer browsing data with external services
- Educational institutions tracking usage across student portals and learning platforms while maintaining institutional data policies
- Development teams building data pipelines who need a self-hosted analytics API they fully control
- Organizations replacing third-party analytics with a self-hosted solution to strengthen their data governance posture
Quick Start in Three Steps
- Launch - Deploy the AMI from AWS Marketplace on your chosen EC2 instance
- Configure - Wait about 60 to 90 seconds, open the public IP in your browser, and complete the Matomo setup wizard to create your administrator account
- Track - Add your website, install the tracking code, and begin collecting analytics data immediately
What Code Creator Provides
Code Creator charges cover the automated first boot deployment, Docker Compose with MariaDB and Nginx integration, fresh database credential generation, hourly background archiving configuration, backup and operational helper tools, optional HTTPS configuration support, ongoing AMI maintenance, AWS Marketplace compliance, and technical support.
Launch your private analytics server today and start collecting website data on infrastructure you own and control.
Highlights
- Own your analytics data without relying on third-party services. This self-hosted Matomo server runs entirely within your AWS account, giving you full control over visitor data, tracking configuration, and data retention policies. Each instance launches with unique, automatically generated database credentials so no two deployments share default passwords, reducing the risk of credential reuse across environments.
- Preconfigured hourly background archiving processes your Matomo reports automatically, so dashboards load quickly without triggering on-demand report generation. Built-in helper commands let you check service status, view logs, restart services, run backups, and verify archiving health from the command line - eliminating the need to manually navigate configuration files or remember complex Docker Compose syntax for routine operational tasks.
- Go from AMI launch to collecting analytics in about 60 to 90 seconds. The first-boot automation handles database initialization, credential generation, Nginx reverse proxy configuration, and Matomo stack startup with no manual steps. Optional HTTPS setup and backup tooling are included, so you can secure and protect your deployment without sourcing additional scripts or third-party tools.
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.medium Recommended | $0.03 |
t3.micro | $0.03 |
t2.micro | $0.03 |
d2.xlarge | $0.03 |
t3.nano | $0.03 |
d3.xlarge | $0.03 |
g4ad.xlarge | $0.03 |
t3a.medium | $0.03 |
c3.xlarge | $0.03 |
c4.xlarge | $0.03 |
Dimensions summary
You pay by the hour for the software running on your chosen Amazon EC2 instance. Each dimension maps to a specific EC2 instance type, so pricing scales with the compute size you pick. Smaller types like t3.nano and t2.micro suit light workloads. Larger types like m5.24xlarge, r5.24xlarge, and c5.4xlarge give more compute, memory, or storage for heavier use. Compute-optimized (c-family), memory-optimized (r-family), general-purpose (m- and t-families), storage-dense (d-family), and GPU (g-family) options let you match hardware to your needs. Software charges accrue only while an instance runs.
Top-of-mind questions for buyers
Software charges accrue only while the instance runs. A stopped or powered-off instance stops the hourly software meter. You may still pay separate AWS fees for storage attached to a stopped instance, but the software licence meters running time only.
Your chosen Amazon EC2 instance type sets the rate. Each dimension maps to one instance type, from t3.nano up to m5.24xlarge. Larger types with more compute, memory, or storage carry different hourly software charges. You pick the type that fits your workload.
Each instance type is billed as its own hourly dimension. To scale up, you launch the software on a type with more compute, memory, or storage. The hourly rate changes to match the new type. Charges follow the instance you actually run.
www.codecreator.com
Helpful?
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Rebuilt from scratch on Ubuntu with Matomo, Docker Compose, MariaDB, Nginx reverse proxy, first boot credential generation, helper commands, backup support, hourly background archiving, optional HTTPS helper, and updated Code Creator customer guidance.
Additional details
Support
Vendor support
For support inquiries related to this Matomo AMI, contact Code Creator by email at info@codecreator.com
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.
Similar products
Deploy a private AI competitor research server on AWS. Schedule recurring web scans, detect meaningful changes, and export executive reports - all powered by Amazon Bedrock inside your own account.
This product has charges associated with it for TurnKey integration, maintenance, and support. Matomo is a preconfigured open-source appliance with automated security updates and backup tools.
This is a repackaged open source software product wherein additional charges apply for Code Creator EC2 ready Plausible packaging, preconfigured privacy focused analytics deployment, Ubuntu integration, AMI maintenance, Marketplace compliance, and support. Plausible is a simple and privacy-friendly Google Analytics alternative.
Private AI Document Search by Code Creator lets you index and search PDFs, Word files, and internal documents inside your own AWS account - no third-party SaaS required.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.