DMARC-SRG acts as a straightforward PHP parser and report generator. It processes incoming DMARC aggregate XML reports, extracting crucial information about email authentication results.

This tool provides basic visual summaries, allowing us to see at a glance which sending sources are passing or failing DMARC, SPF, and DKIM. While effective for initial insights, it lacks advanced filtering or deep analytical capabilities, requiring manual aggregation for complex data points.

Docker DMARC Reports offers a more structured approach, leveraging Docker containers and a database (MySQL or PostgreSQL) to store parsed DMARC data. This allows for more persistent storage and querying of historical data.

The web interface presents DMARC aggregate reports in a navigable format, showcasing authentication results, sending sources, and compliance rates. It's a robust solution for maintaining a historical record and viewing trends, though advanced features like custom alerts or policy management are not part of its core offering.

From a user experience perspective, DMARC-SRG is quite technical. Its primary interaction is via the command line for parsing reports, which then generate static HTML output. This means less of an interactive dashboard and more of a manual report generation process.

Getting started requires familiarity with PHP environments and cron jobs for automated processing. While functional for those comfortable with command-line tools, it might present a steeper learning curve for users expecting a point-and-click interface.

Docker DMARC Reports, thanks to its Dockerized nature, simplifies initial deployment compared to a raw server setup. Once the container is running and configured, it provides a web-based interface for viewing reports, which is generally more accessible than DMARC-SRG's static HTML.

However, setting up the Docker environment, database, and IMAP access still demands a reasonable level of technical expertise. The interface is functional and clean, but it's built for presenting data rather than offering an intuitive user journey or proactive insights.

As an open-source project, DMARC-SRG relies entirely on community support. Users can typically find help by searching GitHub issues, forums, or other online resources where the project might be discussed.

There is no dedicated support team or official channels for troubleshooting beyond what the community provides. We've found that issue resolution depends on the activity of project maintainers and other users, which can vary significantly.

Similarly, Docker DMARC Reports operates on a community-driven support model. The project's GitHub repository is the primary place for raising issues, seeking advice, or contributing to the codebase.

While active, the support is not on-demand or guaranteed. We've experienced that solutions often require a good understanding of Docker, email protocols, and database management to implement, even with community guidance.

DMARC-SRG is best suited for individuals or small technical teams who need a basic, self-hosted DMARC reporting solution. It's a good fit for developers looking to quickly parse DMARC XML files without complex infrastructure.

For SMBs with strong technical resources and limited budget, it can be viable. However, it's generally unsuitable for enterprise-level operations due to its lack of scalability, advanced features, and formal support. MSPs might find it cumbersome to manage across many clients.

Docker DMARC Reports is ideal for technically proficient users, small to medium-sized businesses, or even tech enthusiasts who are comfortable with Docker and database management. It provides a more robust and persistent solution than DMARC-SRG for historical data.

While more scalable than DMARC-SRG, it still falls short for large enterprise environments that demand extensive features, high availability, and dedicated support. MSPs could potentially implement it for some clients, but it still lacks the multi-tenancy and streamlined management features often required.