DMARC-SRG is a straightforward PHP-based solution designed to parse, view, and generate summary reports from DMARC XML files. It focuses on presenting raw DMARC data in an understandable format, allowing administrators to quickly see authentication results and identify potential issues. Its functionality is primarily centered on local report processing and basic visualization.

We've found its core strength in its simplicity. It's not a full-fledged DMARC management platform, but rather a utility for gaining insights from aggregated reports. It provides a web interface to browse DMARC XML reports, offering a quick overview of compliant and non-compliant emails.

DMARC Visualizer takes a different approach, leveraging the Elastic Stack (Elasticsearch, Kibana, Grafana) along with parsedmarc for a more comprehensive data ingestion and visualization framework. This means it can handle larger volumes of DMARC reports and offers more sophisticated querying and dashboarding capabilities.

We appreciate its modular design, allowing for powerful customization and advanced analytics. Its features extend beyond basic reporting to include: - Scalable data storage for long-term trends - Dynamic dashboards for deep dives into DMARC data - Integration with other data sources if configured, offering a broader security posture overview.

Getting started with DMARC-SRG requires a basic understanding of PHP environments and web server configuration. Installation involves cloning the repository, configuring a web server (like Apache or Nginx), and ensuring PHP dependencies are met. Once set up, the interface is functional but visually dated.

Navigating DMARC-SRG is straightforward, mainly involving browsing report summaries. It prioritizes data clarity over advanced graphical presentation. If you're comfortable with self-hosting web applications, the day-to-day use is manageable, but it lacks the polish and intuitive design of modern SaaS tools.

DMARC Visualizer offers a significantly more complex setup due to its reliance on the Elastic Stack. Deploying Elasticsearch, Kibana, Grafana, and parsedmarc requires expertise in these technologies, containerization (Docker is often used), and system administration. This is not a quick installation for a novice.

However, once configured, the user experience within Kibana and Grafana is highly customizable and powerful. Users can build their own dashboards and visualizations, offering unparalleled flexibility. The initial steep learning curve for setup is offset by the robust analysis tools available, provided you have the technical resources.

As an open-source project hosted on GitHub, support for DMARC-SRG is community-driven. Users can raise issues on the GitHub repository for bugs or feature requests. There is no dedicated support team or commercial service level agreement.

We've observed that responsiveness depends on the community's engagement. For specific issues, you would rely on the project's maintainers or other users who might have encountered similar problems. This model suits those who are self-sufficient and comfortable troubleshooting independently.

DMARC Visualizer also operates under an open-source model, with support primarily coming from the GitHub community. Given its reliance on several distinct open-source projects (parsedmarc, Elasticsearch, Grafana), getting support might involve consulting documentation or communities for each component individually.

While there's no unified support channel, the individual components of the Elastic Stack have large and active communities. This can be a double-edged sword: extensive resources are available, but pinpointing the exact source of a problem within the integrated solution might require broader expertise. There is no direct commercial support for the DMARC Visualizer project itself.

DMARC-SRG is best suited for individuals or small to medium-sized businesses (SMBs) with technical staff comfortable with PHP and self-hosting. It's a good choice if you need a cost-effective, basic DMARC reporting solution without a steep learning curve beyond initial setup.

For Managed Service Providers (MSPs), it could be a customizable option for clients with simpler DMARC needs, but the lack of multi-tenancy means managing multiple clients would involve separate installations. Enterprise users would likely find it too limited in scale and advanced features.

DMARC Visualizer is ideal for organizations that already utilize or are willing to invest in the Elastic Stack. This includes larger SMBs and many enterprise environments where data analytics and robust infrastructure are common. It's suitable for those requiring deep insights and customizable visualizations.

MSPs with strong DevOps capabilities could leverage DMARC Visualizer to offer advanced DMARC monitoring to their clients, provided they can manage the complex multi-instance or multi-tenant Elastic Stack deployments. However, it's generally overkill for small businesses or those seeking a 'set it and forget it' solution.