PowerDMARC alternative: self-hosted for agencies

A self-hosted, open-source PowerDMARC alternative for agencies and MSPs — multi-tenant DMARC monitoring with unlimited domains and no per-domain fees.

PowerDMARC is a full-featured commercial platform with a strong MSP and white-label program, sold primarily as SaaS and priced by domains and message volume. DMARC Analyzer gives agencies and MSPs the same multi-client model — but open source, with unlimited domains at no cost and client data on infrastructure you control.

Side by side

PowerDMARC’s terms as published in July 2026; check their site for current details.

DMARC AnalyzerPowerDMARC
Open sourceYes (Apache-2.0)No
Standard deploymentSelf-hostedVendor SaaS
Self-hosting availableYes, the only modeYes — on-premise and in-country cloud are offered on enterprise terms
Pricing modelFree; unlimited domainsTiered by domains + message volume
Your report dataStays on your infrastructureVendor cloud by default
Agencies / MSPsYes, self-hosted multi-tenantYes, hosted / white-label
Forensic (RUF) reportsYes
BIMI / MTA-STS / TLS-RPT managementYes
SupportCommunityVendor, with SLAs

Where PowerDMARC fits

If you want a managed, white-label platform with vendor support and don’t need to self-host, PowerDMARC has a well-developed MSP offering.

Where DMARC Analyzer fits

If you’re an agency or MSP that would rather self-host, own client data outright, and skip per-domain billing, DMARC Analyzer is built around exactly that multi-tenant, self-hosted model. See the per-provider setup guides for onboarding client domains, and a guide to running DMARC across many client domains.

Worth being plain about the trade: PowerDMARC bundles BIMI, MTA-STS and TLS-RPT management alongside DMARC, and handles forensic (RUF) reports — ground this project doesn’t cover. If you want one vendor and one bill for the full protocol stack, and you’re comfortable paying for that convenience, that’s a real reason to pick them over stitching the pieces together yourself.

Named products are trademarks of their respective owners. This comparison reflects our understanding at the time of writing and may change; corrections are welcome via the GitHub repository.