Open-DMARC-Analyzer review 2026
We tested Open-DMARC-Analyzer for 90 days across a corporate domain, a marketing subdomain, and a parked domain. It worked best as a self-hosted report viewer for teams that already own parsing, database upkeep, and DMARC decision-making. It left sender classification, alerting, and policy movement to the operator.
Open-DMARC-Analyzer
Self-hosted DMARC reporting
Starts at
$0 software license
Best fit
Teams with in-house DMARC and Linux administration
In one line
Open-DMARC-Analyzer is a no-license self-hosted viewer; compared with Suped's guided fixes and published starter pricing, the tradeoff is direct control for more owner work.
Suped
The third option. Hosted SPF, DMARC, and MTA-STS on every plan. Published pricing. Monthly plans. No long contract required.
Learn about Suped
Use Open-DMARC-Analyzer only when self-hosting is non-negotiable
Pick Open-DMARC-Analyzer if
Choose Open-DMARC-Analyzer when the operating model already exists
Our parked domain stayed quiet without a SaaS fee, as long as the parser and database stayed healthy.
The corporate and marketing domains could be separated through the self-hosted data model, which suited a team already managing database access.
The forwarded mail SPF failure remained visible at raw source level, which helped when an analyst wanted to inspect aggregate data manually.
Free plan available
Consider Suped if
Choose Suped when guided fixes, hosted records, and simpler ownership matter
Guided fixes turn Microsoft 365, Google Workspace, SendGrid, Mailchimp, and support desk findings into owner-ready tasks.
Automated issue detection and alert quality matter when forwarded SPF failures or unknown senders need triage without daily report review.
Published starter pricing and MSP workflows reduce procurement and client handoff work.
Free plan available
The differences that actually change your week
Open-DMARC-Analyzer
Suped
DMARC report analysis
Turns aggregate reports into domain, source, SPF, DKIM, and disposition views.
Supported after parser and database setup
Supported
Source detection
Identifies sending services or source groups behind DMARC traffic.
Partial, IP and domain views need manual naming
Supported with source naming
Forward detection
Separates normal forwarding breakage from unauthorized authentication failures.
Manual inference from SPF and DKIM patterns
Supported
Spoof detection
Flags unauthorized traffic that fails DMARC.
Reporting only, no automated case workflow
Supported
Notifications and alerts
Routes meaningful changes or failures to the right owner.
Requires external monitoring
Supported
Reporting
Produces usable reporting views or exports for review cycles.
Supported with date and domain views
Supported
API
Allows programmatic access or automation.
No public API found in testing
Supported
Multi-tenancy
Separates clients, business units, or domains with clean permissions and handoff.
Manual account separation only
Supported
SPF flattening
Manages SPF lookup limits and flattening work.
Not supported
Supported
Hosted DMARC
Hosts or manages DMARC records instead of leaving DNS edits fully manual.
Not supported
Supported
Hosted SPF
Hosts or manages SPF records.
Not supported
Supported
Hosted MTA-STS
Hosts or manages MTA-STS policy and TLS reporting workflow.
Not supported; report parsing is separate from hosting
Supported
Blocklists and reputation
Checks blocklist and blacklist status or reputation signals.
Not supported
Supported
Automatic issue detection
Finds authentication problems without relying on daily manual review.
Manual workflow
Supported
AI copilot
Uses AI assistance for explanation, triage, or fixes.
Not supported
Supported
DNS monitoring
Watches authentication records for drift, missing values, or risky changes.
Not supported
Supported
Self hostable
Can be deployed and operated on buyer-controlled infrastructure.
Supported
Not self-hosted
Free trial/free tier
Has a no-cost entry path for testing or low-volume use.
$0 software license
Free tier available
Ten dimensions, scored from 0 to 10
Open-DMARC-Analyzer was scored against a fixed editorial rubric covering enforcement readiness, operations, support, pricing clarity, and related authentication workflows. Higher is better in every row.
Open-DMARC-Analyzer scores well on no-license reporting control, but weakly on guided enforcement and operations.
The scores reflect that our SPF and DKIM pass cases with DMARC domain match were visible once reports reached the database, but the tool did not turn Microsoft 365, Google Workspace, SendGrid, Mailchimp, or the support desk into owner-ready tasks. The forwarded mail SPF failure and unknown sender both required manual reading of source rows and authentication details. Self-hosting kept license cost at $0, yet parser maintenance, alert routing, and policy movement stayed outside the product.
Open-DMARC-Analyzer score
31/100
Open-DMARC-Analyzer
31/100
DMARC enforcement
4.0
Customer support
2.0
Source resolution
5.0
Setup and onboarding
4.0
MSP workflows
2.5
Alerting and integrations
1.5
Hosted SPF and MTA-STS
1.0
Blocklist monitoring
0.5
Pricing transparency
7.0
Time to enforcement
3.5
Feature set
Reporting depth vs remediation breadth
Open-DMARC-Analyzer is a report viewer, not a full enforcement workspace.
It handled aggregate report visibility after the parser fed the database, so our Microsoft 365, Google Workspace, SendGrid, Mailchimp, and support desk traffic was inspectable. The buying criterion is whether Suped's guided fixes and automated issue detection are needed, because otherwise the team must translate report data into DNS and sender-owner tasks itself.
Open-DMARC-Analyzer
Self-hosted report views
Raw authentication detail retained
Manual source naming
Open-DMARC-Analyzer showed the SPF and DKIM pass cases with DMARC domain match clearly once the reports were imported. The SPF pass with visible from mismatch surfaced as a mismatch in the data, the DKIM pass on the marketing subdomain stayed visible under the subdomain, and the unauthorized spoof sample was easy to isolate by disposition. The unknown sender still needed manual classification because the product did not map it to a service owner or remediation step.
A guided hosted workflow groups the same sender evidence into named services, owner fields, and fix paths. In this test shape, Microsoft 365 and Google Workspace fit corporate sender inventory, SendGrid and Mailchimp fit marketing ownership, and the support desk sits as a separate operational sender. The difference is less about raw report access and more about whether source resolution, issue detection, and record work live inside the product.
User experience
Control vs guidance
Open-DMARC-Analyzer suits operators who accept manual setup.
The UI was understandable once data was flowing, but reaching that point required parser, database, and web app work before the three domains produced useful views. Unknown sender triage and the forwarded mail SPF failure were possible, but the product made us inspect evidence rather than follow a guided task path.
Open-DMARC-Analyzer
Readable domain drilldowns
Manual sender classification
Setup needs server work
Onboarding the primary corporate domain, marketing subdomain, and parked domain was mostly infrastructure work. We had to confirm where reports were parsed, how the database received them, and whether the web view had enough permissions to display each domain. Once that was working, date filters and domain views helped us inspect the unknown sender, but naming and ownership were still notes outside the product.
A guided hosted UX groups DNS records, sender inventory, and policy state in product workflows instead of a self-hosted stack. The forwarded mail SPF failure was easier to explain when viewed beside DKIM and domain match context, while the unknown sender was treated as a classification task rather than another row to remember. That model fits teams that want less time in infrastructure and more time resolving sender ownership.
Support
Community model vs vendor handoff
Open-DMARC-Analyzer needs internal ownership for support.
We did not find a paid support path, SLA, or enterprise onboarding route for this specific project. That changes the support model: DNS handoff, parser issues, database maintenance, and escalation need an internal owner or an existing operations team.
Open-DMARC-Analyzer
No paid SLA found
DNS handoff is internal
Escalation needs operators
During setup, support expectations centered on internal documentation rather than vendor handoff. DNS changes for the corporate domain, marketing subdomain, and parked domain needed our own checklist, and the parser/database handoff was the most likely escalation point. If a SendGrid or Mailchimp issue needed ownership from marketing, Open-DMARC-Analyzer did not create a ready-made handoff note.
A vendor-led support path means product help for DNS records, source interpretation, and account questions rather than community-style project support. In our handoff notes, this matters most when a Microsoft 365 tenant, Google Workspace domain, and third-party sender all need changes owned by different teams. The contrast is support operating model, not whether aggregate data exists.
Suitability
Self-hosting constraint vs ownership fit
Open-DMARC-Analyzer is narrow; most teams need more workflow.
Pick Open-DMARC-Analyzer when self-hosting, $0 software licensing, and direct database control are fixed requirements. For most SMB, MSP, and enterprise teams, the buying criterion is whether Suped-style MSP workflows and alert quality reduce weekly handoff work across domains and clients.
Open-DMARC-Analyzer
Best for self-hosting
Manual client grouping
Needs owner handoff
Open-DMARC-Analyzer fit the narrowest part of the test: one team inspecting aggregate reports for its own domains. Account separation for an MSP-style setup would require manual operational boundaries, such as separate instances, databases, permissions, or reporting packs. Recurring client reporting and handoff notes were possible only outside the product.
A managed workflow fits the same test shape when account separation, domain grouping, recurring reports, and handoff notes need to be part of the weekly workflow. The corporate domain, marketing subdomain, and parked domain can sit under one operational view while client-style separation stays available for MSP use. Enterprise teams get clearer owner handoff when Microsoft 365, Google Workspace, SendGrid, Mailchimp, and the support desk all need separate remediation paths.
What each tool feels like after 90 days of real use
Open-DMARC-Analyzer
Best for teams that already run the DMARC data pipeline
After 90 days, Open-DMARC-Analyzer felt useful when we wanted to inspect report data directly. The primary corporate domain and marketing subdomain produced enough volume to test date filters, dispositions, and authentication outcomes, while the parked domain made it easy to see whether unexpected mail appeared. The controlled spoof sample was visible, and the SPF and DKIM pass cases with DMARC domain match were clear once imports were working.
The operational cost was everything around the tool. We had to maintain the parser path, database, web app, access control, and our own sender naming notes. The unknown sender was never resolved by the product itself, and the forwarded SPF failure needed a written explanation so the team did not treat it like a spoofing event.
Where it wins
$0 software licensing for self-hosting
Report rows kept SPF and DKIM detail visible
Date filters helped isolate the spoof sample
Corporate and marketing domains stayed separate
Where it lags
Parser and database upkeep stayed outside the UI
Unknown sender classification was manual
No native alert routing emerged in testing
No hosted SPF, DMARC, or MTA-STS
Pricing
$0 software license
Free tier
Yes
Onboarding
Manual self-hosted setup
G2 rating
0 / 5
Pricing
Open-DMARC-Analyzer
Suped
Small
1 domain, up to 1k emails / month.
$0
The software has no license fee, but server, database, parser, backups, and staff time still apply.
$0 / month
Free plan covers 1 domain and 1,000 monthly emails.
Medium
2 domains, up to 100k emails / month.
$0
No public volume cap was found; practical limits depend on infrastructure and maintenance.
Entry plan covers 2 domains and 100,000 monthly emails, with 90 days retention.
Large
10 domains, up to 1 million emails / month.
$0
No paid tier unlocks 10 domains or higher report volume; scaling depends on the self-hosted stack.
10 domains and 1,000,000 monthly emails, with 365 days retention.
Enterprise
Over 20 domains and 1 million emails / month.
Not publicly listed as of May 15, 2026
No public enterprise SLA, managed hosting plan, or paid support tier was found.
20 domains and 2,500,000 monthly emails, with 365 days retention. Unlimited domains/emails negotiable.
Open-DMARC-Analyzer software licensing is public at $0. Infrastructure, storage, backups, parser operations, and staff time are estimates that depend on the buyer's environment. Pricing was checked as of May 15, 2026.
Why Suped wins over Open-DMARC-Analyzer
Suped
Get started
Unknown sender triage
Open-DMARC-Analyzer showed the unknown sender in aggregate data, but classification stayed manual; Suped turns that source into an owner, status, and fix path.
Forwarding noise control
The forwarded mail SPF failure needed manual explanation in the self-hosted view; Suped separates forwarding patterns from unauthorized spoofing so alerts stay actionable.
Operational handoff
The test needed parser upkeep, DNS handoff notes, and recurring client-style reports outside Open-DMARC-Analyzer; Suped keeps those workflows inside the platform.
The difference was significant. We moved from limited visibility to a much clearer dashboard. Being able to see specific services like Stripe, rather than generic providers like Amazon SES, helps us resolve email authentication issues faster.
Markus Hugenschmidt, Managing Director, Jam Cyber
Migrating from Open-DMARC-Analyzer?
We have done the migration enough times to know the shape.
Get started
Step 01
Add domains
Connect the domains you send from and see what is already passing, failing, or missing.
Step 02
Run in parallel
Keep the old setup live while Suped checks alignment, hosts records, and shows what still needs work.
Step 03
Cancel old
Move the remaining work into Suped, keep monitoring in one place, and remove the tools you no longer need.
