Mautic vs Dittofeed

Mautic suits teams running contact-based campaigns on PHP and MySQL. Dittofeed suits engineering-led teams sending event-driven journeys over email, SMS, push, WhatsApp and Slack.

On this page

Choose Mautic or Dittofeed based on who owns the customer data and the journey logic

If your marketing operations team runs campaigns from a contact database and wants lead scoring, forms and a campaign builder under its own control, shortlist Mautic. If your engineers want journeys triggered by product and customer events, with messaging defined in code and reviewed through git, shortlist Dittofeed. Both are open source and both can be self-hosted, so the choice is less about features on a comparison sheet and more about which team will own the data, the logic and the on-call burden after launch. Mautic is GPL-3.0 and Dittofeed is MIT licensed, a difference that matters mainly if you plan to modify and redistribute the software, so confirm the license terms with your legal team for your specific use.

The decision turns on three questions. First, where contact data lives: Mautic keeps its own contact store and segments, while Dittofeed takes user data from Segment, reverse ETL or its API and expects your warehouse or event pipeline to be the source of truth. Second, which channels you need on day one: Dittofeed covers email, mobile push, SMS, WhatsApp and Slack, and it integrates with email service providers such as SendGrid and Amazon SES rather than sending mail itself, so confirm your provider and sending domains early. Third, how much event tracking your team can build and maintain. Dittofeed journeys are only as good as the events you emit, so budget engineering time for instrumentation, identity resolution and testing. Mautic depends on scheduled cron jobs for segment and campaign updates, which the docs say should be staggered, so plan for an operations owner who can monitor them.

Which scenario points to Mautic and which to Dittofeed

This table maps common team situations to the platform that usually fits better and the condition that decides it. Read each row against your own contact volume, channels, and engineering capacity, since the right answer often changes with one of those factors. Neither platform is the better choice across all rows.

ScenarioBetter fitCondition that drives the choice
Marketing team running segmented newsletters and lead scoringMauticMautic is built around contacts, segments, points and campaign builders that marketing operators can manage without writing code. Choose Dittofeed here only if the newsletter logic is driven by product events held in your own data pipeline.
Product team triggering messages from in-app eventsDittofeedDittofeed's journeys start from user events fed by Segment, reverse ETL or its API, so product behavior maps directly to messages. Mautic can receive events, but its model centers on contacts and campaigns, so event plumbing takes more custom work.
Team needing WhatsApp or Slack messagesDittofeedDittofeed lists WhatsApp, Slack and mobile push among its channels, alongside email and SMS. Confirm which channel providers your region and account need, since channel support is provider-dependent.
Team already storing contacts in a CRMDepends on who owns the contact recordIf the CRM is the system of record, check whether Mautic's CRM plugins (such as HubSpot or Salesforce) cover the sync direction and fields you need. Dittofeed reads user data from its inputs and has no native CRM-as-master model, so confirm sync design before choosing it.
Team with no in-house engineersMauticMautic runs as a PHP and MySQL or MariaDB application with cron jobs and a queue consumer, which a sysadmin or managed partner can operate. Dittofeed requires an event pipeline, a Docker or Helm deployment and git-based campaign workflows, which assume developer ownership.
Organization that must keep personal data inside its own VPCEither, with a different hosting planBoth are self-hosted, so data location depends on your deployment design rather than the product. Dittofeed states that self-hosting keeps sensitive data in your VPC, and Mautic should run on a VPS or dedicated server, not shared hosting.
Team that wants campaigns versioned and tested in CIDittofeedDittofeed provides branch-based git workflows, templates kept in git and a testing SDK for CI. Mautic campaigns are managed in its interface, so equivalent review and testing needs custom process.
Team that needs a stable release to plan aroundMauticMautic publishes a stated cadence of monthly patches, quarterly minors and two-year majors, with named support windows. Dittofeed's recent GitHub releases are pre-release tags, so confirm its production-readiness and upgrade policy before committing.

How Mautic and Dittofeed are built and what each means for operations

Mautic runs as a PHP application that depends on scheduled jobs, while Dittofeed runs as an event-driven service that depends on the data pipeline feeding it. The cards below set out where each design places operational work, so teams can match the platform to who will watch the schedules, the events and the infrastructure.

Mautic's PHP and Symfony stack

Mautic is written in PHP on the Symfony framework and stores its data in MySQL or MariaDB. Your team needs people who can patch and tune a LAMP-style application, manage database backups and keep PHP versions within the range each Mautic release supports. Check the supported PHP and database versions for your target release before you plan the server build, and confirm who owns PHP upgrades when a new major release arrives.

Cron-driven segments and campaigns

Mautic relies on cron jobs to update segments, update campaigns and trigger campaign steps, and the documentation says these jobs should be staggered. A missed or overlapping job delays contact segmentation and campaign sends without an obvious error on the homepage. Someone on the operations side must own job monitoring, alerting and the schedule, and must know that a broadcasts command and a messenger consumer also run when email is queued.

VPS or dedicated server hosting

The Mautic project advises against shared hosting and recommends a VPS or dedicated server. This makes hosting a planned infrastructure decision with its own cost, patching and capacity work, not a cheap add-on to an existing website host. Ask whether your cloud or data center team can provision, back up and restore the server, and whether the queue and cron workers will run on the same machine or separate ones.

Dittofeed's event-driven journeys

Dittofeed takes user data from Segment, reverse ETL or its API, builds segments with multiple operators and then sends one-off broadcasts or automated journeys. Operations centers on the event stream rather than on a schedule, so the first question is which system is the source of truth for user events and who owns the schema. Confirm how your product and data teams will publish events before you design journeys around them.

Docker Compose and Render deployment

Dittofeed documents Docker Compose and Render deployments, which suit teams that want a small, self-contained stack to evaluate or run on a single host. Your platform team still owns the database, the container host, TLS, secrets and backups. Ask who will maintain the Compose files and how upgrades will be tested, given that the project's recent GitHub releases are pre-release tags.

Helm charts for Kubernetes

Dittofeed publishes Helm charts in its repository, which matters if your platform already runs Kubernetes and expects workloads to follow cluster policy. Chart values, resource limits, ingress and secret handling become your responsibility, along with the pipeline that brings events in. Confirm with your platform team whether your clusters can run the stack and whether your security team accepts the chart's default configuration.

Feature claims for Mautic and Dittofeed, using supplied facts only

This table compares the capabilities we can state from researched sources for Mautic and Dittofeed, covering license, channels, data input, template design, version control and release status. Where a capability is not supplied, the cell tells you what to confirm in the vendor documentation before you shortlist either platform.

CapabilityMauticDittofeed
LicenseGPL-3.0 for the GitHub repository, with no paid edition of the software itselfMIT licensed, described by the project as free forever
Primary campaign modelContact-centric campaigns built around segments, campaign updates and triggersEvent-driven user journeys and one-off broadcasts triggered by user data
ChannelsEmail-centric campaign tooling; confirm SMS, push and other channel support in the Mautic docsEmail, mobile push, SMS, WhatsApp and Slack, per the project's repository
Data inputContacts and segments managed inside Mautic; confirm available import and integration paths in the docsSegment, reverse ETL or the Dittofeed API; segments built with multiple operators
Email sendingSends from its own configured mail transport; confirm sending infrastructure in your environmentIntegrates with providers such as SendGrid and Amazon SES rather than sending email itself
Template designConfirm template editing options in the current Mautic docsHTML, MJML or a low-code editor
Version control and testingConfirm whether campaign assets can be kept under version control in your setupBranch-based git workflows, email templates kept in git, and a testing SDK for checking campaigns in CI
Release cadence and supportMonthly patch releases, minor releases every three months and major releases every two years; Mautic 7.3 is planned as the LTS release with security support through 31 December 2027Recent GitHub releases are pre-release tags, with v0.24.0-alpha.21 published on October 4, 2026

What the license and editions mean for each platform

Mautic is released under the GNU General Public License version 3, which governs how you may copy, modify and redistribute the code. For most self-hosting teams, the practical question is less about the license text and more about who sells what around it. The project describes itself as community-owned with no commercial entity behind it, and MAUTIC is a trademark of the Mautic project within the Open Source Collective.

  • No paid edition of the software: The software itself has no paid tier. The project offers the free self-hosted download and does not charge for the code.
  • Managed and hosting services are sold separately: mautic.org promotes managed Mautic and hosting services from separate providers. A managed contract covers operations and hosting, and the code stays the same. Ask each provider exactly what is included.
  • GPL terms apply when you distribute: Internal use of an unmodified copy does not trigger distribution duties. If you modify the code and give copies to others, GPL-3.0 obligations apply, so have counsel confirm your case.
  • Trademark use is a separate question: Running a branded service or distributing a modified build under the MAUTIC name needs a check with the project before you publish.

Before committing, read the LICENSE file in the repository you deploy from and the current statement on the project's about page.

How much engineering event tracking adds to a Dittofeed project

Dittofeed journeys are only as good as the user and event data behind them, so the engineering effort in a Dittofeed project sits mostly in event tracking. Before the first journey runs, your team must define which events matter (sign-up, purchase, plan change, consent update), decide which identifier ties each event to a user across systems, and agree a payload shape that every producer follows. Dittofeed takes this data from Segment, reverse ETL or the Dittofeed API, so the same event name and property types must hold whichever path it travels. A renamed field or a missing user identifier will not fail loudly; it will quietly remove people from a segment or send a message at the wrong moment.

Mautic works from a contact-first model. Contacts arrive through imports, marketing forms, tracked landing pages and integrations, and campaigns act on the contact record and its fields, points and segment membership. Much of the data work is therefore one-time mapping of fields and deduplication of contacts, plus keeping integration mappings current. Dittofeed's work is continuous and sits closer to your product codebase: every new product feature may need a new event, and every event needs an owner who can answer for its schema. Mautic's ongoing load is closer to list hygiene and cron health, which are covered elsewhere on this page.

Estimate this effort from your own event catalog rather than from any general figure. Count the events each planned journey needs, list the producers that emit them, and note which identifiers each producer already sends. Then ask who will own schema changes, how changes are tested before release (Dittofeed's testing SDK for CI is one option to evaluate), and how contract drift will be detected. Confirm these points with Dittofeed's GitHub repository and your own engineers, since the project's current releases are pre-release tags.

What drives the running cost of each platform

Running cost for Mautic and Dittofeed comes from the servers and workers you operate, the skills your team needs to keep them healthy, the support you buy, and how often you must upgrade. Provider fees for email, SMS, push and WhatsApp are paid to third parties on top of either platform, and no figures are supplied here for either one, so use the checks below to build a comparable quote.

Server, database and worker footprint

Mautic is a PHP application on MySQL or MariaDB that the project says should not run on shared hosting, so you size a VPS or dedicated server for the web tier and database. It also depends on cron jobs for segment updates, campaign updates and campaign triggers, plus a broadcasts command and a messenger consumer when email is queued. Each of these processes needs scheduling and monitoring. Dittofeed runs as containers deployed with Docker Compose, Render or Helm, and its real per-message cost sits with the email, SMS and push providers it calls. Ask the implementer to model worker count, database growth and provider volume separately.

Skills your team already has

Running Mautic means administering PHP, Symfony-based application settings, MySQL or MariaDB with InnoDB, a web server, and npm for builds from Mautic 5.0 onward. Teams with a LAMP background can usually cover this in-house. Dittofeed asks for Node-style service operation, container orchestration and event engineering, because user data arrives from Segment, reverse ETL or its API and must be mapped correctly. Event tracking quality often costs more than hosting. Check whether your staff already run these stacks in production, and price training or contractor time for the gaps.

Support models and who you pay

Mautic is free to self-host, has no paid edition of the software, and has community support, with managed Mautic and hosting offered separately by others. Dittofeed is MIT licensed and describes itself as free forever, so any support contract is optional. Fixed-scope implementation work and ongoing retainers from implementation partners such as DeployOpen are priced from a written scope, not a published list. Ask each option for its response expectations, who holds on-call duty, and whether upgrades and backups are included or billed separately.

Upgrade cadence and effort

Mautic publishes monthly patch releases, minor releases every three months and major releases every two years, and each line has its own security support window. Upgrades therefore recur on a predictable calendar, and budgets should include testing campaigns, plugins and custom code against each release. Dittofeed's recent GitHub releases are pre-release tags, so a production Dittofeed install means tracking alpha changes and pinning versions carefully. Ask each party how often they expect to upgrade, how they test before each change, and how rollback is handled.

How to move from Mautic to Dittofeed or the reverse

The sequence separates what can be carried across, such as contacts, consent and provider configuration, from what must be rebuilt, such as campaign logic, so that the target system sends the same messages to the same people before any sending domain changes hands. Because the two data models differ, campaigns are rebuilt in the target rather than exported.

  1. Inventory contacts, segments, campaigns and channels

    The migration lead and a marketing operations owner list every contact source, every segment and its filter logic, every active campaign with its entry rules and steps, and every channel in use, such as email, SMS, push, WhatsApp or Slack. Contact records and simple segment definitions can be extracted as data from Mautic, but segment logic and campaign flows must be documented by hand because they do not map one to one. The step closes when the team has a signed inventory that marks each item as transferable, partly transferable or rebuild only.

  2. Decide which contact data becomes events

    The data owner and an engineer decide which Mautic contact fields and activity records should exist in Dittofeed as user traits and events. Mautic stores contact-centric profiles and points activity against them, while Dittofeed triggers journeys from events and user data sent through Segment, reverse ETL or its API. Historical activity may need to be replayed as events, or kept only in the source system for reporting. The step closes with a written event schema and a list of fields that will be dropped or archived, reviewed by the team that owns analytics.

  3. Map consent and suppression records

    The privacy or compliance owner maps every opt-in, opt-out, bounce, unsubscribe and do-not-contact flag from Mautic into the equivalent state in the target, channel by channel. Suppression lists are the one data set that should move in full and be verified before any message is sent from the new platform, because a missed unsubscribe is harder to undo than a late campaign. Consent evidence, such as the source and timestamp of an opt-in, should be kept in an archive the organization controls. The step closes when a reconciliation count shows that every suppressed address is suppressed in the target.

  4. Rebuild journeys and templates in the target model

    Marketing operations and an engineer rebuild each campaign as a journey in Dittofeed or as a Mautic campaign, using the target's trigger, branching and wait logic. Email templates can be recreated from HTML or MJML in Dittofeed, or kept in git for version control, while Mautic templates are rebuilt in its own editor. Expect to rewrite conditions, scoring rules and integration hooks rather than copy them, since the two systems express campaign logic differently. The step closes when each rebuilt journey has a test contact path and a reviewer has signed off on the message content and branching.

  5. Run both platforms in parallel for a test period

    Operations runs the rebuilt journeys in the target against a test audience while the source keeps sending to live contacts, with the same messages checked in both. Dittofeed offers a testing SDK for checking campaigns in CI, which helps the team confirm journey logic before release, but it does not replace a live comparison of delivery, timing and suppression behavior. The test period should be long enough to cover each trigger type at least once, and its length should be agreed in writing with the team that owns sending. The step closes when discrepancies are logged, resolved and re-tested.

  6. Cut over sending domains and providers

    The infrastructure owner moves sending to the target one channel at a time, starting with the lowest-risk campaign. Dittofeed integrates with email service providers such as SendGrid and Amazon SES and does not send mail itself, so the existing provider account, sending domain, DNS records and bounce handling must be confirmed or reconfigured before cutover. Mautic relies on cron jobs for segments, campaigns and triggers, plus a messenger consumer when emails are queued, and those jobs must be switched off on the source once it stops sending. The step closes when the source has no active sends, its scheduled jobs are disabled, and the team has a documented rollback path.

Where Mautic and Dittofeed implementation projects usually run long

Mautic projects usually slip at the server and scheduling layer before anyone touches a campaign. The Mautic requirements page says Mautic should not be installed on shared hosting and recommends a VPS or dedicated server instead, so a team that starts on the wrong host will rebuild the environment mid-project. Confirm the PHP and database versions against the release you pick: Mautic 7.0 supports PHP 8.2 to 8.5 and needs MySQL 5.7 or higher with InnoDB, or MariaDB 10.2 or higher. Scheduling is the second common slip. Segment updates, campaign updates and campaign triggers run on cron, the docs say these jobs should be staggered, and email sends depend on the broadcasts command and a messenger consumer once mail is queued. Each of these is a separate process to configure, monitor and test under load.

On the CRM side, the Mautic HubSpot plugin and Salesforce plugin docs describe sync configuration that depends on how your contact, company and lifecycle fields are already mapped. Ask the implementer to document field mappings, sync direction and duplicate handling in writing before build starts, because those decisions are the usual source of rework. For Dittofeed, the largest slip is the event schema. Journeys are driven by user events from Segment, reverse ETL or the Dittofeed API, so every event name, property and identifier has to be agreed across product and data teams before journeys are designed. Provider configuration for SendGrid, Amazon SES, SMS, WhatsApp, push and Slack is another separate workstream, and each needs its own credentials, sender verification and test sends. Dittofeed also carries two risks that do not exist in Mautic. Its CI testing SDK and git-based template workflow are useful, but building that pipeline is engineering work that should be scoped separately from the journeys themselves. The project's recent GitHub releases are pre-release tags, with v0.24.0-alpha.21 published on October 4, 2026, so plan to pin a specific version, test upgrades in staging, and confirm with the maintainers which release line your deployment will follow. Ask for scope, deliverables, acceptance tests and a named version in writing before work starts, and agree who owns upgrades after go-live.

Questions buyers ask before choosing Mautic or Dittofeed

Does Mautic or Dittofeed cost less to run after installation?

Neither self-hosted option carries a software license fee: Mautic is GPL-3.0 with no paid edition of the software, and Dittofeed is MIT licensed. Your running cost comes from hosting, the email or messaging providers you pay, staff time and any external support. Mautic needs a VPS or dedicated server, since the project advises against shared hosting, and it also needs cron jobs and a messenger consumer running. Dittofeed says self-hosting avoids volume-based pricing, but you still pay your email provider, such as SendGrid or Amazon SES, for sending. Ask any vendor or partner for a quote built on your contact volume, channels, hosting footprint and the people who will patch and upgrade the system.

How long does a self-hosted Mautic or Dittofeed install take?

The supplied information does not give a duration for either platform, so treat any figure you hear with caution. The time depends on your infrastructure, the number of integrations, data migration, email domain setup and how many environments you need. Mautic can be installed from the production package with the web or command-line installer, through Composer using the recommended project template, or from GitHub for local development. Dittofeed documents Docker Compose and Render deployments and ships Helm charts in its repository. Most engagements at DeployOpen are fixed-scope, so the timeline is agreed in writing before work starts, based on the scope you define.

Can a marketing team run Dittofeed without developers?

A marketing team can design messages, since Dittofeed offers HTML, MJML and a low-code template editor. The wider workflow is engineering work, though. Dittofeed takes user data from Segment, reverse ETL or its API, and it supports branch-based git workflows, email templates kept in git and a testing SDK for checking campaigns in CI. Someone must connect the data source, configure the email provider and maintain the deployment. Mautic's contact-centric campaign interface is closer to what many marketing operators expect, but it still requires a server administrator for cron jobs, PHP and database upkeep. Decide which tasks your marketers will own and which engineers will support before choosing.

Can Mautic send WhatsApp or Slack messages natively?

Do not assume it can. The supplied information covers Mautic's architecture, requirements and cron jobs, but it does not confirm native WhatsApp or Slack sending in any Mautic version. Dittofeed's documented channels include email, mobile push, SMS, WhatsApp and Slack, which is one reason teams compare the two. If WhatsApp or Slack matter to your program, confirm with the Mautic project which channels a given release supports out of the box, which ones depend on a plugin, and which would need custom integration work. Ask for that written answer for your target version before you commit to a platform. Plugin maintenance then becomes part of the ongoing effort.

How do cron jobs affect Mautic campaign timing?

Mautic relies on cron jobs to update segments, update campaigns and trigger campaign steps, and the Mautic documentation advises staggering these jobs. If cron runs late, stops, or overlaps poorly with other jobs, contacts can reach a campaign step later than your schedule expects. Segment emails depend on a broadcasts command, and queued emails need a messenger consumer running. Monitor those processes, set alerts for failures and keep the server clock and PHP environment stable. Dittofeed works from event-driven journeys, so the timing model differs. Ask your implementation partner to document the cron schedule, the worker processes and the failure alerting as deliverables.

Is Dittofeed ready for production given its pre-release tags?

Dittofeed's recent GitHub releases are pre-release tags, and the latest one in the supplied information is v0.24.0-alpha.21, published on October 4, 2026. A pre-release tag signals that the project does not present that build as a stable production release, so you should treat production use as a decision with added risk. Check the release notes for the exact tag you plan to deploy, test upgrades between alpha builds, and confirm with the Dittofeed maintainers what they support for production. Mautic publishes a support calendar: 7.2 has security support until September 30, 2026, and 7.3 is planned as the long-term support release with security support through December 31, 2027.

What does a self-hosted marketing platform need from our own team?

Your team needs ownership of the infrastructure, the sending domains and the data. For Mautic, that means PHP, MySQL with InnoDB or MariaDB, a web server, cron and queue workers, backups and version upgrades on the project's release cadence, which is monthly patches, quarterly minors and major releases every two years. For Dittofeed, it means the data pipeline from Segment or your API, the email provider account and container or Helm operations. Ongoing support, upgrades and continuous testing can be covered by a DeployOpen retainer, and implementation is typically fixed-scope. Ask what your staff must learn, what DeployOpen will document and hand over, and which tasks remain with you.

How DeployOpen helps choose, implement or migrate between them

DeployOpen helps teams decide between Mautic and Dittofeed, then plans, implements and documents the chosen platform inside the client's own cloud account, data center or air-gapped network. Work is agreed in writing before it starts, so the team knows what gets built, tested and handed over.

How we scope

  • Map which audiences need contact-centric campaigns and which need event-driven journeys across email, SMS, push, WhatsApp and Slack.
  • Document the event sources, identity data and segmentation rules the team needs before choosing a data model.
  • Agree deliverables, timelines and exclusions in writing, so the fixed scope is clear before build starts.

How we build

  • Install the chosen platform with the hosting stack your infrastructure team already runs, such as a VPS or Kubernetes cluster.
  • Configure cron jobs, queue workers or event pipelines, and check that scheduled sends behave as the design specifies.
  • Connect the email service provider, SMS or messaging channels, and CRM or data sources in a tested sequence.

How we hand over

  • Deliver architecture notes, runbooks and configuration records that describe how campaigns and journeys are operated.
  • Walk your operators through sending, monitoring, backup and upgrade procedures so the team can run the platform alone.
  • Provide a written record of tests performed and open items, so the next owner knows what was verified.

How we support

  • Offer ongoing support, upgrades and continuous testing as a retainer if your team wants DeployOpen to stay involved.
  • Plan upgrades around each platform's own release and support windows, and confirm current dates with the vendor before scheduling.
  • Ask for a quote built from the written scope, since DeployOpen does not publish a price list.

Talk to our team.

Tell us what you're working on, whether it's a deployment, an audit, a security test or a cyber range. You'll speak with an engineer who can help you scope it.

  • 30-minute call: free, with no obligation.
  • NDA on request: we can sign before you share details.
  • Clear next steps: a scope and plan after the call.