Helply / GrooveHQ vs Zammad: Helpdesk Software Comparison 2026
Helply and Zammad are both helpdesk and customer support platforms, but they are built for different operating models, budgets, and team workflows. This comparison reviews pricing, AI and automation, integrations, use cases, migration considerations, and practical buying trade-offs.
Answer-first summary
Helply vs Zammad: choose Helply if you need teams that prioritize ['ai-native b2b support platform', 'no seat-based pricing', 'outcome-based ai model']; choose Zammad if you need teams that prioritize ['open-source with genuinely modern ui', 'email, chat, twitter, facebook, phone in one place', 'agpl licensed — truly free']. Helply lists free platform / AI outcome model; Zammad lists from €7/agent/mo cloud; self-hosted free. Verify current vendor pricing and AI add-ons before budgeting.
Quick verdict
Helply is a stronger fit for teams that prioritize ['ai-native b2b support platform', 'no seat-based pricing', 'outcome-based ai model']. Zammad is a stronger fit for teams that prioritize ['open-source with genuinely modern ui', 'email, chat, twitter, facebook, phone in one place', 'agpl licensed — truly free']. Use the comparison below to check pricing source, AI scope, migration complexity, and integrations before choosing.
Brand naming and legacy search terms
Product names in helpdesk and ITSM change faster than buyer search behavior. HelpDeskPicker keeps current names and high-intent legacy names together so comparisons remain useful for users searching either version.
- Helply (formerly GrooveHQ): Helply is the current brand for the Groove + InstantDocs rebrand. Buyers may still search for Groove, GrooveHQ, Groove HQ, or GroveHQ, so the canonical Helply profile keeps these legacy names visible for search intent and migration research. Legacy terms: Groove, GrooveHQ, Groove HQ, GroveHQ.
Pricing comparison
Helply lists free platform / AI outcome model; Zammad lists from €7/agent/mo cloud; self-hosted free. Treat this as a starting point, not a full total cost estimate. Real pricing can change with seats, AI usage, channels, reporting, implementation, marketplace apps, and data migration needs.
| Factor | Helply | Zammad |
|---|---|---|
| Starting price | free platform / AI outcome model | from €7/agent/mo cloud; self-hosted free |
| G2 rating | 4.5 | 4.6 |
| Best fit | SMB | Free / open-source |
| Founded | 2011 | 2016 |
| HQ | Remote (USA) | Munich, Germany |
| Customers | 8,000+ | 10,000+ (self-hosted) |
| Known clients | Bootstrapped SaaS companies, small support teams | Government agencies, universities, and NGOs across Europe |
AI and automation
Helply
Basic — some AI reply suggestions added in recent updates.
Zammad
Zammad 7.0 (2024) introduced AI features including smart ticket suggestions and response assist. Users choose their own AI model.
For AI buying decisions, compare not only feature names but also automation limits, handoff quality, knowledge base dependency, pricing per resolution or add-on, reporting, and how much configuration your team needs before AI becomes useful.
Integrations
Helply is commonly evaluated by teams that prioritize ['ai-native b2b support platform', 'no seat-based pricing', 'outcome-based ai model']. Zammad is commonly evaluated by teams that prioritize ['open-source with genuinely modern ui', 'email, chat, twitter, facebook, phone in one place', 'agpl licensed — truly free']. Before choosing, check native integrations for your CRM, ecommerce platform, chat tools, telephony, BI stack, identity provider, and data warehouse.
When to choose Helply
Choose Helply when you need teams that prioritize ['ai-native b2b support platform', 'no seat-based pricing', 'outcome-based ai model'].
- ['AI-native B2B support platform', 'No seat-based pricing', 'Outcome-based AI model']
Check these trade-offs before rollout:
- ['Newer positioning after Groove', 'Best fit for B2B companies', 'Outcome pricing needs fit validation']
When to choose Zammad
Choose Zammad when you need teams that prioritize ['open-source with genuinely modern ui', 'email, chat, twitter, facebook, phone in one place', 'agpl licensed — truly free'].
- ['Open-source with genuinely modern UI', 'Email, chat, Twitter, Facebook, phone in one place', 'AGPL licensed — truly free']
Check these trade-offs before rollout:
- ['Self-hosting requires Linux skills', 'Cloud version is pricier', 'PostgreSQL-only from v7']
Migration considerations
If you are moving from Helply to Zammad, or from Zammad to Helply, the main challenge is usually not just ticket export. You need to plan how users, organizations, companies, comments, private notes, attachments, tags, statuses, custom fields, knowledge base articles, and record relationships will map into the new system.
Before migration, verify API limits, attachment handling, deleted or archived records, field mapping, ticket status logic, agent matching, knowledge base structure, and whether you need a delta migration close to go-live.
Review methodology and disclosure
Reviewed by Dmytro Lazarchuk, founder of Help Desk Migration. HelpDesk Picker is an independent software comparison project connected to Help Desk Migration. Some pages link to HDM migration services, but platform rankings and comparison notes are based on public product information, vendor documentation, pricing pages, and visible feature evidence. Read the methodology.
FAQ
The main difference is usually fit: pricing model, workflow depth, integrations, AI capabilities, implementation complexity, and the type of support team each product serves best.
Not universally. Helply can be better for some teams, while Zammad can be better for others. The right choice depends on your support channels, team size, budget, automation needs, and existing software stack.
Yes, in many cases you can migrate tickets, users, companies, comments, attachments, tags, custom fields, and knowledge base data. The exact scope depends on each platform's API and export/import limitations.
Based on listed starting prices, Zammad is cheaper at entry level. However, total cost depends on add-ons, AI usage, number of agents, support channels, and implementation work.