Deskpro vs Vivantio: Helpdesk Software Comparison 2026
Deskpro and Vivantio 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.
Quick verdict
Deskpro is usually a stronger fit for SMB, IT / ITSM teams that value On-premise, Flexible, Compliance. Vivantio is usually a stronger fit for Mid-market teams that value B2B, ESM, ITSM. On listed starting price, Deskpro appears more affordable, but final cost depends on seats, add-ons, AI usage, support channels, and implementation scope.
Pricing comparison
Deskpro starts at from $29/agent/mo, while Vivantio starts at from $42/agent/mo. Treat this as a starting point, not a full total cost estimate. Real pricing can change with agent count, AI features, phone or messaging channels, advanced reporting, implementation, marketplace apps, and data migration needs.
| Factor | Deskpro | Vivantio |
|---|---|---|
| Starting price | from $29/agent/mo | from $42/agent/mo |
| G2 rating | 4.3 | 4.3 |
| Best fit | SMB, IT / ITSM | Mid-market |
| Founded | 2001 | 2003 |
| HQ | London, UK | Boston, USA |
| Customers | 3,000+ | Unknown |
| Known clients | Twitch, Sky, Vodafone, European Commission | B2B service companies and IT teams |
AI and automation
Deskpro
Basic AI - auto-routing and response suggestions.
Vivantio
Basic AI routing and ticket classification.
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
Deskpro is commonly evaluated by teams that need On-premise, Flexible, Compliance. Vivantio is commonly evaluated by teams that need B2B, ESM, ITSM. Before choosing, check native integrations for your CRM, ecommerce platform, chat tools, telephony, BI stack, identity provider, and data warehouse.
When to choose Deskpro
Choose Deskpro when its pricing model, workflow depth, and operational fit match your team better than Vivantio. It may be the better option if the following strengths are central to your support strategy:
- On-premise and cloud options
- Highly flexible
- Good for compliance sectors
Watch out for these limitations before committing:
- UI is dated
- Smaller community
- Less AI than modern tools
When to choose Vivantio
Choose Vivantio when its ecosystem, product direction, and implementation model are a better fit for your team than Deskpro. It may be the better option if these strengths matter most:
- B2B customer service focus
- Flexible
- ESM capabilities
Check these trade-offs carefully before rollout:
- Learning curve
- Less known
- UI is dated
Migration considerations
If you are moving from Deskpro to Vivantio, or from Vivantio to Deskpro, 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.
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. Deskpro can be better for some teams, while Vivantio 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, Deskpro is cheaper at entry level. However, total cost depends on add-ons, AI usage, number of agents, support channels, and implementation work.