Groove vs Ivanti: Helpdesk Software Comparison 2026
Groove and Ivanti 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
Groove is usually a stronger fit for SMB teams that value Simple, Email, Small team. Ivanti is usually a stronger fit for IT / ITSM, Enterprise teams that value ITSM, Enterprise, Endpoint. Based on the available G2 rating in this dataset, Groove has the higher user rating.
Pricing comparison
Groove starts at from $12/agent/mo, while Ivanti starts at Custom pricing. 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 | Groove | Ivanti |
|---|---|---|
| Starting price | from $12/agent/mo | Custom pricing |
| G2 rating | 4.5 | 4.2 |
| Best fit | SMB | IT / ITSM, Enterprise |
| Founded | 2011 | 1985 |
| HQ | Remote (USA) | South Jordan, USA |
| Customers | 8,000+ | 40,000+ |
| Known clients | Bootstrapped SaaS companies, small support teams | Fortune 500, government agencies |
AI and automation
Groove
Basic — some AI reply suggestions added in recent updates.
Ivanti
Ivanti Neurons AI - predictive intelligence, automated remediation.
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
Groove is commonly evaluated by teams that need Simple, Email, Small team. Ivanti is commonly evaluated by teams that need ITSM, Enterprise, Endpoint. Before choosing, check native integrations for your CRM, ecommerce platform, chat tools, telephony, BI stack, identity provider, and data warehouse.
When to choose Groove
Choose Groove when its pricing model, workflow depth, and operational fit match your team better than Ivanti. It may be the better option if the following strengths are central to your support strategy:
- Simple email helpdesk
- Clean inbox UI
Watch out for these limitations before committing:
- Development seems paused
- Limited modern features
When to choose Ivanti
Choose Ivanti when its ecosystem, product direction, and implementation model are a better fit for your team than Groove. It may be the better option if these strengths matter most:
- Enterprise ITSM
- Strong endpoint management
- Good for hybrid IT
- 40k+ customers
Check these trade-offs carefully before rollout:
- Complex implementation
- Legacy feel in some modules
- Expensive
Migration considerations
If you are moving from Groove to Ivanti, or from Ivanti to Groove, 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. Groove can be better for some teams, while Ivanti 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, neither platform clearly is cheaper at entry level. However, total cost depends on add-ons, AI usage, number of agents, support channels, and implementation work.