Maktab
VS
Request Tracker (RT)

Still Running RT? Time to Upgrade.

Keep the self-hosting and control you love from RT — add AI triage, Arabic/RTL, modern ITSM, omnichannel, and a UI your team will actually use.

The Request Tracker Problem

RT is powerful, reliable, and self-hostable — but it was designed in the early 2000s and hasn't kept up with modern service management expectations.

😰
UI That Repels New Agents

RT's interface requires training weeks, not hours. New agents fight the UI instead of resolving tickets. Onboarding takes days. Modern teams expect Zendesk-level UX — RT delivers 2003-level UX.

🌐
No Arabic / RTL Support

For MENA teams, RT is a non-starter for Arabic-speaking agents and customers. No native RTL rendering, no Arabic date formatting, no Arabic email templates. Your team works around RT, not with it.

🤖
Zero AI Capabilities

RT has no AI triage, no smart reply, no sentiment analysis, no auto-categorization. Every ticket is manually read and routed. In 2026, your competitors are triaging 40% of tickets automatically.

📱
No Modern Channels

RT handles email. That's it. No WhatsApp, no Twitter/X, no Facebook, no live chat, no SMS. Multi-channel customer contact is impossible without bolting on external systems.

🔒
No SAML / SCIM / MFA

Enterprise SSO with SAML 2.0, SCIM user provisioning, and TOTP-based MFA are either absent or require heavy Perl module hacking. Enterprise IT teams hit procurement blockers immediately.

📊
No ITSM Modules

RT has no native Change Management, Problem Management, On-Call scheduling, Asset Management, or SLA calendars. ITIL-aligned teams must patch multiple systems together.

Feature-by-Feature Comparison

An honest look at what Maktab has that RT doesn't — and what they share.

Feature Maktab Request Tracker
Core Ticketing
Email-to-ticket
Custom ticket fields
SLA management with calendars
Real-time updates (WebSocket)
Bulk ticket operations Limited
User Experience
Modern responsive UI
Arabic / RTL native support
Dark mode
Client self-service portal Basic
Channels & Integrations
WhatsApp integration
Twitter/X, Facebook, Instagram
Live chat widget
REST API
Slack / Teams integration
ITSM Modules
Change Management (CAB workflow)
Problem Management
Asset Management (CMDB)
On-Call scheduling
Major Incident Management
Security & Compliance
SAML 2.0 SSO
SCIM provisioning
TOTP MFA
IP allowlist
GDPR erasure / data portability
AI & Automation
AI ticket triage & categorization
Smart reply suggestions
Sentiment analysis
Automation rules engine Scrip-based
Skill-based routing
Deployment
Self-hosted on-prem
Cloud-hosted SaaS
Modular on/off per feature
Docker / containerized Possible

Migration Path from RT to Maktab

Migrating from RT takes 2–4 weeks depending on your data volume. The process is straightforward — RT's data model maps cleanly to Maktab.

1
Export RT Data

RT's REST API or Perl CLI exports all tickets, users, queues, custom fields, and transaction history in JSON or CSV format. Maktab provides an import template.

2
Map RT Queues → Maktab Departments

RT queues map 1:1 to Maktab departments. Custom fields, priorities, and statuses map to Maktab equivalents. The Maktab import tool handles field mapping via a CSV/JSON transformer.

3
Import Users & Permissions

RT Privileged Users → Maktab Agents. RT Requestors → Maktab Client Users. Permission groups map to Maktab roles with an automated migration script.

4
Configure Email & Channels

Point your existing email ingest address to Maktab's webhook (SendGrid or Mailgun). RT's email routing rules are recreated as Maktab automation rules in under an hour.

5
Run Parallel for 2 Weeks

New tickets come into Maktab. Historical RT tickets remain readable in RT. After 2 weeks with zero regression, decommission RT. Total downtime: zero.

What You Gain Day 1

Immediately after migration, without any additional setup:

  • Modern UI — agents productive from hour 1, no training week required
  • Full Arabic / RTL rendering for all Arabic-speaking agents and clients
  • AI triage running on every new ticket — automatic categorization and priority suggestion
  • SLA calendar with business hours and holiday exclusions — no more manual SLA tracking
  • SAML 2.0 SSO — connect to your existing Okta or Azure AD same day
  • Real-time ticket updates — no page refresh needed
  • Self-hosted on your existing infrastructure — no data leaves your environment

Ready to Upgrade from RT?

Schedule a migration consultation. We'll map your RT queues, custom fields, and users in 30 minutes — and show you a working Maktab instance with your data.

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