HRMS

Migrate your Manatal data

AI-powered recruitment ATS built for small-to-mid staffing agencies and in-house HR teams, with tiered pricing that gates API access behind the top plan.

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In its favor

Why people choose Manatal

The signal that keeps Manatal on the shortlist. Sourced from G2, Capterra, and customer scoping calls.

Small teams and solo recruiters pick Manatal for its low entry price—$15/user/month on Professional with a 10,000-candidate database cap, sufficient for early-stage hiring operations.

Recruitment agencies choose Manatal for its built-in CRM features including client tracking, pipeline management, and placement revenue monitoring within a single platform.

In-house HR teams value the AI candidate scoring and recommendation engine, which surfaces passive candidates from the existing database based on job requirements.

The free 14-day trial with no credit card required lets small organizations validate the platform before committing to a paid subscription.

Multilingual support and a global 24/5 helpdesk attract international teams operating across multiple languages and time zones.

The API is locked behind the Enterprise Plus plan at $55/user/month, forcing teams with custom integrations or migration needs to pay for the highest tier just to access data programmatically.

Workflow automations are gated behind Enterprise tier—organizations relying heavily on automated candidate nurture sequences find Professional plan too limited without upgrading.

The built-in AI candidate matching fails to properly identify talent for complex or niche roles, pushing recruiters to manually source and filter candidates despite paying for AI features.

Navigation difficulty and a disorganized interface cause friction for daily users, especially when filtering large candidate databases with limited column customization.

Export limitations frustrate data portability—only one dataset can be exported at a time, exports are not enabled by default, and all timestamps appear in UTC with no timezone override.

Reasons to switch

Why people leave Manatal

The recurring reasons buyers give for replacing Manatal. Presented as facts, not knocks.

Platform scorecard

Strengths, weaknesses, and where Manatal fits

Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.

SWOT — strengths, weaknesses, and use-case fit

Strengths

Generous free tier with 10,000 candidate database cap on Professional plan at $15/user/monthBuilt-in AI candidate scoring and recommendations without requiring external toolsIntegrated recruitment CRM combining ATS and client relationship management in one platformBulk data import for Organizations via CSV or JSON with native deduplicationGlobal availability with 24/5 support and multilingual interface

Weaknesses

API access gated behind Enterprise Plus plan—organizations needing programmatic data access must pay $55/user/monthWorkflow automations require Enterprise tier minimum—Professional plan lacks automation entirelyExport function not enabled by default and requires contacting support to activateOnly one dataset exportable at a time with no batch export for the full accountNavigation and filtering limitations in the candidate database create friction for high-volume users

Where it works

Small-to-mid staffing agencies with fewer than 10 agents managing both candidate sourcing and client relationships under a single integrated CRM-ATS platform.Solo recruiters or micro-teams (1–5 users) needing a low-cost entry point at $15/user/month with AI candidate recommendations included on the Professional plan.In-house HR teams operating in multilingual environments across Asia, Europe, and North America, leveraging Manatal's 24/5 global support and multilingual interface.Recruitment operations with up to 15 active job openings and 10,000 candidate records, staying within Professional plan caps without requiring workflow automation.Agencies that prioritize passive candidate rediscovery over active sourcing, using AI scoring to surface existing database talent against new job requirements.

Where it struggles

Organizations requiring API access for programmatic data operations, custom integrations with HRIS or payroll systems, or Zapier-based automation—features locked behind $55/user/month Enterprise Plus.High-volume recruitment operations with candidate databases exceeding 10,000 records or more than 15 active job openings, where Professional plan caps create artificial constraints.Teams needing workflow automations such as automated candidate nurture sequences, stage-based email triggers, or interview scheduling integrations—gated behind Enterprise tier minimum.Midsize to large enterprises with complex, niche, or highly technical hiring requirements, where built-in AI candidate matching fails to identify qualified talent effectively.Organizations with strict data portability requirements, including bulk exports across multiple datasets, timezone-aware reporting, or GDPR-driven data residency controls—limited by one-dataset-at-a-time exports and UTC-only timestamps.

Pricing tiers

Manatal pricing overview

Manatal charges per active user per month with annual billing discounts. Professional starts at $15/user/month with a 10,000-candidate cap, Enterprise at $35/user/month removes candidate limits and adds automations, and Enterprise Plus at $55/user/month unlocks the API and SSO. A free tier with limited features is available for evaluation. Pricing scales linearly with team size, not with data volume, making larger databases on Professional relatively economical compared to per-record competitors.

Free

Tier 1 of 4

Free

What's included

Full platform access for evaluation14-day trial periodLimited candidate databaseNo job posting limits during trialEmail support

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Pricing is informational. FlitStack AI does not bill on Manatal's schedule — see our quote-based pricing →

What gets migrated

Manatal object support

Object-by-object support for Manatal migrations. Per-pair details surface during scoping.

Candidates

Fully supported

Candidates are the primary object in Manatal. We migrate all profile fields, resume documents, tags, custom fields, stage history, and activity logs. Custom fields organized under custom categories are preserved with their category structure intact.

Jobs

Fully supported

Jobs include configurable pipeline stages and assigned users. We migrate the job structure, all stage definitions, and current candidate-to-stage mappings. Note that job vacancy limits differ by plan tier.

Organizations (Clients/Departments)

Fully supported

Organizations represent clients or internal departments. Bulk import via CSV or JSON is natively supported by Manatal. We handle deduplication logic—organizations with matching names are skipped during import.

Custom Fields (on Candidates)

Mapping required

Custom fields are supported but require Admin access to create or modify. We preserve field names, data types, and values. Some legacy custom field structures may require remapping if field IDs have shifted between accounts.

Pipeline Stages

Fully supported

Pipeline stages are defined per Job. We migrate the full stage sequence, including custom stage names and ordering. Stage-to-candidate assignments are preserved at migration time.

Activity Logs

Mapping required

Activity logs capture user actions on candidates and jobs. We migrate the log entries with timestamps and actor attribution. Very high-volume activity logs may need chunking due to API pagination limits.

Attachments / Documents

Mapping required

Resume files and other attachments are referenced in candidate profiles. We migrate document metadata and file references. Binary file transfer depends on the source platform's export capabilities.

Users / Team Members

Mapping required

User accounts with roles and permissions are migrated as contact records in the destination. Manatal's internal user ID and role assignments are preserved as custom properties. SSO and User Groups are Enterprise Plus only features.

Workflow Automations

Mapping required

Workflow automations trigger on events such as stage transitions or candidate actions. We document automation rules for rebuild in the destination. Note: Automations are only available on Enterprise and Enterprise Plus plans.

Tags

Fully supported

Tags are flat label objects applied to candidates and jobs. We migrate all tag assignments preserving the tag names across the dataset.

Recruitment CRM Data (Clients, Placements, Revenue)

Mapping required

Manatal includes CRM features for agencies tracking client relationships, placements, and commission revenue. These records are migrated as custom objects or standard CRM equivalents depending on the destination platform.

Organizations Import Deduplication

Not in this platform

Manatal's native organization import skips records where the organization name already exists in the database. We handle this by deduplicating source records before generating the import file to avoid silent data loss.

Gotchas

What to watch for in Manatal migrations

Issues we've hit on past Manatal migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.

High

API access is Enterprise Plus only

High

Data export not enabled by default

Medium

Organization import deduplication by name only

Medium

Workflow automations are tier-gated and use fair usage limits

Low

Export timestamps are UTC only

How a Manatal migration works

Four steps, Manatal-specific

Connect

API key (Enterprise Plus only) into Manatal. Scopes limited to read-only on the data we move.

Map

We translate Manatal-specific structures (custom fields, objects, value lists) to the destination's model.

Sample

Test with a 50–200 record subset to validate Manatal quirks before production.

Migrate

Full migration with Manatal rate-limit handling. Rollback available throughout.

FAQ

Manatal migration FAQ

Answers to the questions buyers ask most during Manatal migration scoping. Not seeing yours? Book a call.

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Most Manatal migrations under 1M records finish in 48–72 hours end-to-end. Larger orgs with custom objects or buyer-side security review typically take 5–7 days.

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