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Google Vertex AI vs. Manatal

Elaborado a partir del registro investigado y revisado de cada herramienta. Las cifras se contrastan con las páginas públicas de precios en el momento de la investigación — confirma siempre el precio actual con el proveedor antes de comprar.

La versión corta

Google Vertex AI parte de Free por usuario, frente a Manatal con $15. Google Vertex AI tiene la valoración agregada más alta (9.6/5 frente a 4.8/5).

Comparación completa

Google Vertex AIdesde Free
Manataldesde $15 per seat/month, billed annually
Audyense Score29AS*Bajo75ASSólido
PosicionamientoGoogle Vertex AI is a powerful platform that signifies Google’s unwavering commitment to advancing the field of artificial intelligence.AI-powered recruiting CRM and ATS for agencies and lean hiring teams
Plan gratuitoSíNo
ImplementaciónNube / SaaSNube / SaaS
Mejor encajeStartup, PYME, Mediana empresaStartup, PYME, Mediana empresa
Planes de precio
  • Free or entry planFree
  • Higher tiersCustom pricing
  • Professional$15
  • Enterprise$35
  • Enterprise Plus$55
  • CustomCustom pricing
AutoML CapabilitiesSíDocumented in the independently researched profile.—
Custom Model DevelopmentSíDocumented in the independently researched profile.—
Pre-built ModelsSíDocumented in the independently researched profile.—
Model Deployment and MonitoringSíDocumented in the independently researched profile.—
Model Versioning and ManagementSíDocumented in the independently researched profile.—
Real-time PredictionsSíDocumented in the independently researched profile.—
Custom Training ContainersSíDocumented in the independently researched profile.—
Multi-Cloud DeploymentSíDocumented in the independently researched profile.—
AI ExplanationsSíDocumented in the independently researched profile.—
Data Labeling Services IntegrationSíDocumented in the independently researched profile.—
Jupyter NotebooksSíDocumented in the independently researched profile.—
AI for Multiple Data TypesSíDocumented in the independently researched profile.—
Model Hyperparameter TuningSíDocumented in the independently researched profile.—
Custom Training Jobs.SíDocumented in the independently researched profile.—
Public API—SíManatal Open API listed as an Enterprise Plus feature
AI features—SíAI candidate enrichment, AI match recommendations, and an AI Interviewer for async video screening
Applicant tracking (ATS)—SíCore product: custom pipelines, Kanban view, career pages
Benefits administration—NoNot an HRIS; agency/recruiting-focused with no benefits module
Employee directory & org chart—NoNo internal employee directory; product is candidate/pipeline-centric
Mobile app—ParcialProgressive web app (PWA) for iOS/Android, not a confirmed native app-store app
Employee onboarding—ParcialTracks onboarding milestones on candidate/placement records, not a full onboarding workflow
Payroll—NoNo payroll processing
Performance reviews—NoNo performance management module
Reporting & dashboards—SíStandard analytics plus an Advanced Report Builder on Enterprise Plus
Time-off & PTO management—NoNot part of the product; recruiting CRM/ATS only
Integraciones verificadas—13+
Valoración agregada9.6 · No reviews yet4.8 · 147 reviews
Integraciones—
IndeedLinkedInMonsterZipRecruiterTalent.comGoogle for Jobs+7 más
Seguridad y cumplimiento—
SOC 2 Type IIGDPRCCPAPDPA
Pros
  • Independent review documents a concrete business workflow
  • Documented capability: AutoML Capabilities
  • Documented capability: Custom Model Development
  • Documented capability: Pre-built Models
  • Documented capability: Model Deployment and Monitoring
  • Smooth, low-bug software with straightforward pipeline management
  • Strong multi-job-board posting, letting recruiters post to a dozen-plus boards in one action
  • AI candidate enrichment and a LinkedIn-sourcing Chrome extension that work well for headhunting
  • Responsive, well-regarded customer support and onboarding training
Contras
  • Pricing and usage limits should be checked against the exact plan
  • Implementation effort depends on the team's data and process maturity
  • Reported outcomes should be validated with the buyer's own data
  • AI match-percentage scores are inconsistent and do not always reflect actual job fit
  • Reporting and search functionality are limited, with no built-in sourcing database
  • Some users report platform reliability issues and resume-import friction from Indeed
  • Career page customization is limited, with only a few templates and no image-format resume parsing for JPEGs
Visitar Google Vertex AI ↗Visitar Manatal ↗

Lectura editorial de la comparación

La tabla resume los datos estructurados; esta sección explica cómo interpretar las diferencias para una decisión de compra real.

Encaje y límites de cada herramienta

Google Vertex AI

Google Vertex AI is a powerful platform that signifies Google’s unwavering commitment to advancing the field of artificial intelligence. It’s designed to simplify and optimize the entire process of building and deploying machine learning models, making AI accessible to a broader range of users while also providing tools for experts to create customized solutions. This platform offers a unified environment where data preparation, model development, and model deployment are seamlessly integrated, offering a holistic approach to AI development. One of the standout features of Google Vertex AI is its AutoML capabilities. These tools cater to users with varying levels of expertise, allowing them to build AI models without the need for deep technical knowledge. Whether it’s image recognition, natural language processing, or structured data analysis, AutoML simplifies model creation, democratizing AI by empowering business professionals and data enthusiasts to harness its power. For those with more specialized needs, Google Vertex AI supports custom model development. It enables data scientists and machine learning engineers to work with popular deep learning frameworks such as TensorFlow and PyTorch, providing a high degree of flexibility to craft models tailored to specific use cases. This duality in approach, accommodating both novices and experts, makes Vertex AI an inclusive platform that can cater to diverse user profiles. Vertex AI’s seamless integration with other Google Cloud services is another noteworthy feature. This integration guarantees scalability and reliability, as organizations can tap into Google Cloud’s robust infrastructure, data storage, and analytics tools. As AI solutions grow in complexity and data volumes increase, this cohesive environment ensures that AI models can evolve to meet the demands of real-world application

Encaja especialmente con: B2B teams evaluating HR and People software Teams that need documented workflow capabilities and fit guidance Organizations willing to validate implementation and plan limits

Puede no encajar si: Teams seeking a workflow outside the product's documented focus Teams needing unlimited usage without plan limits

Manatal

Manatal is an applicant tracking system and recruitment CRM built for recruitment agencies and small-to-mid-sized internal talent-acquisition teams. It combines multi-job-board posting, AI-driven candidate enrichment and matching, and pipeline/CRM tracking in one interface, letting recruiters post to a dozen-plus job boards in a single action and manage candidates from sourcing through placement.

Encaja especialmente con: Recruitment agencies and headhunting firms running high volumes of multi-client, multi-job-board postings SMB-to-mid-market internal talent acquisition teams that want an affordable, easy-to-learn ATS with AI-assisted sourcing Teams that want a built-in recruitment CRM for pipeline and client tracking rather than stitching an ATS to a separate CRM

Puede no encajar si: Organizations needing accurate, audit-grade AI match scoring for compliance-sensitive screening Enterprises needing deep, customizable reporting or a large built-in sourcing database out of the box

Precios y estructura de planes

Google Vertex AI: Precio inicial publicado Free

  • Free or entry planFree
  • Higher tiersCustom pricing

Manatal: Precio inicial publicado $15 per seat/month, billed annually

  • Professional$15 per seat/month, billed annually ($19/mo billed monthly)
  • Enterprise$35 per seat/month, billed annually ($39/mo billed monthly)
  • Enterprise Plus$55 per seat/month, billed annually ($59/mo billed monthly)
  • CustomCustom pricing

Capacidades que conviene validar

  • Google Vertex AI: AutoML Capabilities, Custom Model Development, Pre-built Models, Model Deployment and Monitoring, Model Versioning and Management
  • Manatal: Public API, AI features, Applicant tracking (ATS), Mobile app, Employee onboarding Integrations include Indeed, LinkedIn, Monster, ZipRecruiter.

Preguntas antes de cambiar

  • ¿El plan de Google Vertex AI incluye las funciones y límites que necesitamos?
  • ¿El plan de Manatal incluye las funciones y límites que necesitamos?
  • Does the exact integration path for Indeed, LinkedIn, Monster support the sync direction, permissions, and volume we need?
  • Is a hosted-only deployment acceptable for the team and customers who will use this system?

Cómo evaluar esta lista corta

Una comparación útil convierte las diferencias de RR. HH. y Personas en una prueba concreta. Usa estos pasos para evitar elegir por una tabla de funciones o por el precio más bajo.

  1. Empieza con un flujo de trabajo representativo de RR. HH. y Personas, no con una lista de funciones. Define quién lo usará, qué datos entran y qué resultado debe producir.
  2. Prueba el recorrido completo con Indeed, LinkedIn, Monster: permisos, dirección de sincronización, errores y límites de volumen suelen importar más que el nombre de una integración.
  3. Compara el coste del escenario real, incluidos usuarios, uso, almacenamiento, soporte y cualquier requisito de contrato. El precio inicial por sí solo no mide el coste de adopción.
  4. Antes de cambiar, registra qué evidencia falta, pide una demostración del flujo crítico y confirma seguridad, residencia de datos, exportación y soporte con cada proveedor.

Las señales estructuradas ayudan a reducir la lista, pero una prueba con un flujo real sigue siendo la mejor forma de validar la decisión.

Base de investigación

Última comprobación: 2026-08-18. Pricing, integrations, feature support, and review signals can change, so treat this as a research snapshot and verify the final decision with the vendor.

Fuentes consultadas: Google Vertex AI product site, FinancesOnline review, Vendor website; Manatal product site, G2, Capterra