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Side-by-side record

Google Vertex AI vs. RUN Powered by ADP

A side-by-side view of the product records we have today. Use it to narrow the question, then confirm current pricing, limits, and security details with each vendor.

The short version

Google Vertex AI starts at Free per seat, versus RUN Powered by ADP at Custom pricing. Google Vertex AI carries the higher aggregate rating (9.6/5 vs 4.7/5).

Full comparison

Google Vertex AIfrom Free
RUN Powered by ADPfrom Custom pricing
Audyense Score29AS*Low65AS*Fair
PositioningGoogle Vertex AI is a powerful platform that signifies Google’s unwavering commitment to advancing the field of artificial intelligence.Payroll, tax, and HR built for small businesses (1-49 employees)
Free tierYesNo
DeploymentCloud / SaaSCloud / SaaS
Best fitStartup, SMB, Mid-marketStartup, SMB
Pricing plans
  • Free or entry planFree
  • Higher tiersCustom pricing
  • Essential PayrollCustom pricing
  • Enhanced PayrollCustom pricing
  • Complete Payroll & HR+Custom pricing
  • HR Pro Payroll & HRCustom pricing
AutoML CapabilitiesYesDocumented in the independently researched profile.—
Custom Model DevelopmentYesDocumented in the independently researched profile.—
Pre-built ModelsYesDocumented in the independently researched profile.—
Model Deployment and MonitoringYesDocumented in the independently researched profile.—
Model Versioning and ManagementYesDocumented in the independently researched profile.—
Real-time PredictionsYesDocumented in the independently researched profile.—
Custom Training ContainersYesDocumented in the independently researched profile.—
Multi-Cloud DeploymentYesDocumented in the independently researched profile.—
AI ExplanationsYesDocumented in the independently researched profile.—
Data Labeling Services IntegrationYesDocumented in the independently researched profile.—
Jupyter NotebooksYesDocumented in the independently researched profile.—
AI for Multiple Data TypesYesDocumented in the independently researched profile.—
Model Hyperparameter TuningYesDocumented in the independently researched profile.—
Custom Training Jobs.YesDocumented in the independently researched profile.—
Public API—PartialADP offers API Central / developer portal APIs, but access requires formal partner approval rather than open self-serve keys.
Reporting & dashboards—PartialReporting exists but multiple reviews describe it as restrictive and hard to customize.
Mobile app—YesNative mobile app for owners to run payroll and for employees to view pay/W-2 info.
Applicant tracking (ATS)—PartialApplicant Tracking System (via CareerPlug) is only included on the top HR Pro tier, not lower tiers.
Employee onboarding—YesNew-hire onboarding is included even in the base Essential Payroll tier.
Payroll—YesCore product function: automated payroll runs plus federal/state/local tax deduction and filing.
Time-off & PTO management—PartialTime and attendance integrations (e.g., Deputy, Homebase, ClockShark) and HR tools cover PTO tracking; not confirmed as a standalone native module.
Benefits administration—PartialBenefits administration (health insurance, retirement, workers' comp) is available but carries additional fees per third-party reviews.
Performance reviews—NoNo dedicated performance-review/goal-setting module found; higher tiers offer salary benchmarking data only.
Employee directory & org chart—PartialEmployee self-service portal exists across tiers; no explicit standalone 'directory' feature was named.
Integrations verified——
Aggregate rating9.6 · No reviews yet4.7 · 6.0k reviews
Integrations—
QuickBooks OnlineXeroWaveDeputyHomebaseQuickBooks Time (TSheets)+7 more
Security & compliance—
SOC 1 Type 2SOC 2 Type 2ISO/IEC 27001ISO/IEC 27701+1 more
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
  • Widely praised as easy to use for running payroll, with simple pay-input fields and few errors
  • Strong, responsive customer support specifically during onboarding/implementation
  • Automatic tax filing and compliance handling reduces manual tax work for owners
  • Mobile app lets owners run payroll and lets employees view pay stubs/W-2s from anywhere
Cons
  • 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
  • Support quality is inconsistent after initial setup, with reported long hold times and difficulty reaching a live person
  • Perceived as expensive for smaller businesses once per-employee fees and optional add-ons are included
  • Reporting features described as restrictive and hard to customize
  • Portal/site navigation not always intuitive for finding specific info like tax forms
Visit Google Vertex AI ↗Visit RUN Powered by ADP ↗

Editorial read of this comparison

The table summarizes structured facts; this section explains what the differences mean for a real buying decision.

Where each tool fits, and where it may not

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

A particularly good fit for: B2B teams evaluating HR and People software Teams that need documented workflow capabilities and fit guidance Organizations willing to validate implementation and plan limits

May be a poor fit if: Teams seeking a workflow outside the product's documented focus Teams needing unlimited usage without plan limits

RUN Powered by ADP

RUN Powered by ADP is a cloud-based payroll and HR platform from ADP aimed at businesses with 1-49 employees. It automates federal, state, and local payroll tax deductions and filings, and layers on optional HR support, time tracking, benefits administration, and hiring tools across four package tiers. It is backed by ADP's live phone/chat support rather than being a pure self-serve product.

A particularly good fit for: Small businesses (1-49 employees) that want a service-backed payroll provider instead of a fully self-managed tool Owners who need automated multi-state federal/state/local tax deduction and filing handled for them Businesses that want room to grow from basic payroll into HR support, benefits administration, and hiring (via higher HR Pro tier)

May be a poor fit if: Very small or budget-conscious businesses (1-2 employees) sensitive to per-employee and per-add-on fees Buyers who want fully transparent, published self-serve pricing without going through a sales quote call

Pricing and plan structure

Google Vertex AI: Published starting price Free

  • Free or entry planFree
  • Higher tiersCustom pricing

RUN Powered by ADP: Published starting price Custom pricing

  • Essential PayrollCustom pricing
  • Enhanced PayrollCustom pricing
  • Complete Payroll & HR+Custom pricing
  • HR Pro Payroll & HRCustom pricing

Capabilities worth validating

  • Google Vertex AI: AutoML Capabilities, Custom Model Development, Pre-built Models, Model Deployment and Monitoring, Model Versioning and Management
  • RUN Powered by ADP: Public API, Reporting & dashboards, Mobile app, Applicant tracking (ATS), Employee onboarding Integrations include QuickBooks Online, Xero, Wave, Deputy.

Questions to answer before switching

  • Does Google Vertex AI's selected plan include the features and limits we need?
  • Does RUN Powered by ADP's selected plan include the features and limits we need?
  • Does the exact integration path for QuickBooks Online, Xero, Wave 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?

How to evaluate this shortlist

A useful comparison turns the differences between HR & People tools into a concrete test. Use these steps to avoid choosing from a feature table or the lowest headline price alone.

  1. Start with a representative HR & People workflow, not a feature checklist. Define who will use it, what data goes in, and what outcome the team needs.
  2. Test the complete path through QuickBooks Online, Xero, Wave: permissions, sync direction, failure handling, and volume limits often matter more than the integration name.
  3. Compare the cost of the real scenario, including users, usage, storage, support, and contract requirements. The entry price alone does not measure adoption cost.
  4. Before switching, list the evidence gaps, request a demo of the critical workflow, and confirm security, data residency, export, and support with each vendor.

Structured signals help narrow the shortlist, but a trial with a real workflow is still the best way to validate the decision.

Research basis

Last checked: 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.

Sources consulted: Google Vertex AI product site, FinancesOnline review, Vendor website; RUN Powered by ADP product site, G2, Capterra