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Compare BigML vs Pega Workforce Intelligence

What is better BigML or Pega Workforce Intelligence? It’s easy to our scoring system to give you a general idea which Artificial Intelligence Software product is better for your company. For overall product quality, BigML received 8.0 points, while Pega Workforce Intelligence earned 8.5 points. At the same time, for user satisfaction, BigML scored 99%, while Pega Workforce Intelligence scored 100%.

Information regarding their functions, tools, supported platforms, customer support, plus more are provided below to provide you with a more versatile comparison. Keep in mind to get only the features your business requires to avoid wasting cash for tools that you won’t be using.

Right now, the most popular solutions in our Artificial Intelligence Software category are: Salesforce Einstein, Cloud Machine Learning Engine, Azure Machine Learning Studio.

NOAWARDS
YET

SmartScore™

OUR SCORE 8.0

User Satisfaction

CUSTOMER EXPERIENCE N/A

Pricing

Starting from $30

Pricing Model

Free

Monthly payment

One-time payment

Annual Subscription

Quote-based

List of Features

  • WhizzML Programming Language
  • Alexa Voice Service
  • Bindings & Libraries
  • Open Source Command Line
  • Google Sheets Add-On
  • Native MacOS App
  • PredictServer
  • Gallery
  • Concurrent Tasks

Pricing Info

BigML offers the following SMB and enterprise pricing packages for users to choose from. Discounts are also available for students, public researchers, and NGOs. To avail of the price slash, to request a quote, or to ask for more information, send them an email to or telephone sales.

Subscription Plans

Free – $0

  • Unlimited Tasks & Storage
  • 16 MB Dataset Size
  • 2 Parallel Tasks

Standard – $30.00/month, $75.00/quarter, $240.00/year

  • Unlimited Tasks & Storage
  • 64 MB Dataset Size
  • 2 Parallel Tasks
  • 8×5 Email & Public Chat Room

Boosted – $150.00/month, $360.00/quarter, $1,200.00/year

  • Unlimited Tasks & Storage
  • 1 GB Dataset Size
  • 4 Parallel Tasks
  • 8×5 Email & Public Chat Room

Pro – $300.00/month, $750.00/quarter, $2,400.00/year

  • Unlimited Tasks & Storage
  • 4 GB Dataset Size
  • 8 Parallel Tasks
  • 8×5 Email & Public Chat Room

Bronze – $2,500.00/month, $6,375.00/quarter, $21,000.00/year

  • Unlimited Tasks & Storage
  • 8 GB Dataset Size
  • 16 Parallel Tasks
  • 8×5 Email & Public Chat Room

Silver – $5,000.00/month, $12,750.00/quarter, $42,000.00/year

  • Unlimited Tasks & Storage
  • 16 GB Dataset Size
  • 32 Parallel Tasks
  • 8×5 Email & Public Chat Room

Gold – $7,500.00/month, $19,125.00/quarter, $63,000.00/year

  • Unlimited Tasks & Storage
  • 32 GB Dataset Size
  • 64 Parallel Tasks
  • 8×5 Email & Public Chat Room

Platinum – $10,000.00/month, $25,500.00/quarter, $84,000.00/year

  • Unlimited Tasks & Storage
  • 64 GB Dataset Size
  • 64 Parallel Tasks
  • 8×5 Email & Public Chat Room

Private Deployments

Cloud & On-Premises

  • 1 Server – $45,000.00/year + $10,000.00/one-time set-up fee
  • 12 Servers – $105,000.00/year + $20,000.00/one-time set-up fee
  • 36 Servers – $180,000.00/year + $30,000.00/one-time set-up fee
  • Site-Wide License – $750,000.00/year + $50,000.00/one-time set-up fee
  • World-Wide License – $2,250,000.00/year + $100,000.00/one-time set-up fee
  • Custom Deployment – request a quote

All private deployments include the following:

  • Unlimited Tasks
  • Configurable Data Processing
  • Customized BigML Interface
  • Prioritized Feature Requests
  • Periodical Upgrades & Updates
  • Priority Access to New Features
  • 24×7 Support Email, Chat, & Telephone
  • Maintenance Training
  • User Manuals

 

Languages Supported

English

Chinese

German

Hindi

Japanese

Spanish

French

Russian

Italian

Dutch

Portugese

Polish

Turkish

Swedish

Prominent Clients

Integrations

BigML provides access to its REST-style API for secure access to resources, datasets, near live predictions, and asynchronous developing of resources.

Available Devices

Windows

Linux

Android

iPhone/iPad

Mac

Web-based

Windows Mobile

Company Size

Small Business

Large Enterprises

Medium Business

Freelancers

Available Support

email

phone

live support

training

tickets

General Info

A machine learning platform that lets developers create enterprise-grade predictive applications.

Company Email

info@bigml.com

Contact No.

Company's Address

BigML
NW 9th, Suite D
Corvallis, OR 97330
USA

NOAWARDS
YET

SmartScore™

OUR SCORE 8.5

User Satisfaction

CUSTOMER EXPERIENCE 100%

Pricing

By quote

Pricing Model

Free

Monthly payment

One-time payment

Annual Subscription

Quote-based

List of Features

  • Desktop Bot
  • Employee Activity Tracking
  • Opportunity Finder Analysis
  • Application Effectivity Monitoring
  • Path Visualizer
  • Tailored Feedback
  • Analytics & Insights

Pricing Info

Pega Workforce Intelligence enterprise pricing plans are available by quote only. The vendor will assist companies in identifying opportunities to further improve their business workflow, starting from their employees.

Languages Supported

English

Chinese

German

Hindi

Japanese

Spanish

French

Russian

Italian

Dutch

Portugese

Polish

Turkish

Swedish

Prominent Clients

Radial, UnitedHealthcare, Sprint

Integrations

No information available.

Available Devices

Windows

Linux

Android

iPhone/iPad

Mac

Web-based

Windows Mobile

Company Size

Small Business

Large Enterprises

Medium Business

Freelancers

Available Support

email

phone

live support

training

tickets

General Info

A best-in-class desktop bot that tells employers about the behaviors of their workforce.

Company Email

Contact No.

Company's Address

Pega Workforce Intelligence
One Rogers Street
Cambridge, MA 02142-1209
USA

All the data, facts and reviews that we presented in this table were taken from official vendor websites, marketing materials available online, real-life experience from real clients as well as our individual direct use of each software by a professional reviewer. We pay a lot of attention to thoroughly study each solution, therefore we not only analyze it on our own, but we also correlate our observations with views of other people from the SaaS community.

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