ePS Pace vs SAS Viya Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated Apr 2026 8 min read

ePS Pace

0.0 (0 reviews)

ePS Pace is a modular print management information system designed to automate your entire production workflow from initial estimating and scheduling through to final invoicing and data analysis.

Starting at --
Free Trial NO FREE TRIAL
VS

SAS Viya

0.0 (0 reviews)

SAS Viya is a cloud-native data management and analytics platform that helps you build, deploy, and manage artificial intelligence and machine learning models to solve complex business problems efficiently.

Starting at --
Free Trial 14 days

Quick Comparison

Feature ePS Pace SAS Viya
Website eps.efi.com sas.com
Pricing Model Custom Custom
Starting Price Custom Pricing Custom Pricing
FREE Trial ✘ No free trial ✓ 14 days free trial
Free Plan ✘ No free plan ✘ No free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment saas on-premise saas on-premise mobile
Integrations ePS MarketDirect StoreFront ePS Metrix Fiery Microsoft Excel Adobe Creative Cloud HP Indigo Agfa Kodak Heidelberg Enfocus Switch Microsoft Azure Amazon Web Services Google Cloud Platform Python R Jupyter Snowflake Databricks Microsoft Teams Slack
Target Users mid-market enterprise mid-market enterprise
Target Industries printing packaging manufacturing finance healthcare government
Customer Count 0 0
Founded Year 1989 1976
Headquarters Pittsburgh, USA Cary, USA

Overview

E

ePS Pace

ePS Pace (formerly EFI Pace) is a browser-based management information system built specifically for the printing and packaging industry. You can centralize your entire operation into a single point of control, allowing you to manage complex estimates, track inventory in real-time, and monitor shop floor productivity without jumping between different applications. It helps you eliminate manual data entry and reduces the risk of costly errors in high-volume production environments.

The platform adapts to your specific business needs through its modular architecture, whether you handle digital, offset, or wide-format printing. You can gain deep visibility into your profit margins with integrated accounting and business intelligence tools. By connecting your front office to the production floor, you ensure that every team member has access to the same live data, helping you hit deadlines and maintain consistent quality standards across every job.

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SAS Viya

SAS Viya is a cloud-native analytics platform designed to help you manage the entire data lifecycle in one place. You can move from raw data to production-ready AI models using a unified interface that supports both visual drag-and-drop tools and popular programming languages like Python and R. This flexibility allows your data scientists and business analysts to collaborate effectively on the same projects.

The platform handles massive datasets with ease thanks to its distributed, in-memory processing engine. You can deploy it on any cloud provider or on-premises environment to maintain control over your infrastructure. By automating repetitive data preparation and model tuning tasks, you can focus on uncovering insights that drive better business decisions and operational efficiency across your entire organization.

Overview

E

ePS Pace Features

  • Smart Estimating Generate accurate quotes quickly for complex jobs by automatically calculating material costs, labor, and press time.
  • Automated Scheduling Optimize your pressroom capacity with visual scheduling tools that help you manage job priorities and minimize downtime.
  • Inventory Management Track paper stock and consumables in real-time so you never run out of materials during a critical production run.
  • Shop Floor Data Collection Capture live production data directly from the floor to monitor job progress and employee productivity as it happens.
  • Integrated Accounting Manage your accounts payable, receivable, and general ledger within the same system to streamline your monthly financial reporting.
  • Business Intelligence Create custom dashboards and reports to analyze your most profitable jobs and identify areas for operational improvement.
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SAS Viya Features

  • Visual Data Preparation. Clean and transform your data using an intuitive visual interface that automatically generates code in the background.
  • Automated Machine Learning. Build high-quality models faster by letting the system automatically handle feature engineering, algorithm selection, and hyperparameter tuning.
  • Model Management. Register, track, and monitor all your analytical models in a central repository to ensure they perform reliably over time.
  • Open Language Support. Write code in Python, R, or Lua while still taking advantage of the platform's powerful distributed processing capabilities.
  • Real-Time Decisioning. Embed your analytical models directly into business processes to trigger automated actions and responses the moment data arrives.
  • Natural Language Generation. Receive automated text explanations of your data visualizations so you can understand the 'why' behind your business trends.

Pricing Comparison

E

ePS Pace Pricing

S

SAS Viya Pricing

Pros & Cons

M

ePS Pace

Pros

  • Highly customizable modules fit specific print workflows
  • Browser-based interface allows access from any device
  • Strong reporting capabilities provide deep financial insights
  • Excellent at handling complex, multi-part job estimates

Cons

  • Significant time investment required for initial setup
  • Learning curve is steep for non-technical staff
  • System updates can occasionally require IT support
  • Customization options can feel overwhelming at first
A

SAS Viya

Pros

  • Handles extremely large datasets with high performance
  • Unified environment for both coding and visual users
  • Strong governance features for regulated industries
  • Excellent technical support and extensive documentation
  • Seamless integration with major cloud providers

Cons

  • Higher price point compared to open-source alternatives
  • Significant learning curve for the full feature set
  • Initial setup and configuration can be complex
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