--- title: "OPUS Software Pricing, Alternatives & More 2026 | Capterra" description: "With the help of Capterra, learn about OPUS Software - reviews, pricing plans, popular comparisons to other Business Intelligence products and more." source_url: "https://www.capterra.com/p/198922/VROC-Platform/" page_type: "product" language: "en" --- # OPUS Software Review 2026: Features, Reviews, Integrations, Pros & Cons Last updated on September 16, 2026 Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[FAQs](#faqs)[Features](#features)[Pricing](#pricing)[Integrations](#integrations)[Support](#support) OPUS ## What is OPUS? OPUS is a leading no-code AI platform that allows users to produce AI models to predict future outcomes and identify opportunities for optimization. Without any programming or coding experience teams can analyse their data, predict future performance, identify opportunities to reduce power consumption, improve productivity, and make adjustments to settings which can drastically improve your assets lifespan. Dive deeper into your asset's data than ever before for critical insights. ## What is OPUS used for? [IoT](https://www.capterra.com/iot-software/)[OEE](https://www.capterra.com/oee-software/)[Predictive Analytics](https://www.capterra.com/predictive-analytics-software/) Top alternative Featured Overall rating Based on 0 user reviews Reviews sentiment Positive \- Neutral \- Negative \- Starting price A$0.01 Per User, Per Year Free trial not available Free version not included Capterra Shortlist charts the highest-rated and most popular products... Our "Best of" badge program showcases products with the highest ratings... Our "Best of" badge program showcases products with the highest ratings... Do you work for OPUS?[Manage this product listing](https://www.g2.com/products/vroc-opus/claim_requests/new?auto=true) ## Compare with a popular alternative Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status. ### OPUS 0.0 VS. [4.4 (12)](https://www.capterra.com/p/10004983/SAS-Viya/#reviews) Starting Price A$0.01 Per User, Per Year Starting Price Contact vendor Free Trial Free Version Pricing Options Free Trial Free Version Ease Of Use 0.0 (0) Ease Of Use 4.1 (169) Value For Money 0.0 (0) Value For Money 3.7 (107) Customer Service 0.0 (0) Customer Service 3.9 (95) ## OPUS alternatives [4.6 (37)](https://www.capterra.com/p/268689/Google-Cloud-BigQuery/reviews/) Starting price $0.01 Per User, Per Month Pricing Options Free Trial Free Version User Rating 95% of reviewers rated it above 4 stars [Wolfram Mathematica](https://www.capterra.com/p/171048/Wolfram-Mathematica/) [4.6 (169)](https://www.capterra.com/p/171048/Wolfram-Mathematica/reviews/) Starting price $335.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 95% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/171048/Wolfram-Mathematica/) Highest Rated [OpenText Analytics Cloud](https://www.capterra.com/p/177019/OpenText-Analytics-Suite/) [5.0 (1)](https://www.capterra.com/p/177019/OpenText-Analytics-Suite/#reviews) Starting price $0.01 Per User, Per Month Pricing Options Free Trial Free Version User Rating 100% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/177019/OpenText-Analytics-Suite/) [Google Cloud](https://www.capterra.com/p/268690/Google-Cloud-Platform/) [4.7 (2,330)](https://www.capterra.com/p/268690/Google-Cloud-Platform/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 96% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/268690/Google-Cloud-Platform/) ## FAQs about OPUS Overview ### What company size and specific industries is OPUS built for? OPUS is designed for large-scale industrial organizations that handle high volumes of process data, particularly in Oil and Gas, Mining, and Utilities. It is intended for engineers, subject matter experts, and operators working in these sectors, where process data management and industrial operations are central to daily work. Features and Usability ### What are the key features of OPUS? OPUS includes AI/Machine Learning, predictive analytics, and ML Algorithm Library for modeling and forecasting. It also offers dashboards, real-time analytics, charting, and reporting, plus data connectors, data import/export, and data transformation. Operational features include alerts/notifications, workflow automation, access controls/permissions, and benchmarking. Integrations ### Which third-party tools and platforms does OPUS integrate with? OPUS connects natively to AWS CloudTrail, Microsoft Azure, DCS, and UK PLC. These integrations cover cloud infrastructure, security logging, and business platforms, giving OPUS a focused set of four third-party connections for teams managing enterprise environments and compliance-related workflows. Getting Started and Support ### What training and onboarding options does OPUS offer? OPUS provides in person training, live online sessions, webinars, documentation, and videos to help teams get started. In person and live online formats support guided instruction, webinars cover group learning, documentation offers written reference material, and videos provide on-demand walkthroughs. Getting Started and Support ### What customer support options does OPUS offer? OPUS provides Email/Help Desk, Phone Support, 24/7 Live Rep, and Chat. No reviewer feedback is available about support experience, so there is no evidence to describe response speed, agent helpfulness, or common frustrations. The listed channels indicate multiple ways to contact support, including round-the-clock live assistance. ## Features AI summary Based on 2,582 Business Intelligence reviews Capterra data shows that buyers of business intelligence software rank the following features as their top priorities: - **Dashboard Creation** (**55%** of reviewers rated this feature as critical) - **Multiple Data Sources** (**60%**) - **Reporting/Analytics** (**53%**) OPUS supports all three of the features reviewers value most: **Dashboard Creation**, **Multiple Data Sources**, and **Reporting/Analytics**. Together, these capabilities give teams a clear way to visualize metrics, connect information from different systems, and track performance through detailed reports, helping businesses make faster, better-informed decisions. Access Controls/Permissions Define levels of authorization for access to specific files or systems Activity Dashboard Dashboard to view the status of ongoing processes, identify current incidents and track past activities Activity Tracking Track and document all activities across devices, networks, and other systems Ad hoc Query One-off queries made on an as-needed basis AI/Machine Learning Software program that continuously adjusts its behavior based on observed data Alerts/Notifications Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges OPUS 83 features ### All Features - Access Controls/Permissions: Define levels of authorization for access to specific files or systems - Activity Dashboard: Dashboard to view the status of ongoing processes, identify current incidents and track past activities - Activity Tracking: Track and document all activities across devices, networks, and other systems - Ad hoc Query: One-off queries made on an as-needed basis - AI/Machine Learning: Software program that continuously adjusts its behavior based on observed data - Alerts/Notifications: Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges - API: Application programming interface that allows for integration with other systems/databases - Benchmarking: Compare key metrics for the business against prominent players in the industry - Big Data Analytics: Examine large amounts of data to uncover hidden patterns, correlations, and other insights - Charting: Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc. - Customizable Branding: Add customized logos and colors to align with company branding - Customizable Reports: Alter the layout and content of reports - Dashboard: Assembly of graphs and charts for visualizing and tracking statistics/metrics - Dashboard Creation: Creation and customization of dashboards - Data Analysis Tools: Analyze survey results via statistical testing or crosstabs directly within the software - Data Capture and Transfer: Import, collect, and capture data from multiple sources - Data Clustering: Clustering or grouping objects based on data similarities - Data Connectors: Connect to big data sources - Data Discovery: Discover and connect variety of data sources to the application for analysis - Data Extraction: Automatically retrieve and pull information from documents, websites, images, data sets, and other sources - Data Import/Export: Import and export data to and from software applications - Data Management: Ability to handle large datasets - Data Modeling: Conceptual model of how data items relate to each other - Data Storage Management: Manage and store data in a database - Data Synchronization: Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency - Data Transformation: Translate EDI formats into data suitable for use with company applications. - Data Visualization: Graphical representation of data - Decision Support: Tools that provide relevant information at specific times to support judgments and courses of action - Deep Learning: Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data. - Demand Forecasting: Forecast customer demand using historical insights and simulations - Downtime Tracking: Track unplanned equipment or network failures - Drag & Drop: Assemble applications and processes by dragging over and arranging pre-built components - Energy Management: Track energy consumption and/or manage energy-saving measures. - Equipment Management: Monitor and maintain equipment used to manufacture and deploy products and services, and to reallocate assets where needed - Event Logs: A chronological record of actions or occurrences within a network, software, or process - Event Triggered Actions: Predefined actions automatically performed on the occurance of specific events - Facility Management: Manage the maintenance of building facilities - Fixed Asset Management: Centralized database to track details of fixed assets such as depreciation and maintenance scheduling/history - Forecasting: Form predictions based on past and present data/trends - Historical Reporting: Information, data and reports that are being tracked over time - Historical Trend Analysis: Review data from past periods to reveal recurring tendencies - Maintenance Management: Manage, maintain and track the performance of assets and equipment - Maintenance Scheduling: Schedule predetermined or ad hoc maintenance services and labor requests - Model Training: Process of testing an ML algorithm by feeding it training data to learn from - Modeling & Simulation: Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making - Monitoring: Observe and track the demand, usage, progress or quality of a system, product, or user - Multi-Language: Manage and support multiple languages - Multi-Location: Manage and support multiple locations - Multiple Data Sources: Allows users to manage data from a number of sources - No-Code: Drag and drop/visual interfaces that allow non-tech users to build without writing code - Performance Management: Organize and manage the accomplishments and development of employees or performance of applications or systems - Performance Metrics: A set of indicators that tracks the performance of networks, applications, systems, teams, etc. - Predictive Analytics: Predict future data based on historical data sets - Predictive Maintenance: Identifies potential asset failures and maintenance activities using real-time data and predictive algorithms - Predictive Modeling: Analyzing historical and current data and generating a model to help predict future outcomes. - Preventive Maintenance: Minimizes equipment failures and optimizes asset reliability through scheduled inspections, repairs, and replacements - Prototype Creation: Create, manage and access prototypes to capture design concepts and test on users - Quality Control: Ensure that quality requirements and standards are met across production processes - Query Builder: Tool that allows users to create and execute database queries without needing to know the underlying syntax of the database - Real-Time Analytics: Analyze and gain insights into data in real-time - Real-Time Data: Receive data and information in real time - Real-Time Monitoring: Active monitoring of systems, applications, or networks - Real-Time Notifications: Notifications that are delivered to users as soon as an event occurs - Real-Time Reporting: Active reporting of data and metrics - Real-Time Updates: Receive system updates as soon as any changes are made - Reporting & Statistics: Collection, analysis, and representation of numerical data and generation of reports to understand various patterns - Reporting/Analytics: View and track pertinent metrics to find patterns and gain insights from data - Role-Based Permissions: Set & manage permission levels based on user roles and restrict access to only authorized individuals - Root Cause Analysis: Identify and analyse the reasons behind accidents - Scorecards: Visual representation of performance data, enabling users to monitor progress, identify trends, and make data-driven decisions - Search/Filter: Search and filter data across systems to locate required information by entering keywords or certain criteria - Secure Data Storage: Securely stores data to prevent data loss or breaches - Self-paced Learning: Identifying your own learning needs, setting goals, finding the necessary resources, and evaluating your own knowledge - Self-service Analytics: Generate reports on your own without IT involvement - Tagging: Attach digital tags to documents and assets for identification, search, or monitoring purposes - Third-Party Integrations: Set up connections to third-party platforms to improve business processes - Time Series Analysis: Series of data points indexed in time order - Traceability: Track and document the history, application, or location of an item or activity - Trend Analysis: Review data from past periods to reveal recurring tendencies and predict future performance - Trend/Problem Indicators: Visually identify direction of development and areas that require attention - Visual Analytics: Interact with data visualization elements, such as charts and graphs, to drill down into data - Visualization: Graphical representation of data or processes - Workflow Automation: Streamlining repetitive tasks and activities through automated and predefined workflows --- Get Advice We can help you find the software with the features you need. ## Pricing Basic A$0.01 Per User,Per Year ## Integrations [ Microsoft Azure](https://www.capterra.com/p/16365/Azure/)[ AWS CloudTrail](https://www.capterra.com/p/205399/AWS-CloudTrail/)[ UK PLC](https://www.capterra.com/p/160992/UK-PLC/) Connect with a Capterra advisor for a free 15-minute consultation Get a personalized software list aligned to your business needs with guidance from our expert advisors. 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