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OpenText Operations Orchestration vs Python RPA comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 4, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
8.6
OpenText Operations Orchestration saves costs and time, reducing workloads and increasing productivity with a 40% efficiency improvement.
Sentiment score
8.2
Python RPA boosts efficiency, reduces errors, saves costs, and enhances productivity, enabling employees to focus on higher-value tasks.
 

Customer Service

Sentiment score
6.1
OpenText Operations Orchestration's customer and technical support can be inconsistent, with users experiencing varying levels of service quality.
Sentiment score
7.3
Python RPA is praised for responsive, knowledgeable customer support with high ratings for professionalism and effective guidance through issues.
 

Scalability Issues

Sentiment score
7.4
OpenText Operations Orchestration is praised for scalability, handling large architectures seamlessly, and supporting diverse, extensive server networks without downtime.
Sentiment score
6.9
Python RPA efficiently scales projects, handles tasks, integrates smoothly, and meets diverse needs, but optimal scaling may require expertise.
 

Stability Issues

Sentiment score
7.0
OpenText Operations Orchestration's stability has improved, achieving over 90% success despite minor customization and event remediation challenges.
Sentiment score
8.3
Python RPA is praised for its stability, reliability, and robustness in handling complex workflows with minimal glitches or errors.
 

Room For Improvement

OpenText Operations Orchestration needs better integration, scalability, a modern interface, cloud options, open-source support, and pre-built workflows.
Python RPA users face stability issues, complex setup, insufficient documentation, and slow performance with large datasets.
 

Setup Cost

OpenText Operations Orchestration is seen as costly but offers significant value through cost and time-saving automation capabilities.
Python RPA provides flexible and competitively priced plans, beneficial for both small projects and large enterprises, with excellent support.
 

Valuable Features

OpenText Operations Orchestration streamlines automation with easy integration, centralized management, and flexible features, reducing deployment time significantly.
Python RPA is valued for its ease of use, flexibility, integration, quick deployment, customization, community support, cost-effectiveness, and scalability.
 

Categories and Ranking

OpenText Operations Orchest...
Ranking in Robotic Process Automation (RPA)
19th
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
26
Ranking in other categories
Process Automation (23rd)
Python RPA
Ranking in Robotic Process Automation (RPA)
15th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Robotic Process Automation (RPA) category, the mindshare of OpenText Operations Orchestration is 0.7%, up from 0.2% compared to the previous year. The mindshare of Python RPA is 1.1%, down from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Robotic Process Automation (RPA) Mindshare Distribution
ProductMindshare (%)
Python RPA1.1%
OpenText Operations Orchestration0.7%
Other98.2%
Robotic Process Automation (RPA)
 

Featured Reviews

Ahmed Salman - PeerSpot reviewer
Performance & Monitoring Supervisor at Saudi Telecom Company
Increases productivity with automation and robust orchestration capabilities
The community is very powerful, with extensive knowledge bases available. There are ready-made workflows, integration with other products, a nice user interface, and reporting. The tool is flexible, agent-based or agentless. It allows significant automation and has robust orchestration and reporting capabilities. It is easy to configure and use, leading to increased efficiency across our IT processes.
Arno Krause - PeerSpot reviewer
Solutions Architect at MTN
Helps streamline operations, the error handling capability is fairly good, and integrations are easy
Keyword-driven automation has been beneficial in streamlining operations. The error handling capability of Python RPA is fairly good in managing exceptions. I rate it a seven out of ten. We've integrated it with Jenkins and with our release pipeline. It was fairly easy. We had no issues with integration that we couldn’t deal with. The dashboard is simple. We export it to Excel or Power BI and make it look pretty. For our initial use, the dashboard is okay.
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885,311 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
12%
Healthcare Company
10%
Construction Company
9%
Manufacturing Company
9%
Financial Services Firm
14%
Manufacturing Company
12%
Construction Company
7%
Marketing Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise20
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Operations Orchestration?
The pricing is medium, and the automation helps in cost and time savings, resulting in substantial value for money.
What needs improvement with Operations Orchestration?
I would prefer the addition of ready-made workflows for common scenarios such as Oracle database switchovers or Exchange server scenarios. This would save time by not starting from scratch each time.
What advice do you have for others considering Operations Orchestration?
This tool serves as a central management hub, allowing seamless control of various IT processes via one console. I rate this solution eight out of ten.
What do you like most about Python RPA?
Keyword-driven automation has been beneficial in streamlining operations.
What needs improvement with Python RPA?
I've worked with file detection for secure transactions. I use a machine learning model to predict events related to security transactions by predicting possible routes in advance. They need to imp...
 

Also Known As

Micro Focus Operations Orchestration, Operations Orchestration, HPOO, HPE Operations Orchestration
No data available
 

Overview

 

Sample Customers

Casablanca INT, Internet Initiative Japan, Railway Information Systems, Samsung SDS, and Turkcell.
Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins
Find out what your peers are saying about OpenText Operations Orchestration vs. Python RPA and other solutions. Updated: March 2026.
885,311 professionals have used our research since 2012.