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Appian vs GitHub CoPilot comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 25, 2026

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
7.1
Clients witness significant efficiency and cost benefits from Appian, achieving ROI within a year despite licensing variability.
Sentiment score
6.8
GitHub CoPilot boosts productivity, code quality, and customer satisfaction, while reducing costs and increasing ROI across various projects.
Using Appian is saving us five full-time employees, which is significant since we currently have only four team members.
Finance Specialist at a government with 5,001-10,000 employees
They see return on investment in terms of cost savings, time savings, more efficient processes, and more efficient employees.
Director & Key Managerial Personnel at Newlight Technology Solutions Private Limited
Appian is very efficient, allowing us to build a lot of applications within a financial year, making it cost-effective.
Technology Leader of Appian at a retailer with 11-50 employees
A lot of time is saved using GitHub CoPilot because the PR review process used to take two to three days, but now it takes about two to three minutes to analyze the complete PR, get context, and give the rating.
AI Researcher and Full Stack Developer at ADP
Once developers start using it, they are completing coding tasks 55% faster, which I consider a great achievement worth sharing.
System engineer at a retailer with 10,001+ employees
Efficiencies with GitHub CoPilot have improved by 30%, which means a quicker go-to market and a simplified way of documenting technical designs.
Vice President of Products at C5i
 

Customer Service

Sentiment score
7.5
Appian's customer support is responsive and effective with timely assistance and useful resources, supporting various regions and partners.
Sentiment score
5.1
GitHub CoPilot's customer support receives mixed reviews; forum support is valued, but some experience delayed responses, especially for features.
I would give Appian's customer support 10 out of 10 due to their next-level support.
Finance Specialist at a government with 5,001-10,000 employees
Their customer service is responsive, and the team is very prompt for support.
Delivery Manager (Intelligent Business Automation) - Pega at Persistent Systems
The technical support for Appian rates as 10 out of 10 because they have a great support team.
Director & Key Managerial Personnel at Newlight Technology Solutions Private Limited
With a large user base, it covers a wide range of questions, from simple to complex, ensuring that answers are available.
Software Engineer at a tech vendor with 1,001-5,000 employees
Whenever there's a downtime of GitHub CoPilot or any issue with login or plugins, customer support is good enough to solve those issues.
AI Researcher and Full Stack Developer at ADP
Our organization utilizes the GitHub CoPilot Enterprise tier, which allows us to receive more priority for our queries and faster resolutions.
System engineer at a retailer with 10,001+ employees
 

Scalability Issues

Sentiment score
7.5
Appian is scalable and manages increased user volume well, though challenges arise with data management and complex processes.
Sentiment score
7.1
GitHub CoPilot offers scalable support and flexibility, highly rated by users, despite occasional delays in complex scenarios.
On a scale of one to 10, Appian rates as a nine for scalability.
Director & Key Managerial Personnel at Newlight Technology Solutions Private Limited
Our volume has increased by 20% in the two years since using Appian, and it can handle the increased volume effectively.
Finance Specialist at a government with 5,001-10,000 employees
Initially, without much coding, I can easily handle five thousand records.
Associate Consultant at a financial services firm with 10,001+ employees
It cannot be fully depended on to build every component and run a large enterprise application without significant human intervention.
Vice President of Products at C5i
Multiple people using it get a lot of immediate and exact responses useful for fixing issues, debugging, automating, or enhancing features.
AI Researcher and Full Stack Developer at ADP
For our organization, it scales effortlessly as we add new engineers to our GitHub organization and can provision them with a GitHub CoPilot license instantly.
System engineer at a retailer with 10,001+ employees
 

Stability Issues

Sentiment score
8.0
Appian is stable and reliable with high uptime, performing well when best practices and standards are followed.
Sentiment score
7.5
GitHub CoPilot is stable, mainly rated highly by users, with occasional minor issues often resolved by restarting.
We have tested Appian during peak usage and off-peak times, and we have not experienced any issues such as lagging or system disruptions.
Finance Specialist at a government with 5,001-10,000 employees
It depends on how it has been designed and how it has been configured.
Delivery Manager (Intelligent Business Automation) - Pega at Persistent Systems
The stability of Appian would rate as nine, as it's a stable environment.
Director & Key Managerial Personnel at Newlight Technology Solutions Private Limited
In most cases, it does not generate irrelevant code.
Software Engineer at a tech vendor with 1,001-5,000 employees
At certain times, you may not get the required response and realize it's either down or not responding for other reasons.
Vice President of Products at C5i
GitHub CoPilot is extremely stable and built for hyperscale, currently supporting millions of developers globally.
System engineer at a retailer with 10,001+ employees
 

Room For Improvement

Appian needs improvements in UI, integration, mobile capabilities, AI features, Excel functionalities, pricing, error management, and reporting.
GitHub CoPilot struggles with pricing, language support, code accuracy, and lacks features like integration and enhanced IDE functionality.
It has room to improve for use cases where the users are public facing, where anonymous users could come to a site and run a business workflow or interact with some data.
Director & Key Managerial Personnel at Newlight Technology Solutions Private Limited
Appian can be improved by adding a geo-location tagging feature, which would be really helpful for identifying remitter addresses.
Finance Specialist at a government with 5,001-10,000 employees
I think Appian could improve by adding its own native GenAI and agentic capabilities.
Director, Digital Customer Experience at a consultancy with 10,001+ employees
Users should not be 100% reliant on AI or any LLMs. They need to work on it and they need to review the code.
QA Manager at Synechron
There is excellent support across various code editors like JetBrains, VS Code, and NeoGen.
Software Engineer at a tech vendor with 1,001-5,000 employees
To understand our application better and learn from it would likely require access to the entire codebase, which a lot of companies may not allow.
Vice President of Products at C5i
 

Setup Cost

Appian's enterprise pricing is high but justified by features, with costs influenced by users and deployment choice.
GitHub Copilot is affordable with enterprise licenses at $19/user monthly, offering free trials and cost-efficient plans.
Appian provides value for money, is easy to use, has a straightforward setup procedure, and offers great support from the Appian team.
Finance Specialist at a government with 5,001-10,000 employees
On the pricier side, both Appian and Pega are enterprise-level solutions, placing them on the slightly higher side.
Delivery Manager (Intelligent Business Automation) - Pega at Persistent Systems
The pricing of Appian is based on the number of users and generally ranges from 70 to 100 USD per user per month.
Technology Leader of Appian at a retailer with 11-50 employees
They recently made Copilot free to use up to a certain limit, which is a positive change.
Software Engineer at a tech vendor with 1,001-5,000 employees
The kind of use that I am having with a $20-30 license, I think it is really of really good help.
QA Manager at Synechron
 

Valuable Features

Appian offers rapid development with low-code, drag-and-drop simplicity, robust integrations, AI features, and strong support for scalability.
GitHub CoPilot enhances coding productivity with real-time suggestions, context understanding, and seamless IDE integration, benefiting teams significantly.
The zero-code integration feature is remarkable, allowing for ease of data transfer and workflow enhancement.
Technology Leader of Appian at a retailer with 11-50 employees
Appian is aiding in leveraging AI technologies in multiple ways: one way is for developers, as they make development efficient and quick by enabling developer co-pilots across various phases of the application, which helps design Appian quickly and provides suggestions along the way.
Director & Key Managerial Personnel at Newlight Technology Solutions Private Limited
After switching to Appian, it can extract data from MT103, eliminating the need for manual data entry.
Finance Specialist at a government with 5,001-10,000 employees
It is certainly time-saving; we have seen upwards of around 30% plus of time savings using GitHub CoPilot.
Vice President of Products at C5i
Things which were taking like two days are now finished within half an hour.
QA Manager at Synechron
Context awareness, inline autocompletions, rapid code prototyping, Agentic mode, and availability in multiple language IDEs are the best features of GitHub CoPilot.
AI Researcher and Full Stack Developer at ADP
 

Categories and Ranking

Appian
Ranking in Rapid Application Development Software
13th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
65
Ranking in other categories
Business Process Management (BPM) (8th), Process Automation (9th), Low-Code Development Platforms (7th), Process Mining (6th), Business Orchestration and Automation Technologies (10th)
GitHub CoPilot
Ranking in Rapid Application Development Software
7th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
34
Ranking in other categories
AI Code Assistants (3rd)
 

Mindshare comparison

As of June 2026, in the Rapid Application Development Software category, the mindshare of Appian is 4.0%, down from 8.8% compared to the previous year. The mindshare of GitHub CoPilot is 2.7%, down from 5.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Rapid Application Development Software Mindshare Distribution
ProductMindshare (%)
GitHub CoPilot2.7%
Appian4.0%
Other93.3%
Rapid Application Development Software
 

Featured Reviews

Shad Bhowmik - PeerSpot reviewer
Finance Specialist at a government with 5,001-10,000 employees
Automated remittance workflows have boosted speed and accuracy but still need geo-tagging improvements
Remittance is a crucial part of my integral operation, so any disruption would majorly impact our clients. After switching to Appian, we never faced any disruption as it is reliable and we can generate data at any point in time, quite faster than other tools in my personal opinion. Regulators can ask for data from us at any time, and with Appian, we download data from our Appian tools to share it with them whenever they ask. I would share a real-life example: a customer's transaction processed more than a year ago. Suddenly the customer came back asking for all the details. In our previous tool, it was quite difficult to generate transaction details from over a year ago; however, while using Appian, we can pull up data using different key search fields, such as a customer's cell phone number, remittance tracking number, or MT103 reference number. We shared it with the customer instantly, and the customer was surprised we could provide all the details in such a short time. It added reputational value for our organization, thanks to Appian.You have pointed out two major things: time-saving and reduction of error, which are key points while processing remittance. Previously, while using another tool, it was quite time-consuming to process remittance, but after switching to Appian, it can extract data from MT103, eliminating the need for manual data entry. The process has become fully automated. Previously we could process only five to ten transactions within an hour, but now, after switching to Appian, we can process about 100 transactions in an hour, making it 10 times faster. In terms of error detection, since Appian extracts data from MT103, the extraction rate is quite good, and the error rate is negligible, lower than 0.001%. We can share accurate, error-free data with the regulator, which is essential for us. Appian benefits us significantly. After receiving an MT103, we check what the remitter is, the amount, if it is under threshold for processing, and if it is from a high-priority remitter or client. Since Appian extracts data from MT103 messages and identifies top-level clients from the database, it can notify us to process their transactions with priority. Due to automated data extraction, there are fewer instances of error. In our previous tool, we reported regulatory data to the central bank manually and often received complaints about invalid purpose codes due to manual data entry. Appian handles this automatically, and after switching, our error rate has dropped significantly, resulting in positive feedback from the Central Bank of Bangladesh regarding our reduced error rates. This has greatly enhanced our organization's reputation. Appian is fully on-premises, and we have our own system.
TusharShankar - PeerSpot reviewer
QA Manager at Synechron
AI coding assistant has transformed development speed and supports learning new languages
Any technology comes with two things, or rather anything in this world has both sides, good and bad. LLMs also have the same thing. The bad part is for a person who is 100% dependent on AI because they won't be able to learn more if they are 100% dependent on that. The main thing is that there has to be restraint from our side. I won't say it is from the tool side, but from our side, we need to learn and we need to work on it. We need to review the code. That is one thing that we need to do from our end. From a technology perspective, it is designed to help us out, and it is totally on our side of thinking about how exactly we are going to use that. There is not any area for improvement from the tool side, but it is from the users altogether. Users should not be 100% reliant on AI or any LLMs. They need to work on it and they need to review the code.
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Manufacturing Company
8%
Government
8%
Computer Software Company
7%
Financial Services Firm
15%
Manufacturing Company
10%
Computer Software Company
8%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise9
Large Enterprise46
By reviewers
Company SizeCount
Small Business14
Midsize Enterprise5
Large Enterprise18
 

Questions from the Community

Which do you prefer - Appian or Camunda Platform?
Appian is fast when building simple to medium solutions. This solution offers simple drag-and-drop functionality with easy plug-and-play options. The initial setup was seamless and very easy to imp...
Is Appian a suitable solution for beginners who have no additional preparation?
Appian is actually pretty big on educating its users, including with courses that reward you with certifications. There is a whole section on their company’s website where you can check out the edu...
Is it easy to set up Appian or did you have to resort to professional help?
We had some issues when we were setting up Appian. It was quite surprising, since this is a low-code tool which, in its essence, means it is meant for business users and inexperienced beginners. So...
What is your experience regarding pricing and costs for GitHub CoPilot?
For now, I think it is okay. It is not that expensive. The kind of use that I am having with a $20-30 license, I think it is really of really good help.
What needs improvement with GitHub CoPilot?
GitHub CoPilot can be improved by making it easier, more impactful, and more accurate. While it provides good answers now, aiming for more accuracy would enhance its effectiveness. I need it to be ...
What is your primary use case for GitHub CoPilot?
My main use case for GitHub CoPilot is during my college project, specifically a capstone project titled a gym application, a fitness tracking system, where I am creating my fitness tracking applic...
 

Comparisons

 

Also Known As

Appian BPM, Appian AnyWhere, Appian Enterprise BPMS
No data available
 

Overview

 

Sample Customers

Hansard Global plc, Punch Taverns, Pirelli, Crawford & Company, EDP Renewables, Queensland Government Department of State Development, Infrastructure and Planning (, Bank of Tennessee
Information Not Available
Find out what your peers are saying about Appian vs. GitHub CoPilot and other solutions. Updated: April 2026.
899,258 professionals have used our research since 2012.