Bizagi and GitHub CoPilot operate in the business process management and code generation categories, respectively. Bizagi seems to have the upper hand in affordability and enterprise features, while GitHub CoPilot is valued for its advanced development assistance capabilities and AI-driven code suggestions.
Features: Bizagi includes comprehensive process modeling with BPMN 2.0 standards, simulation tools, and easy integration with various systems. Its interface is intuitive, making it accessible for non-technical users. GitHub CoPilot excels in AI-driven code generation, offering strong integrations with popular code editors, and facilitating faster coding with context-aware suggestions.
Room for Improvement: Bizagi users desire better system stability for larger processes, improved cloud integration, and more effective debugging tools. GitHub CoPilot could enhance code suggestion accuracy and support more diverse development environments, as well as refining reporting tools to better align with project contexts.
Ease of Deployment and Customer Service: Bizagi supports on-premises, public cloud, and hybrid deployments. Customer service feedback is mixed, with slower responses for non-premium users. GitHub CoPilot offers a primarily on-premises setup, praised for seamless integration, though some users find support responsiveness lacking in speed.
Pricing and ROI: Bizagi provides strong ROI with its free and enterprise licensing models, although a recent price hike affects smaller users. GitHub CoPilot offers free and tiered pricing, presenting better value when bundled with GitHub services, delivering significant ROI through improved coding efficiency, especially in development-heavy scenarios.
Efficiencies with GitHub CoPilot have improved by 30%, which means a quicker go-to market and a simplified way of documenting technical designs.
The toolset is very intuitive, so we didn’t need to contact their support much.
We cannot expect major customer support.
With a large user base, it covers a wide range of questions, from simple to complex, ensuring that answers are available.
GitHub technical support is excellent.
There is no direct scalability option.
If I rate scalability from one to ten, I would probably give it a six.
It cannot be fully depended on to build every component and run a large enterprise application without significant human intervention.
With an enterprise plan, there are no limitations, so scalability is not an issue.
It is quite easy to scale.
At certain times, you may not get the required response and realize it's either down or not responding for other reasons.
In most cases, it does not generate irrelevant code.
The decision map could be improved to allow more than three options at a decision point.
For more mature environments, the integration to live systems is lacking, which affects its applicability.
Reporting capabilities can be improved more, and community support should be increased.
Users should not be 100% reliant on AI or any LLMs. They need to work on it and they need to review the code.
There is excellent support across various code editors like JetBrains, VS Code, and NeoGen.
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.
Bizagi's pricing is very aggressive, and it was one of the reasons we chose it.
The kind of use that I am having with a $20-30 license, I think it is really of really good help.
They recently made Copilot free to use up to a certain limit, which is a positive change.
It is open source.
The user interface is very good, making it easy for business people to understand.
Bizagi has rich functionalities; compared to other BPMN tools, it has more features.
It is certainly time-saving; we have seen upwards of around 30% plus of time savings using GitHub CoPilot.
Things which were taking like two days are now finished within half an hour.
Copilot is integrated into my environment, providing the context and the bigger picture of how the code is used throughout the project.
| Product | Market Share (%) |
|---|---|
| GitHub CoPilot | 5.2% |
| Bizagi | 2.1% |
| Other | 92.7% |
| Company Size | Count |
|---|---|
| Small Business | 42 |
| Midsize Enterprise | 16 |
| Large Enterprise | 36 |
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 2 |
| Large Enterprise | 14 |
Bizagi’s industry-leading low-code process automation platform connects people, applications, robots, and information. As the most business-friendly and flexible solution on the market, Bizagi enables true collaboration between business and IT, delivering faster adoption and success. Fuelled by a community of 1 million users, Bizagi powers over 1,000 organizations worldwide including Adidas, BAE Systems, and Old Mutual. For more information visit www.bizagi.com
GitHub CoPilot accelerates developer productivity with code generation, test case creation, and code explanation. It provides context-aware suggestions, integrates with popular IDEs, and supports multiple languages.
GitHub CoPilot significantly boosts development efficiency by reducing coding and debugging time. Its user-friendly auto-complete and variable detection features streamline complex tasks, serving as a learning tool for developers. Areas needing improvement include its accuracy, stability, and broader integration with IDEs and languages. Users find the pricing strategy expensive and wish for enhanced contextual understanding, diverse result formats, and image support. Expanded functionality and better integration in highly regulated environments are important for future growth.
What are the most valued features of GitHub CoPilot?Utilized across industries to enhance application development and productivity, GitHub CoPilot assists in generating code snippets, writing code skeletons, analyzing documents, and automating workflows. It supports coding best practices, prompt engineering, and natural language processing. Developers leverage its capabilities for creating meeting summaries, report recommendations, and content ideas, thereby optimizing workflow efficiency.
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