1. Deployment Environment: Docker is a containerization platform that allows you to create isolated environments for applications, while PyCharm is an integrated development environment (IDE) specifically designed for Python development. Docker focuses on packaging and distributing applications with all dependencies, making it easy to deploy applications consistently across different environments. On the other hand, PyCharm provides tools for writing, testing, debugging, and deploying Python code within its development environment.

2. Flexibility and Portability: Docker provides a high level of flexibility and portability as containers can run on any operating system that supports Docker. This makes it easier to move applications between different environments without worrying about compatibility issues. In contrast, PyCharm is limited to the Python programming language and may not offer the same level of portability and flexibility as Docker.

3. Resource Utilization: Docker containers are lightweight and consume fewer resources compared to traditional virtual machines, which makes them efficient for running multiple applications on a single host. PyCharm, being an IDE, consumes more resources as it provides a comprehensive set of tools for Python development, including code completion, debugging, and version control integration. This difference in resource utilization can impact the performance and scalability of applications.

4. Collaboration and Sharing: Docker allows for easy collaboration and sharing of application environments through container images, which can be shared with team members or the community. PyCharm, while supporting collaborative development through version control systems, may not offer the same level of ease when it comes to sharing development environments with others. This difference can influence how efficiently teams work together on projects.

5. Containerization vs. Development Tools: The primary focus of Docker is containerization, enabling developers to package and deploy applications with ease, while PyCharm focuses on providing a rich set of development tools tailored specifically for Python developers. Docker streamlines the deployment process, whereas PyCharm enhances the development experience by offering features like code inspection, refactoring, and unit testing tools.

6. Learning Curve: Using Docker may require a learning curve for beginners due to its concepts around containers, images, and Dockerfile configuration. In comparison, PyCharm is relatively easier to start with for Python developers as it provides an intuitive interface and built-in tools for coding. The learning curve between Docker and PyCharm varies based on the individual's familiarity with containerization and Python development.

In Summary, Docker and PyCharm serve different purposes, with Docker focusing on containerization and deployment, while PyCharm is an IDE tailored for Python development, each with their unique strengths and use cases.