Real-time data streaming is crucial for businesses, and choosing the right containerization tool for deploying applications and dependencies is a key consideration. Apache Kafka and Redpanda, popular streaming solutions, benefit from scalable infrastructure with low latency, where containers offer an efficient deployment method. While Docker is a widely-used platform that simplifies container creation and management, it may become cumbersome in production environments with external dependencies. Kubernetes, though more complex to set up, provides comprehensive container orchestration, making it suitable for large-scale, automated deployments. The decision between using Docker or Kubernetes depends on factors such as the scale of deployment, production needs, and familiarity with container technologies. Both tools have their advantages and trade-offs, and selecting the appropriate one involves evaluating the specific requirements of the streaming data platform, balancing simplicity with operational demands.