Kappa architecture is a data-processing architecture that is designed to process data in real time. It is a single-layer architecture that uses a streaming processing engine to process data as it is received. This architecture is simpler and more efficient than the Lambda architecture, and it can be implemented at a lower cost.
Lambda architecture is a data processing architecture designed to handle large amounts of data by combining batch processing with real-time stream processing.Lambda architecture provides a way to handle both real-time and batch processing in a single architecture.
Data Mesh architecture is a modern approach to data engineering and data operations that aims to improve the scalability, agility, and innovation of data teams within organizations. It is based on the principles of domain-oriented ownership, product thinking, self-serve data infrastructure, platform thinking, data as a first-class citizen, democratized data access, and a culture of collaboration.