Bulk vs batch import: API design guidance

The article by Jennifer Craig delves into the intricacies of API bulk and batch import approaches, offering design guidance for optimizing data import processes. Bulk import involves a single API request to import a large dataset efficiently, while batch import breaks the data into smaller batches, sending separate requests for each, which is beneficial when payload sizes are limited. The discussion highlights the differences in error handling between the two methods, where bulk processing allows for handling errors post-import, and batch processing requires resolving errors within each batch. The article underscores the importance of choosing the right approach based on API capabilities and performance needs, and it introduces advanced considerations such as adaptive sync and async processing designs for larger operations. Additionally, the article touches on the value of Tyk's API management solutions, which facilitate efficient bulk and batch importing by leveraging tools and technologies to enhance API performance and security.