Data integration performance can be significantly impacted by network bottlenecks, particularly when dealing with high-volume data sources like operational databases. Common causes of slowdowns include insufficient resources on database instances, security protocols that limit bandwidth, and inter-region or inter-cloud transfers. Buffer management and compression techniques also play a role in determining network performance. To improve data integration speed, consider scaling up infrastructure, re-architecting the process to reduce points of transition, optimizing algorithms, parallelizing execution, and properly leveraging compression and decompression.