Data stream processing delivers faster results and a better user experience — powered by ML and automation.
Python is the primary language for machine learning applications, but it isn’t easily compatible with streaming data — until now. Introducing the Quix SDK made for Python developers.
How in-memory data processing is improving personalized customer experiences across industries
We tested Apache Spark vs Apache Flink vs Quix Streams on performance and flexibility. The results surprised us.
Dive deep into the performance and limitations of Python client libraries to choose the best stream processing solution for your data.
I tested three Python client libraries — Apache Spark, Apache Flink, and Quix — on performance, scalability and ease of use. Here’s what I learned.