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Real-time streaming data can be valuable for numerous applications and purposes across industries. In the case of the New York Stock Exchange (NYSE), streaming data is literally money.
The NYSE is one of the largest financial exchanges in the world and has a lengthy history of being able to share its financial market data.
A hundred years ago it used telegraph based ticker tape to share information. In the modern era it has developed its own low-latency, high-performance technologies deployed on-premises that other organizations can connect with.
Now it’s taking the next step forward, embracing a model based on the open-source Apache Kafka streaming technology that brings NYSE Best Quote and Trades (BQT) data to the AWS cloud.
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To do that, NYSE partnered with streaming data platform vendor Redpanda, which has developed its own implementation of Kafka written in the C++ programming language.
NYSE’s deployment of Redpanda’s C++-based streaming platform achieved 4-5x performance improvements over traditional Kafka competitors, exposing fundamental limitations in how most organizations handle bursty data workloads.
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