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Benchmarking Pulsar and Kafka: A More Accurate Perspective on Pulsar's Performance
Today, many companies are looking at real-time data streaming applications to develop new products and services. Organizations must first understand the advantages and differentiators of the different event streaming systems before they can select the technology best-suited to meet their business needs.
Benchmarks are one method organizations use to compare and measure the performance of different technologies. In order for these benchmarks to be meaningful, they must be done correctly and provide accurate information. Unfortunately, it is all too easy for benchmarks to fail to provide accurate insights due to any number of issues.
Sijie Guo
Sijie’s journey with Apache Pulsar began at Yahoo! where he was part of the team working to develop a global messaging platform for the company. He then went to Twitter, where he led the messaging infrastructure group and co-created DistributedLog and Twitter EventBus. In 2017, he co-founded Streamlio, which was acquired by Splunk, and in 2019 he founded StreamNative. He is one of the original creators of Apache Pulsar and Apache BookKeeper, and remains VP of Apache BookKeeper and PMC Member of Apache Pulsar. Sijie lives in the San Francisco Bay Area of California.
Penghui Li
Penghui Li is passionate about helping organizations to architect and implement messaging services. Prior to StreamNative, Penghui was a Software Engineer at Zhaopin.com, where he was the leading Pulsar advocate and helped the company adopt and implement the technology. He is an Apache Pulsar Committer and PMC member. Penghui lives in Beijing, China.
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