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What is the difference between Apache Pulsar and Kafka?
Pulsar is an all-in-one system While Kafka is just a one-system solution, Pulsar is both a streaming platform and distributed messaging system. Kafka is an excellent solution for businesses that need to handle high performance and vast amounts of data.
What is Apache Pulsar used for?
Apache Pulsar is an open source streaming project that was built at Yahoo as a streaming platform to solve for some of the limitations in Kafka. There are four areas where Pulsar is particularly strong: geo-replication, scaling, multitenancy, and queuing.
Who uses Apache Pulsar?
And over 600 plus companies have adopted Pulsar and it’s growing at a faster pace. And some of the companies that is running Pulsar in production includes Verizon Media, which is Yahoo, Yahoo Japan, Tencent and Splunk, recently adopted Pulsar and a big way.
What is a pulsar broker?
Brokers. The Pulsar message broker is a stateless component that’s primarily responsible for running two other components: An HTTP server that exposes a REST API for both administrative tasks and topic lookup for producers and consumers.
What is Apache Pulsar written in?
Pulsar functions can be written in Java, Python, or Go and can be configured to run as Kubernetes pods.
Who built Apache Pulsar?
Yahoo
Pulsar is a multi-tenant, high-performance solution for server-to-server messaging. Pulsar was originally developed by Yahoo, it is under the stewardship of the Apache Software Foundation.
What is Pulsar client?
Pulsar exposes a client API with language bindings for Java, Go, Python, C++ and C#. The client API optimizes and encapsulates Pulsar’s client-broker communication protocol and exposes a simple and intuitive API for use by applications.
What is pulsar data?
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What is Pulsar BookKeeper?
BookKeeper stores all durable message in Pulsar. BookKeeper is a distributed write-ahead log WAL system that guarantees read consistency of independent message logs calls ledgers. Individual BookKeeper servers are also called bookies.
What is Apache Kafka vs Spark?
Key Difference Between Kafka and Spark Spark is the open-source platform. Kafka has Producer, Consumer, Topic to work with data. Where Spark provides platform pull the data, hold it, process and push from source to target. Kafka provides real-time streaming, window process.