A massive amount of data is used in Big Data. In terms of data, we face two major challenges. The first is determining how to collect a large volume of data, and the second is analysing the collected data. To overcome these obstacles, you'll need a messaging system.
Our expert Kafka consultants can easily accommodate your Data management requirements.
Kafka is intended for use in distributed high-throughput systems. As a replacement for a more traditional message broker, Kafka works very well. Kafka has higher throughput, built-in partitioning, replication, and inherent fault-tolerance when compared to other messaging systems, making it a good fit for large-scale message processing applications.
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Kafka is distributed, partitioned, replicated, and fault tolerant.
Scalability The Kafka messaging system scales easily and without interruption.
Kafka uses a distributed commit log, which means that messages are stored on disc as quickly as possible, making it durable.
Kafka's throughput is high for both publishing and subscribing messages. Even when many TB of messages are stored, it maintains stable performance.
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