What is the main difference between Kafka and Flume?
Difference Between Apache Kafka and Apache Flume
| Apache Kafka | Apache Flume |
|---|---|
| It is basically working as a pull model. | It is basically working as a push model . |
| It is easy to scale. | It is not scalable in comparison with Kafka. |
| An fault-tolerant, efficient and scalable messaging system. | It is specially designed for Hadoop. |
What is Apache Storm topology?
A topology is a graph of stream transformations where each node is a spout or bolt. Each node in a Storm topology executes in parallel. In your topology, you can specify how much parallelism you want for each node, and then Storm will spawn that number of threads across the cluster to do the execution.
What is Kafka messaging?
What is Kafka? Apache Kafka is a distributed publish-subscribe messaging system and a robust queue that can handle a high volume of data and enables you to pass messages from one end-point to another. Kafka is suitable for both offline and online message consumption.
What is the difference between Apache Kafka and Apache spark?
Spark streaming is better at processing group of rows(groups,by,ml,window functions etc.) Kafka streams provides true a-record-at-a-time processing capabilities. it’s better for functions like rows parsing, data cleansing etc. Spark streaming is standalone framework.
What is Apache Storm vs Spark?
Apache Storm is an excellent solution for real-time stream processing but can prove to be complex for developers. Similarly, Apache Spark can help with multiple processing problems, such as batch processing, stream processing, and iterative processing, but there are issues with high latency.
What is the difference between Apache Spark and Apache Storm?
Apache Storm supports true stream processing model through core storm layer while Spark Streaming in Apache Spark is a wrapper over Spark batch processing. One key difference between these two technologies is that Spark performs Data-Parallel computations while Storm performs Task-Parallel computations.
What is Apache Kafka and how does it work?
Apache Kafka Concepts. Before we dig deeper,we need to be thorough about some concepts in Apache Kafka.
What is Apache Kafka, and do I need It?
Apache Kafka is a distributed publish-subscribe messaging system and a robust queue that can handle a high volume of data and enables you to pass messages from one end-point to another. Kafka is suitable for both offline and online message consumption. Kafka messages are persisted on the disk and replicated within the cluster to prevent data loss.
What is the difference between Apache Flume and Apache Sqoop?
Apache Sqoop and Apache Flume work with various kinds of data sources.