Flume apache

1. What is the difference between Flume and Kafka?
2. What are Flume & Kafka used for?
3. What is Flume write functions of it?
4. What is Apache Flume in big data?

What is the difference between Flume and Kafka?

Kafka can support data streams for multiple applications, whereas Flume is specific for Hadoop and big data analysis. Kafka can process and monitor data in distributed systems whereas Flume gathers data from distributed systems to land data on a centralized data store.

What are Flume & Kafka used for?

Kafka and Flume both are used for real time event processing system. They both are developed by Apache. Kafka is a publish-subscribe model messaging system. It can be used to communicate between publisher and subscriber using topic.

What is Flume write functions of it?

Apache Flume is a tool/service/data ingestion mechanism for collecting aggregating and transporting large amounts of streaming data such as log files, events (etc...) from various sources to a centralized data store. ... It is principally designed to copy streaming data (log data) from various web servers to HDFS.

What is Apache Flume in big data?

Flume. Apache Flume. Apache Flume is an open-source, powerful, reliable and flexible system used to collect, aggregate and move large amounts of unstructured data from multiple data sources into HDFS/Hbase (for example) in a distributed fashion via it's strong coupling with the Hadoop cluster.