What is Apache Flume?

Apache Flume is an open-source data ingestion and collection tool for distributed systems. It is designed to efficiently collect, aggregate, and move large amounts of log data from multiple sources to a central data store, such as a data warehouse or a Hadoop cluster.

Flume is highly scalable and can handle very high-volume data streams, making it a popular choice for organizations that need to process and analyze large amounts of data in real time. It can also handle data from a variety of sources, including log files, social media feeds, and application logs.

Flume is built on top of a distributed, fault-tolerant architecture that allows it to handle data ingestion even if some nodes in the system fail. It also has a rich set of features, including support for multiple data sources and sinks, configurable data routing and transformation, and data reliability.

Apache Flume is an Apache project and is a part of the Apache Hadoop ecosystem. It is widely used in the big data industry and is especially helpful for gathering, aggregating, and transporting huge amounts of log data from diverse sources to a hub for additional processing and analysis.

For effectively aggregating, gathering, and transmitting enormous amounts of log data, Apache Flume is a dependable, distributed, and accessible piece of software. Its architecture is adaptable and straightforward and is built on streaming data flows. Java was used to write it. Each fresh batch of data is transformed by its own query-processing engine before being transferred to the intended sink. It is designed to be adaptable.