Flume
Flume is an open source distributed service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows, and can be used to transport massive quantities of event data including log data and
log-data
data-aggregation
data-pipelines
streaming
Flume: Open Source Log Data Management
Flume is an open source distributed service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows, and can be used to transport massive quantities of event data including log data and social media data.
What is Flume?
Flume is an open source distributed service for efficiently collecting, aggregating, and moving large amounts of log data. It is designed to be flexible, scalable, and reliable for handling massive quantities of data.
Some key features of Flume include:
- Simple and flexible architecture based on streaming data flows
- Highly available through failover and recovery
- Robust and reliable with transactional flows
- Horizontally scalable to handle increasing data volumes
- Pluggable design supports custom sources, sinks, channels, interceptors, etc
- Integrates well with other big data tools like HDFS, HBase, Solr, Kafka, etc
Flume is well suited for gathering large amounts of web/application logs or social media data like tweets in real time. The lightweight agent architecture allows Flume to be installed on many web servers with minimal overhead. Data flows through memory or disk-based channels and sinks to final storage in Hadoop or other systems. Additional agents can be added anywhere to fan out and replicate flows.
Flume Features
Features
- Distributed service for collecting, aggregating and transporting large amounts of log data
- Flexible, fault tolerant and robust architecture based on data flow streams
- Horizontally scalable with support for adding agents on demand
- Pluggable sources, sinks, channels and interceptors
- Supports multiple sources, channels and sinks within an agent
- Reliable and durable with transactional guarantees on the data flow
Pricing
- Open Source
Pros
Highly scalable and flexible architecture
Easy to deploy and manage
Integrates well with Hadoop ecosystem
Reliable data delivery
Low resource usage
Cons
Complex configuration
Steep learning curve
No built-in data transformation capabilities
Limited monitoring and management capabilities
Official Links
The Best Flume Alternatives
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