Name: Apache Flume
Rating: 7.1 (9 reviews)
Author: Apache

Help Desk

Web and Video Conferencing

Customer Support

Agile Development

Image Recognition

Interactive Application Security Testing (IAST)

Service Mesh

Development

Alumni Management

Education

Business Intelligence (BI)

Collaboration

Contract Management

Streaming Analytics

Supply Chain Management

Enterprise

Accounting

Cash Flow Management

Investor Relations

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Application Lifecycle Management (ALM)

Cloud Storage

Data Integration

Data Lakehouse

Data Mapping

Database Load Balancing

Database Performance Monitoring

Debugging

Edge Computing

Ethernet Switches

Event Monitoring

Fraud Detection

Governance, Risk & Compliance

Integration Platform as a Service (iPaaS)

Internet Security

Managed Detection and Response (MDR)

Managed Hosting

Master Data Management (MDM)

Network Diagnostics

Network Performance Monitoring

Packet Analyzer

SQL Server Performance Monitoring

Storage Management

Tape Storage

Threat Intelligence

Virtual Private Cloud (VPC)

Information Technology

A/B Testing

AI Writing Assistant Software

Ad Serving & Retargeting

All-in-One Marketing

Community

Content Management

Digital Rewards

Email Marketing

Marketing Analytics

Marketing Automation

Predictive Analytics

Social Media Management

Survey & Forms Building

Video

Video Collaboration

Web Analytics

Marketing

Interactive Whiteboard

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales

Application Security

Microsegmentation

Security

3D Modeling

Animation

Computer-Aided Design (CAD)

Municipal

Vertical-Specific

Find top rated software and services based on in-depth reviews from verified users. 400+ software categories including PaaS, NoSQL, BI, HR, and more.

Apache Hadoop

Apache

Apache Spark

Apache Hive

Amazon EMR (Elastic MapReduce)

Amazon AWS

MongoDB

Cloudera Manager

Cloudera

Apache HBase

IBM Analytics Engine

Azure HDInsight

Microsoft

Presto

Open Source

Based on user reviews, the following recommendations for Apache Flume are commonly mentioned:
- Users suggest that Apache Flume is well-suited for simple data transformations during streaming from source to sink.
- If fault tolerance and data persistence are crucial factors in a streaming application, it is recommended to consider alternatives such as Apache Kafka, Splunk, or Apache NiFi.
- Some users note that Apache Flume has a relatively high learning curve. Therefore, newcomers may need to invest additional time and effort to become proficient in using the software effectively.

Easy Interpretation of Log Data: Users have found Apache Flume to be very easy to interpret log data in near real-time. Several reviewers have mentioned that the user-friendliness and ease of use make it a convenient tool for analyzing logs efficiently.

Support for Multiple Data Sources: The ability of Apache Flume to support data collection from a variety of data sources is highly appreciated by users. Many reviewers have praised its flexibility and integration with other open-source tools, allowing them to collect large volumes of data from multiple applications and systems effortlessly.

Scalability and Reliability: The scalability, reliability, and fault tolerance of Apache Flume are highly valued by users. Numerous reviewers have highlighted its capability to handle large amounts of streaming data, ensuring smooth operations even under heavy loads.

Reliability Issue: Some users have reported that Apache Flume is not as reliable as Apache Kafka. They have experienced issues where missed messages cannot be retrieved, leading to potential data loss and impacting the integrity of their data processing workflows.

Large Footprint: Users find the software to have a significant footprint with an excessive number of lines of Java code. This can make it resource-intensive and impact system performance, requiring more computational resources and potentially limiting scalability.

Lack of New Features: Reviewers believe that Apache Flume needs to evolve more and include new features periodically, similar to paid software. The lack of regular updates and additions can limit its capabilities for handling diverse data processing requirements, hindering its ability to adapt to changing business needs.

Apache Flume is widely recognized for its ability to process log data in near real-time, making it an excellent choice for log ingestion. Users have found Apache Flume to be highly effective in collecting, aggregating, and moving substantial amounts of log data. Its value goes beyond its free software status, as it has proven to be a valuable tool in enterprise data warehousing. For example, customers have successfully used Apache Flume as a connector to bring near real-time data from Pharmaceutical Machine data directly to HDFS for further processing. Additionally, Apache Flume's streaming ETL capabilities have allowed for efficient data collection from various sources and delivery to multiple destinations.

One of the standout features of Apache Flume is its ability to handle log processing without the need for repetitive pipeline runs, making it particularly useful in this regard. Furthermore, users have praised the software for its scalability, especially when streaming logs generated from online transaction processing applications to other consumer applications for analytical purposes. Apache Flume has also been seamlessly integrated into log acquisition solutions in environments where application log access is challenging. Customers have utilized Apache Flume for end-to-end logging, ensuring comprehensive monitoring coverage.

Another area where Apache Flume has excelled is in handling complex data transfers to Hadoop using HDFS—a task that was previously difficult to achieve. With fast ETL processes facilitated by Apache Flume, users can quickly extract, transform and load data. Some have even leveraged the software's capabilities for downloading marketing data, aiding in the development of effective marketing strategies. Furthermore, Apache Flume has proved invaluable in collecting data for analytics, particularly for new products entering the market.

Another notable use case is how Apache Flume has played a crucial role in generating monthly compliance reports based on log data, ensuring organizational compliance. Additionally, Apache Flume has seamlessly integrated with Change Data Capture systems to ingest near real-time database changes into Kafka. This integration has enabled real-time analysis, machine learning, and dynamic dashboards in Big Data environments. Overall, Apache Flume has proven to be a reliable solution for log ingestion, data transfer, ETL processes, marketing data collection, compliance reporting, and real-time analytics.

Apache Flume

Hadoop-Related

Likelihood to Recommend

Support Rating

The Apache Software Foundation provides support for the Apache community of open-source software projects. The Apache projects are characterized by a collaborative, consensus based development process, an open and pragmatic software license, and a desire to create high quality software that leads the way in its field.

We consider ourselves not simply a group of projects sharing a server, but rather a community of developers and users.

Hortonworks Data Platform

TIBCO Messaging

TIBCO Integration (including BusinessWorks and Flogo)

Logstash

Apache Kafka

Batch

Global Technology Centre - Middleware

Apache Flume 2017-11-03 03:17:34

Apama Community Edition

Spotfire Streaming

IBM MQ

Google Cloud Pub/Sub

Apache Flume 2019-12-14 13:52:11

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Hard to configure

Configure and use

New functionality

Third party

Management software

Hard to use

Data replication

Data storage

Machine learning

Easy to setup

Create filters

Sources of data

Data sources

Easy to customize

Move data

Relevant data

Auto saving

Home

Hadoop-Related Software

Apache Flume is a key software piece in BigData environments, we have used it along with CDC (Change Data Capture) to ingest near real time database changes into Kafka so the data is available for realtime analysis, machine learning, dynamic dashboards and so
on.

We have successfully integrated also Apache Flume in log acquisition solutions (mainly PaaS and Docker) where application log is difficult access.

Multiple sources of data (sources) and destinations (sinks) that allows you to move data form and to any relevant data storage
It is very easy to setup and run
Very open to personalization, you can create filters, enrichment, new sources and destinations

Apache Flume develops new functionality at a slower pace than other OpenSource projects, it is well behing Kafka and has some compatibiliy issues with latest releases
It lack HA or FT, it relies on third party management software like Hortonworks or Cloudera

Flume has simplified a lot many of our ingest procedures, easier to deploy and integrate than a classical EAI, reducing the time to market
But opposed to EAIs if the project starts to grow in complexity Apache Flume project may not be as suitable

Apache Kafka, Logstash, TIBCO BusinessWorks, TIBCO Enterprise Message Service

Apache Flume is used for aggregating and analyzing log data in near-real-time across the organization for compliance purposes with a goal to generate monthly compliance reports based on log data.

Apache Flume being a log-centric system, it is able to parse and aggregate log data very well.
It is easy to customize it for different source (producers) for log data ingestion as well as for sinks (consumers).

It is very specific for log data ingestion so it is pretty hard to use for anything else besides log data
Data replication is not built in and needs to be added on top of Apache Flume (not a hard job to do though)

Positive impact on ROI due to a reduction in manual labor to generate and maintain compliance reports based on logs.
Positive impact on the business objective by reducing the need for provisioning compute for log aggregate IT stack in advance but adding on an as-needed basis.

TIBCO Streaming (StreamBase), Apache Kafka, Google Cloud Pub/Sub, IBM MQ and Apama Streaming Analytics

Apama Streaming Analytics, TIBCO Streaming (StreamBase)

Apache Flume

Overview

What is Apache Flume?