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Apache Flume is widely recognized for its ability to process log data in near real-time, making it an excellent choice for log ingestion. …
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What is Apache Flume?
Apache Flume is a product enabling the flow of logs and other data into a Hadoop environment.
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- Tech Details
What is Apache Flume?
Apache Flume is a product enabling the flow of logs and other data into a Hadoop environment.
Apache Flume Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
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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.
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.
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.
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