--- title: Apache Flume Reviews meta_title: 'Apache Flume Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 22 reviews by the users' company size, role or industry to find out how Apache Flume works for a business like yours. aggregate_rating: rating_value: 3.9 review_count: 22 scale: '5' date_modified: '2026-08-07' parent_category: name: IT Infrastructure url: https://www.g2.com/categories/it-infrastructure --- # Apache Flume Reviews **Vendor:** The Apache Software Foundation **Category:** [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse) **Average Rating:** 3.9/5.0 **Total Reviews:** 22 ## About Apache Flume Apache Flume is a service designed to efficiently collect, aggregate, and move large amounts of log data. ## Apache Flume Reviews ### 1. Apache flume **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** February 27, 2020 **What do you like best about Apache Flume?** its reliable distributed, supports aggregation of data. can be considered as an alternative to kafka. **What do you dislike about Apache Flume?** not scalable like kafka.for adding more consumers needs to change topology. **What problems is Apache Flume solving and how is that benefiting you?** moving large data ### 2. Decent tool **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Accounting | Small-Business (50 or fewer emp.) **Reviewed Date:** February 28, 2020 **What do you like best about Apache Flume?** flexibility and integration with other used open source tools **What do you dislike about Apache Flume?** not greate integration with azure cloud stack **What problems is Apache Flume solving and how is that benefiting you?** log processing ### 3. Apache Flume can be used as a highly scalable configuration for handling streaming data. **Rating:** 2.5/5.0 stars **Reviewed by:** Ginoy G. | Software engineer, Enterprise (> 1000 emp.) **Reviewed Date:** March 16, 2019 **What do you like best about Apache Flume?** Apache Flume can be configured as a topology of pluggable components which can perform simple transformations on the data in transit. **What do you dislike about Apache Flume?** The failover strategies are not as efficient as other streaming applications like Kafka or NiFi and as a result, It is quite easy to lose the data in transit. **Recommendations to others considering Apache Flume:** Apache Flume might be a good fit when simple transformations on the data are only that's required while streaming from source to sink. It is also highly scalable but comes with at the price of being less reliable, and it is also easy to lose data if proper fault-tolerant strategies are not in place. If the data being streamed is highly sensitive and needs to be replicated to ensure fault tolerance and persistence, consider other streaming application configurations like Apache Kafka, Splunk, or Apache NiFi. These alternatives offer better control on the persistence of data with replay and resume from a previous section in the stream of data. They also support multiple consumers reading from the same stream of data independent of each other. This is particularly important and useful if your one or many of the nodes in your configuration go down in the middle of streaming activity. **What problems is Apache Flume solving and how is that benefiting you?** Apache Flume can be used to stream logs generated from an online transaction processing application and sent to other consumer applications for analytical purposes. One of the benefits of using Flume is that it is highly scalable and the components can be plugged in as required. ### 4. Apache Review **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Accounting | Mid-Market (51-1000 emp.) **Reviewed Date:** May 28, 2018 **What do you like best about Apache Flume?** I like how intuitive the design is. The UI flow is very natural, and they consistently work to improve the product. **What do you dislike about Apache Flume?** I dislike how much red is everywhere. Whenever I go to use a new ticket, all I see is red red red!! Can we some blue or green please? **What problems is Apache Flume solving and how is that benefiting you?** We mostly use it for distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flow. ## Apache Flume Discussions - [What is the best way to implement security protocols in Apache Flume?](https://www.g2.com/discussions/25867-what-is-the-best-way-to-implement-security-protocols-in-apache-flume) - 1 upvote - [View Apache Flume pricing details and edition comparison](https://www.g2.com/products/apache-flume/reviews?filters%5Bnps_score%5D%5B%5D=3§ion=pricing&secure%5Bexpires_at%5D=2026-08-12+11%3A46%3A14+-0500&secure%5Bsession_id%5D=d5f372ed-ede2-49c1-9f85-f0204370ff08&secure%5Btoken%5D=ef1c2eaf53c4aca1464927ad94754b1b802a852272e62a2596c2727f925dd9dc&format=llm_user) ## Apache Flume Features **Data Management** - Data Integration - Data Compression - Data Quality - Built-In Data Analytics - In-Database Machine Learning - Data Lake Analytics - ETL - Extract Transfer Load - Data Capture and Transfer - Real-Time Analytics - Reporting/Analytics **Integration** - BI Tool Integration **Deployment** - On-Premise - Cloud **Performance ** - Scalability **Security** - Data Governance - Data Security **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Additional Functionality** - Parallel Processing - Ad hoc Analysis - Multiple Data Sources - API - In-Database Processing - Monitoring - Real-Time Reporting - Data Synchronization - Real-Time Monitoring - Data Connectors - Performance Metrics - Ad hoc Reporting - Alerts/Notifications - Access Controls/Permissions - Drag & Drop - Data Visualization - Data Import/Export - Match & Merge - Data Transformation - Secure Data Storage - Data Extraction - AI Copilot - Customizable Reports - Activity Dashboard - Data Migration - In-Memory Processing - Data Mapping ## Top Apache Flume Alternatives - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,145 reviews) - [IBM Db2](https://www.g2.com/products/ibm-db2/reviews) - 4.1/5.0 (599 reviews) - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) - 4.3/5.0 (371 reviews)