---
title: Apache Fluo Reviews
meta_title: 'Apache Fluo Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter reviews by the users' company size, role or industry to find
  out how Apache Fluo works for a business like yours.
aggregate_rating:
  rating_value: 4.0
  review_count: 2
  scale: '5'
date_modified: '2026-06-07'
parent_category:
  name: Big Data
  url: https://www.g2.com/categories/big-data
---

# Apache Fluo Reviews
**Vendor:** The Apache Software Foundation  
**Category:** [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution)  
**Average Rating:** 4.0/5.0  
**Total Reviews:** 2
## About Apache Fluo
Apache Fluo is an open source implementation of Percolator (which populates Google&#39;s search index) for Apache Accumulo.




## Apache Fluo Reviews
  ### 1. A Comprehensive Review of Apache Fluo: Enhancing Real-Time Data Processing

**Rating:** 4.0/5.0 stars

**Reviewed by:** Suraj G. | Software Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** September 12, 2024

**What do you like best about Apache Fluo?**

Incremental Processing: Apache Fluo excels in processing data incrementally. Instead of reprocessing an entire dataset every time there’s an update, it only processes the new or changed data.
Scalability: Fluo is built to scale out with the underlying Accumulo infrastructure. As data volume grows, Fluo can scale horizontally by adding more nodes to the cluster, ensuring that performance remains consistent

**What do you dislike about Apache Fluo?**

Complexity: Setting up and configuring Apache Fluo can be complex. It requires a good understanding of both Apache Accumulo and Fluo itself. 
Dependency on Accumulo: Fluo relies on Apache Accumulo, which itself can be complex to manage and configure.

**What problems is Apache Fluo solving and how is that benefiting you?**

Apache Fluo handles incremental processing, meaning it only processes the data that has changed since the last update. This avoids the need to reprocess the entire dataset, leading to significant improvements in efficiency and speed.
Reduced processing time and quicker data updates translate to lower latency, improving the responsiveness and timeliness of data-driven applications.

  ### 2. WorkFluos with Apache Fluo

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Civil Engineering | Mid-Market (51-1000 emp.)

**Reviewed Date:** August 15, 2018

**What do you like best about Apache Fluo?**

Convenience of not having to reprocess data to add new ones

**What do you dislike about Apache Fluo?**

Runs into a few issues when Hadoop is running,  needs fixes

**Recommendations to others considering Apache Fluo:**

Be careful while rolling out Data Processing algorithms from Hadoop. Fluo handles large data well but may not be the best tool for bundle tool use

**What problems is Apache Fluo solving and how is that benefiting you?**

I have been using Apache Fluo to deal with Big Data.The best benefit is that it automatically implements incremental changes. Accumulo accomodates Fluo very well and processes are usually standardized. It does run into some snags with Hadoop so that needs to be remedied. Apart from that  Fluo really helps me process WorkFlows


## Apache Fluo Discussions
  - [What is Apache Fluo used for?](https://www.g2.com/discussions/what-is-apache-fluo-used-for)

- [View Apache Fluo pricing details and edition comparison](https://www.g2.com/products/apache-fluo/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-24+22%3A30%3A34+-0500&secure%5Bsession_id%5D=de40f956-4799-46ef-8b30-066e7421e6db&secure%5Btoken%5D=27637b305ef969a45d6e991eb3e6eb0404958325107cc8af40a1593163038965&format=llm_user)

## Apache Fluo Features
**Database**
- Real-Time Data Collection
- Data Distribution
- Data Lake

**Integrations**
- Hadoop Integration
- Spark Integration

**Platform**
- Machine Scaling
- Data Preparation
- Spark Integration

**Processing**
- Cloud Processing
- Workload Processing

**Building Reports**
- Data Transformation
- Data Modeling
- WYSIWYG Report Design
- Integration APIs

**Platform**
- Mobile User Support
- Customization 
- User, Role, and Access Management
- Internationalization
- Sandbox / Test Environments
- Performance and Reliability
- Breadth of Partner Applications

## Top Apache Fluo Alternatives
  - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,147 reviews)
  - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) - 4.4/5.0 (2,127 reviews)
  - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,284 reviews)

