---
title: FlinkML Reviews
meta_title: 'FlinkML Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter reviews by the users' company size, role or industry to find
  out how FlinkML works for a business like yours.
aggregate_rating:
  rating_value: 5.0
  review_count: 1
  scale: '5'
date_modified: '2026-06-21'
parent_category:
  name: Big Data
  url: https://www.g2.com/categories/big-data
---

# FlinkML Reviews
**Vendor:** Flink  
**Category:** [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution)  
**Average Rating:** 5.0/5.0  
**Total Reviews:** 1
## About FlinkML
FlinkML is the Machine Learning (ML) library for Flink it has a growing list of algorithms and contributors that aim to provide scalable ML algorithms, an intuitive API, and tools that help minimize glue code in end-to-end ML systems.




## FlinkML Reviews
  ### 1. Very good software for worke

**Rating:** 5.0/5.0 stars

**Reviewed by:** Marvin P. | Manager of Communications, Enterprise (> 1000 emp.)

**Reviewed Date:** August 31, 2018

**What do you like best about FlinkML?**

I have implemented flinkml for a unified platform to process batch data, the software works brilliantly, is extremely fast and efficient, this software have a wide field of application and is usable for dozens of big data scenarios. Although Flink can run standalone, it usually runs on top of an HDFS installation to read/write distributed files. In addition, Flink can run with YARN support and let YARN deal with the cluster resources, something very useful

**What do you dislike about FlinkML?**

The only negative thing I've experienced is that flink are optimized by cost-based optimizer (SQL engines). So Flink applications will be required re-configuration and maintenance whenever the cluster characteristics change and the data evolves over time,but only that, in everything else flink fulfills its function

**What problems is FlinkML solving and how is that benefiting you?**

In my opinion Flink is a great choice, because I do not have to face so much "out-of-memory" problems during the development. Flink has it's own Memory Manager, so in general you do not need to care about it.

Among the benefits are -high performance, flink’s data streaming runtime provides very high throughput
-low latency flink can process the data in sub-second range without any delay
-lightning fast speed, it processes data at lightning fast speed (hence also called as 4G of big data)
-fault tolerance, failure of hardware, node, software or a process doesn’t affect the cluster.


## FlinkML Discussions
  - [What is FlinkML used for?](https://www.g2.com/discussions/flinkml-what-is-flinkml-used-for)
  - [What is FlinkML used for?](https://www.g2.com/discussions/what-is-flinkml-used-for)

- [View FlinkML pricing details and edition comparison](https://www.g2.com/products/flinkml/reviews?section=pricing&secure%5Bexpires_at%5D=2026-07-03+14%3A11%3A29+-0500&secure%5Bsession_id%5D=69dae54a-1ebf-4563-9f73-c0d80258de49&secure%5Btoken%5D=bc106c741d5f09dcf995a59074349e92c68d1122e25a11b7bb767b708a526d2f&format=llm_user)

## FlinkML 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 FlinkML Alternatives
  - [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)
  - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,145 reviews)