---
title: AWS Data Pipeline Reviews
meta_title: 'AWS Data Pipeline Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 24 reviews by the users' company size, role or industry to
  find out how AWS Data Pipeline works for a business like yours.
aggregate_rating:
  rating_value: 4.1
  review_count: 24
  scale: '5'
date_modified: '2026-08-07'
parent_category:
  name: Cloud Data Integration
  url: https://www.g2.com/categories/cloud-data-integration
---


# AWS Data Pipeline Reviews
**Vendor:** Amazon Web Services (AWS)  
**Category:** [ETL Tools](https://www.g2.com/categories/etl-tools)  
**Average Rating:** 4.1/5.0  
**Total Reviews:** 24
## About AWS Data Pipeline
AWS Data Pipeline is a web service that helps you process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals.




## AWS Data Pipeline Reviews
  ### 1. Powerful, but needs better GUI Tools

**Rating:** 3.0/5.0 stars

**Reviewed by:** Sheehan A. | Software Engineering Manager, Pro Team Services, Sports, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 23, 2016

**What do you like best about AWS Data Pipeline?**

AWS Data Pipeline makes it very easy to get started and move data between various sources. If you're already using AWS services such as S3 or Redshift, Data Pipeline heavily reduces the lines of code / applications required to move data between AWS data sources.

You can simply run data pipeline on a schedule, specify where you want to move data between, and tell it to run processing in a series of steps if you need to filter your data. It is a good and simple way to do basic data movement.

Pipeline retries, gives you errors, and has a dashboard that shows you all of the jobs that are in queue.

**What do you dislike about AWS Data Pipeline?**

Data Pipeline can be a black box at times. Error messages are not good, and it is difficult to understand what exactly failed since it is an amazon service. The scheduler doesn't give timely notifications at times, so it is hard to determine the true state of the data pipeline

**Recommendations to others considering AWS Data Pipeline:**

If you are a small company and don't want to spend resources building your own pipeline, use AWS. It is out of the box, gets the job done,  and you can learn to work around some of its deficiencies. It provides a great way to schedule the movement of data.

**What problems is AWS Data Pipeline solving and how is that benefiting you?**

We have various ETL jobs that run on data pipeline. We move data between various sources into a data warehouse for final reporting. Data pipeline is used to move all data into a single data lake, and then run pre-processing steps before loading into a warehouse.


## AWS Data Pipeline Discussions
  - [What is AWS Data Pipeline used for?](https://www.g2.com/discussions/what-is-aws-data-pipeline-used-for)

- [View AWS Data Pipeline pricing details and edition comparison](https://www.g2.com/products/aws-data-pipeline/reviews?filters%5Bnps_score%5D%5B%5D=3&section=pricing&secure%5Bexpires_at%5D=2026-08-12+21%3A00%3A08+-0500&secure%5Bsession_id%5D=6969c26a-a82a-4407-a62e-02245ea02344&secure%5Btoken%5D=4830eaf6ab3dd91027c5c75d653da5650dbee5a6a699fd1c1e74c49707766c20&format=llm_user)

## AWS Data Pipeline Features
**Management**
- Reporting
- Auditing

**Functionality**
- Extraction
- Transformation
- Loading
- Automation
- Scalability
- Non-Relational Transformations
- Data Extraction

**Additional Functionality**
- Data Mapping
- Monitoring
- Charting
- Integration Management
- Reporting/Analytics
- Ad hoc Analysis
- Access Controls/Permissions
- API
- Match & Merge
- Real-Time Monitoring
- Metadata Management
- Pipeline Management
- Job Scheduling
- Dashboard Creation
- Data Storage Management
- Multiple Data Sources
- Data Import/Export
- Generative AI
- Data Quality Control
- Data Connectors
- Customizable Reports
- Single Sign On
- Version Control
- Visual Analytics
- Accounting Integration
- Real-Time Data
- eCommerce Management
- AI Copilot
- CRM
- Data Visualization
- SSL Security
- Search/Filter
- Real-Time Analytics
- Data Capture and Transfer
- Collaboration Tools
- Performance Management
- Data Synchronization
- Drag & Drop
- Data Replication
- Activity Dashboard
- Database Support
- Workflow Management
- Alerts/Notifications
- Predictive Analytics
- Data Migration
- Third-Party Integrations
- Reporting & Statistics
- Data Analysis Tools

## Top AWS Data Pipeline Alternatives
  - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) - 4.6/5.0 (96 reviews)
  - [Apache NiFi](https://www.g2.com/products/apache-nifi/reviews) - 4.2/5.0 (26 reviews)
  - [Fivetran](https://www.g2.com/products/fivetran/reviews) - 4.3/5.0 (808 reviews)