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# AWS Data Pipeline vs AWS Glue Comparison - What are their main differences?

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AWS Data PipelineAWS Glue[+ Add Product](#)

Reviews

**AWS Data Pipeline** [

4.1/5(24)

](https://www.g2.com/products/aws-data-pipeline/reviews#reviews)

**AWS Glue** [

4.3/5(202)

](https://www.g2.com/products/aws-glue/reviews#reviews)

Pricing

**AWS Data Pipeline**
No pricing available

**AWS Glue**
Free Trial

No pricing available

**Pricing Insights**
from reviews

Time to Implement

**AWS Data Pipeline**
Not enough reviews yet

**AWS Glue**
3 months

Based on 5 responses

Return on Investment

**AWS Data Pipeline**
Not enough reviews yet

**AWS Glue**
16 months

Based on 5 responses

Perceived Cost

**AWS Data Pipeline**
$$$$$

**AWS Glue**
$$$$$

Average Discount

**AWS Data Pipeline**
Not enough reviews yet

**AWS Glue**
13%

Pros & Cons

**AWS Data Pipeline**
Not enough data

**AWS Glue**
[
Ease of Use (6)
](https://www.g2.com/products/aws-glue/reviews?filters%5Bsentiment_snippet%5D=1848440&qs=pros-and-cons#reviews)[
Data Integration (3)
](https://www.g2.com/products/aws-glue/reviews?filters%5Bsentiment_snippet%5D=1849185&qs=pros-and-cons#reviews)[
Slow Performance (3)
](https://www.g2.com/products/aws-glue/reviews?filters%5Bsentiment_snippet%5D=1848042&qs=pros-and-cons#reviews)[
Debugging Difficulty (2)
](https://www.g2.com/products/aws-glue/reviews?filters%5Bsentiment_snippet%5D=2419754&qs=pros-and-cons#reviews)

Integrations

**AWS Data Pipeline**
Not enough data

**AWS Glue**
[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b3390b4cc3d92e87d570895f7358c003/amazon-athena.jpg "Product Avatar Image")

Amazon Athena

](https://www.g2.com/products/amazon-athena/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_5b5ecb6259c4c0d54368899a457a4e08/aws-step-functions.jpg "Product Avatar Image")

AWS Step Functions

](https://www.g2.com/products/aws-step-functions/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_a6c205d533dba77b318af96d91beb2ac/databricks.jpeg "Product Avatar Image")

Databricks

](https://www.g2.com/products/databricks/reviews)[
View all
](https://www.g2.com/products/aws-glue/integrations)

Ratings

Meets Requirements

**AWS Data Pipeline**

9.1

9.118

**AWS Glue**

8.5

8.5158

Ease of Use

**AWS Data Pipeline**

8.6

8.618

**AWS Glue**

8.4

8.4161

Ease of Setup

**AWS Data Pipeline**

6.9

6.97

**AWS Glue**

8.6

8.676

Ease of Admin

**AWS Data Pipeline**

6.9

6.97

**AWS Glue**

8.3

8.368

Quality of Support

**AWS Data Pipeline**

8.3

8.317

**AWS Glue**

8.3

8.3156

Has the product been a good partner in doing business?

**AWS Data Pipeline**

7.4

7.47

**AWS Glue**

8.8

8.868

Product Direction (% positive)

**AWS Data Pipeline**

6.1

6.118

**AWS Glue**

9.0

9.0157

Features

Machine Learning Data Catalog[Hide 54 FeaturesShow 54 Features](javascript:void(0);)

Not enough data

8.7

20

Data Governance

User Access Management

Not enough data

8.6(won by default)

17

Dynamic Data Masking

Not enough data

8.8(won by default)

14

Data Lineage

Not enough data

8.7(won by default)

14

Workflow Management

Not enough data

Not enough data

Data Preparation

Search

Not enough data

8.2(won by default)

17

Data Quality and Cleansing

Not enough data

8.9(won by default)

15

Data Transformation

Not enough data

8.9(won by default)

16

Data Modeling

Not enough data

8.8(won by default)

18

Collaboration

Commenting

Not enough data

8.2(won by default)

16

Profiling and Classification

Not enough data

9.0(won by default)

16

Business and Data Glossary

Not enough data

8.9(won by default)

16

Metadata Management 

Not enough data

8.6(won by default)

18

Master Data Management

Not enough data

Not enough data

Data Storage Management

Not enough data

Not enough data

Data Management

Not enough data

Not enough data

Artificial Intelligence

Machine Learning Recommendations

Not enough data

Feature Not Available

Natural Language Query

Not enough data

Feature Not Available

Automatic Data Cleansing

Not enough data

Feature Not Available

Generative AI

AI Text Generation

Not enough data

Not enough data

AI Text Summarization

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

Agentic AI - Machine Learning Data Catalog

Autonomous Task Execution

Not enough data

Not enough data

Multi-step Planning

Not enough data

Not enough data

Cross-system Integration

Not enough data

Not enough data

Adaptive Learning

Not enough data

Not enough data

Decision Making

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Additional Functionality

Metadata Extraction

Not enough data

Not enough data

Automatic Backup

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Collaboration Tools

Not enough data

Not enough data

Activity Tracking

Not enough data

Not enough data

Authentication

Not enough data

Not enough data

Data Security

Not enough data

Not enough data

Data Mapping

Not enough data

Not enough data

Archiving & Retention

Not enough data

Not enough data

Data Discovery

Not enough data

Not enough data

Data Catalog

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

Categorization/Grouping

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Tagging

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Role-Based Permissions

Not enough data

Not enough data

Single Sign On

Not enough data

Not enough data

Data Governance

Not enough data

Not enough data

Content Library

Not enough data

Not enough data

Data Synchronization

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

API

Not enough data

Not enough data

Data Preparation[Hide 25 FeaturesShow 25 Features](javascript:void(0);)

Not enough data

8.4

70

Data Source Access

Breadth of Data Sources

Not enough data

8.5(won by default)

60

Ease of Data Connectivity

Not enough data

8.4(won by default)

61

API Connectivity

Not enough data

8.5(won by default)

57

Data Interaction

Profiling and Classification

Not enough data

8.4(won by default)

58

Metadata Management

Not enough data

8.5(won by default)

62

Data Modeling

Not enough data

8.3(won by default)

61

Data Joining

Not enough data

8.8(won by default)

61

Data Blending

Not enough data

8.6(won by default)

54

Data Quality and Cleansing

Not enough data

8.9(won by default)

59

Data Sharing

Not enough data

8.6(won by default)

57

Data Governance

Not enough data

8.3(won by default)

58

Data Exporting

Breadth of Integrations

Not enough data

8.6(won by default)

58

Ease of Integrations

Not enough data

8.2(won by default)

58

Data Workflows

Not enough data

8.4(won by default)

61

Generative AI

AI Text Generation

Not enough data

6.9(won by default)

8

Generative AI

Not enough data

Not enough data

Additional Functionality

Data Analysis Tools

Not enough data

Not enough data

AI/Machine Learning

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Data Mapping

Not enough data

Not enough data

ETL

Not enough data

Not enough data

Big Data Analytics

Not enough data

Not enough data

Data Quality Control

Not enough data

Not enough data

Data Virtualization[Hide 51 FeaturesShow 51 Features](javascript:void(0);)

Not enough data

9.0

28

Administration

Database Management

Not enough data

9.1(won by default)

23

Access Control

Not enough data

9.0(won by default)

23

Data Security

Not enough data

9.1(won by default)

25

Remote Access/Control

Not enough data

Not enough data

Version Control

Not enough data

Not enough data

Remote Monitoring & Management

Not enough data

Not enough data

Capacity Management

Not enough data

Not enough data

Configuration Management

Not enough data

Not enough data

File Management

Not enough data

Not enough data

Compliance Management

Not enough data

Not enough data

Service Level Agreement (SLA) Management

Not enough data

Not enough data

Namespace Management

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Federation

Architecture

Not enough data

9.1(won by default)

24

Provisioning

Not enough data

9.2(won by default)

23

Orchestration

Not enough data

8.9(won by default)

22

API / Integrations

Not enough data

8.9(won by default)

22

Virtual Machine Provisioning

Not enough data

Not enough data

API

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Transformation

Data Visualization

Not enough data

8.7(won by default)

24

Application Performance

Not enough data

9.1(won by default)

23

Data Modeling

Not enough data

8.6(won by default)

24

Additional Functionality

Real-Time Reporting

Not enough data

Not enough data

Real-Time Monitoring

Not enough data

Not enough data

Two-Factor Authentication

Not enough data

Not enough data

Virtual Machine Encryption

Not enough data

Not enough data

Backup and Recovery

Not enough data

Not enough data

File Transfer

Not enough data

Not enough data

Server Monitoring

Not enough data

Not enough data

Secure Data Storage

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Data Migration

Not enough data

Not enough data

Virtual Machine Monitoring

Not enough data

Not enough data

Load Balancing

Not enough data

Not enough data

Remote Update/Installation

Not enough data

Not enough data

Archiving & Retention

Not enough data

Not enough data

Visual Analytics

Not enough data

Not enough data

Virtual Machine Snapshots

Not enough data

Not enough data

Role-Based Permissions

Not enough data

Not enough data

HIPAA Compliant

Not enough data

Not enough data

Performance Monitoring

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Desktop/Application Virtualization

Not enough data

Not enough data

Event Logs

Not enough data

Not enough data

Single Sign On

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

Disaster Recovery

Not enough data

Not enough data

Alerts/Escalation

Not enough data

Not enough data

Automatic Backup

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

ETL Tools[Hide 57 FeaturesShow 57 Features](javascript:void(0);)

Not enough data

8.9

82

Management

Reporting

Not enough data

8.7(won by default)

61

Auditing

Not enough data

8.7(won by default)

56

Functionality

Extraction

Not enough data

9.0(won by default)

67

Transformation

Not enough data

8.9(won by default)

73

Loading

Not enough data

9.2(won by default)

70

Automation

Not enough data

8.8(won by default)

69

Scalability

Not enough data

8.9(won by default)

70

Non-Relational Transformations

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Additional Functionality

Data Mapping

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Charting

Not enough data

Not enough data

Integration Management

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Ad hoc Analysis

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

API

Not enough data

Not enough data

Match & Merge

Not enough data

Not enough data

Real-Time Monitoring

Not enough data

Not enough data

Metadata Management

Not enough data

Not enough data

Pipeline Management

Not enough data

Not enough data

Job Scheduling

Not enough data

Not enough data

Dashboard Creation

Not enough data

Not enough data

Data Storage Management

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

Data Quality Control

Not enough data

Not enough data

Data Connectors

Not enough data

Not enough data

Customizable Reports

Not enough data

Not enough data

Single Sign On

Not enough data

Not enough data

Version Control

Not enough data

Not enough data

Visual Analytics

Not enough data

Not enough data

Accounting Integration

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

eCommerce Management

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

CRM

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

SSL Security

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Real-Time Analytics

Not enough data

Not enough data

Data Capture and Transfer

Not enough data

Not enough data

Collaboration Tools

Not enough data

Not enough data

Performance Management

Not enough data

Not enough data

Data Synchronization

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

Data Replication

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Database Support

Not enough data

Not enough data

Workflow Management

Not enough data

Not enough data

Alerts/Notifications

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

Data Migration

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Reporting & Statistics

Not enough data

Not enough data

Data Analysis Tools

Not enough data

Not enough data

Data Replication[Hide 7 FeaturesShow 7 Features](javascript:void(0);)

Not enough data

9.1

22

Management

Real-Time Analytics

Not enough data

9.1(won by default)

18

Solution Integration

Not enough data

9.0(won by default)

19

Infrastructure Compatibility

Not enough data

9.1(won by default)

18

Monitoring

Not enough data

9.1(won by default)

17

Solution Provision

System Failover

Not enough data

9.0(won by default)

16

Pay by Usage

Not enough data

8.8(won by default)

15

Service Provision

Not enough data

8.9(won by default)

16

Show 2 feature categories with incomplete data

AWS Marketplace[Hide 3 FeaturesShow 3 Features](javascript:void(0);)

Not enough data

Not enough data

Agentic AI - AWS Marketplace

Autonomous Task Execution

Not enough data

Not enough data

Multi-step Planning

Not enough data

Not enough data

Cross-system Integration

Not enough data

Not enough data

Backup[Hide 11 FeaturesShow 11 Features](javascript:void(0);)

Not enough data

Not enough data

Management

Disaster Recovery

Not enough data

Not enough data

Remote Backup

Not enough data

Not enough data

Storage Formats

Not enough data

Not enough data

Scheduled Backups

Not enough data

Not enough data

On-Demand Restoration

Not enough data

Not enough data

Reporting

Activity Monitoring

Not enough data

Not enough data

Documentation

Not enough data

Not enough data

Alerts/Notifications

Not enough data

Not enough data

Security

Data Encryption

Not enough data

Not enough data

Security and Compliance

Not enough data

Not enough data

Deduplication 

Not enough data

Not enough data

User Insights

Reviewers' Company Size

[![AWS Data Pipeline](https://images.g2crowd.com/uploads/product/hd_favicon/1528476492/aws-data-pipeline.svg "AWS Data Pipeline")](https://www.g2.com/products/aws-data-pipeline/reviews)

AWS Data Pipeline

Small-Business(50 or fewer emp.)

14.3%

Mid-Market(51-1000 emp.)

61.9%

Enterprise(\> 1000 emp.)

23.8%

[![AWS Glue](https://images.g2crowd.com/uploads/product/hd_favicon/1528476465/aws-glue.svg "AWS Glue")](https://www.g2.com/products/aws-glue/reviews)

AWS Glue

Small-Business(50 or fewer emp.)

22.7%

Mid-Market(51-1000 emp.)

29.4%

Enterprise(\> 1000 emp.)

47.9%

Small-Business

(50 or fewer emp.)

14.3%

22.7%

Mid-Market

(51-1000 emp.)

61.9%

29.4%

Enterprise

(\> 1000 emp.)

23.8%

47.9%

Reviewers' Industry

[![AWS Data Pipeline](https://images.g2crowd.com/uploads/product/hd_favicon/1528476492/aws-data-pipeline.svg "AWS Data Pipeline")](https://www.g2.com/products/aws-data-pipeline/reviews)
AWS Data Pipeline

Computer Software

23.8%

Telecommunications

14.3%

Information Technology and Services

9.5%

Financial Services

9.5%

Sports

4.8%

Other

38.1%

[![AWS Glue](https://images.g2crowd.com/uploads/product/hd_favicon/1528476465/aws-glue.svg "AWS Glue")](https://www.g2.com/products/aws-glue/reviews)
AWS Glue

Information Technology and Services

18.1%

Computer Software

15.0%

Financial Services

6.7%

Hospital & Health Care

5.7%

Computer & Network Security

4.1%

Other

50.3%

FAQs

## AWS Data Pipeline vs AWS Glue FAQs

Generated using AI

Last updated: August 14, 2026

### What is the difference between AWS Data Pipeline vs AWS Glue?

AWS Glue stands out from AWS Data Pipeline with a higher G2 rating, stronger recent reviewer sentiment, and a larger review base, while AWS Data Pipeline is more commonly used in mid-market and offers a slightly higher Meets Requirements score.

| [AWS Data Pipeline](https://www.g2.com/products/aws-data-pipeline/reviews) | [AWS Glue](https://www.g2.com/products/aws-glue/reviews) |
| --- | --- |
| 4.1/5 (24 reviews) | 4.3/5 (202 reviews) |
| Mid-Market | Enterprise |
| 6.9 | 8.6 |
| 8.3 | 8.3 |
| Easy to run Spark jobs, drag-and-drop UI | Serverless ETL, strong data cataloging, ease of use (6 all-time mentions) |

### How do the pricing models of AWS Data Pipeline and AWS Glue compare?

AWS Glue is rated higher for value by reviewers, with a stronger satisfaction score on price and cost-related dimensions.

- **AWS Data Pipeline:** Reviewers describe it as low cost and flexible, but some mention that the license version is expensive.
- **AWS Glue:** Reviewers highlight its cost-effectiveness, serverless pricing, and only paying for resources used, but note that costs can increase quickly if jobs are not optimized and that pricing can be difficult to predict.
- **Switching reasons:** Recent reviews mention moving to AWS Glue for its serverless model and automation, reducing manual effort and infrastructure management.

### What are the best alternatives to AWS Data Pipeline and AWS Glue?

The top three alternatives to AWS Data Pipeline and AWS Glue are Alteryx, Azure Data Factory, and Apache NiFi.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [AWS Data Pipeline](https://www.g2.com/products/aws-data-pipeline/reviews) | 4.1/5 (24 reviews) | Mid-Market | Low cost and flexible, but license version can be expensive | Easy to run Spark jobs, drag-and-drop UI |
| [AWS Glue](https://www.g2.com/products/aws-glue/reviews) | 4.3/5 (202 reviews) | Enterprise | Cost-effective serverless pricing, but costs can rise if not optimized | Serverless ETL, strong data cataloging, ease of use (6 all-time mentions) |
| [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5 (894 reviews) | Enterprise | — | — |
| [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) | 4.6/5 (101 reviews) | Enterprise | — | — |
| [Apache NiFi](https://www.g2.com/products/apache-nifi/reviews) | 4.2/5 (26 reviews) | Enterprise | — | — |

### Which ETL Tools features should I prioritize when comparing AWS Data Pipeline and AWS Glue?

Buyers should prioritize Ease of Setup, Data Integration, Transformation, Data Cataloging, and Scalability when comparing AWS Data Pipeline and AWS Glue.

- **Ease of Setup:** AWS Glue scores 8.6, AWS Data Pipeline 6.9.
- **Data Integration:** AWS Glue has 3 all-time mentions for data integration; AWS Data Pipeline is noted for integration with EMR and AWS services in reviews.
- **Transformation:** AWS Glue is frequently cited for ETL and transformation capabilities (3 all-time mentions for ETL Solutions); AWS Data Pipeline is used for Spark jobs and batch processing.
- **Data Cataloging:** AWS Glue has 2 all-time mentions for data cataloging and is highlighted for its Data Catalog feature in recent reviews.
- **Scalability:** AWS Glue has 2 all-time mentions for scalability and is described as highly scalable and serverless in recent reviews.

### What are the pros and cons of AWS Data Pipeline vs AWS Glue?

AWS Glue's headline strength is its serverless ETL and data cataloging, while AWS Data Pipeline is praised for its ease of use and integration with AWS services.

- **AWS Data Pipeline strengths:** Easy to run Spark jobs, drag-and-drop UI, integrates well with EMR, supports automation and scheduling, reliable for moving data between AWS sources.
- **AWS Data Pipeline trade-offs:** Maintenance mode limits new features, setup can be complex, error messages can be unclear, limited on-demand job execution, integration outside AWS is weaker.
- **AWS Glue strengths:** Serverless ETL, strong data cataloging (2 all-time mentions), ease of use (6 all-time mentions), scalable, integrates with S3, Athena, Redshift, supports PySpark, automates schema discovery, reduces operational overhead.
- **AWS Glue trade-offs:** Debugging can be difficult (2 all-time mentions), job startup time can be slow, costs can rise if not optimized, limited to Python and Scala, UI can be complex for beginners, integration with some third-party tools can be challenging.

### Is AWS Data Pipeline or AWS Glue better for small businesses?

AWS Data Pipeline is a better fit for small businesses, as it is most commonly used in the mid-market segment and is frequently described as low cost and easy to use.

- **AWS Data Pipeline:** Largest segment is Mid-Market; reviewers highlight its low cost, flexibility, and ease of use for smaller teams and projects.
- **AWS Glue:** Largest segment is Enterprise; reviewers note its scalability and automation, but also mention a steeper learning curve and higher costs for smaller workloads.

### Which ETL Tools platform has better integrations?

AWS Glue is favored for integrations, with reviewers citing its strong connections to other AWS services and data tools.

- **AWS Data Pipeline:** Reviewers mention integration with EMR and other AWS services, but no third-party integration counts are cited.
- **AWS Glue:** Amazon Athena is mentioned in 5 all-time reviews as a key integration, with additional recent mentions of S3, Redshift, and Lake Formation.

### How do AWS Data Pipeline and AWS Glue compare on customer support?

AWS Data Pipeline and AWS Glue are rated equally on Quality of Support, both scoring 8.3, indicating parity in reviewer satisfaction.

- **AWS Data Pipeline:** Reviewers describe support as generally responsive, with several citing helpfulness but noting that maintenance mode can slow bug fixes and feature requests.
- **AWS Glue:** Reviewers highlight helpful support, especially for cost optimization and troubleshooting, but some mention challenges with debugging and documentation.

### Which is easier to implement, AWS Data Pipeline or AWS Glue?

AWS Glue is rated significantly higher for Ease of Setup, scoring 8.6 compared to AWS Data Pipeline's 6.9, making it the easier product to implement.

- **AWS Data Pipeline:** Reviewers note that setup can be complex, with a learning curve and some challenges in configuring workflows and error handling.
- **AWS Glue:** Reviewers consistently describe setup as straightforward, with a user-friendly interface and automation features that reduce manual effort, though some mention a learning curve for advanced features.

### Which product has better Transformation?

AWS Glue is the stronger product for Transformation, with more frequent reviewer mentions and higher satisfaction for ETL and transformation capabilities.

- **AWS Data Pipeline:** Used for Spark jobs and batch processing, but lacks frequent transformation-specific mentions in recent reviews.
- **AWS Glue:** Transformation and ETL Solutions are cited in 3 all-time mentions, with reviewers highlighting its ability to automate, prepare, and transform large datasets efficiently.

Alternatives

**AWS Data Pipeline Alternatives**

 ![Azure Data Factory](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_f176b4154a751d10150daa67a57b7dc5/azure-data-factory.jpg "Azure Data Factory")

[
Azure Data Factory
](/products/azure-data-factory/reviews)

 ![Apache NiFi](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_d126f094f8a50e553d82706d908d28c4/apache-nifi.jpg "Apache NiFi")

[
Apache NiFi
](/products/apache-nifi/reviews)

 ![Fivetran](https://images.g2crowd.com/uploads/product/hd_favicon/1526948884/fivetran.svg "Fivetran")

[
Fivetran
](/products/fivetran/reviews)

 ![Workato](https://images.g2crowd.com/uploads/product/hd_favicon/5e21242185438a3b63b0b3cc5eb921b0/workato.svg "Workato")

[
Workato
](/products/workato/reviews)

**AWS Glue Alternatives**

 ![Alteryx](https://images.g2crowd.com/uploads/product/hd_favicon/5200f776b24b5976b8f7d151d1d2e8fd/alteryx.svg "Alteryx")

[
Alteryx
](/products/alteryx/reviews)

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Fivetran
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Workato
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## AWS Data Pipeline vs AWS Glue

When assessing the two solutions, reviewers found AWS Data Pipeline easier to use. However, AWS Glue is easier to set up and administer. Reviewers also preferred doing business with AWS Glue overall.

- Reviewers felt that AWS Data Pipeline meets the needs of their business better than AWS Glue.
- When comparing quality of ongoing product support, AWS Data Pipeline and AWS Glue provide similar levels of assistance.
- For feature updates and roadmaps, our reviewers preferred the direction of AWS Glue over AWS Data Pipeline.