AWS Glue vs Informatica PowerCenter comparison

Amazon Web Services (AWS) and Informatica are both solutions in the Cloud Data Integration category. Additionally, 90% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 91% of Informatica users who would recommend it.

AWS Glue

Read 50 AWS Glue reviews

8,314 Views
5,986 Comparison Views

90% willing to recommend

Informatica PowerCenter

Read 85 Informatica PowerCenter reviews

13,353 Views
10,015 Comparison Views

91% willing to recommend

AWS Glue

Informatica PowerCenter

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 3, 2026

Informatica PowerCenter and AWS Glue are prominent competitors in the data integration and ETL space. Informatica PowerCenter appears to hold an advantage in handling complex transformations and integration capabilities, whereas AWS Glue excels with cloud compatibility and cost control for serverless operations.

Features: Informatica PowerCenter is noted for its comprehensive transformation capabilities, stability, and efficiency in managing large data volumes. Its rich integration features make it adaptable for diverse data sources. AWS Glue is known for its seamless integration with AWS services, serverless processing, and automatic scaling, making it cost-effective for ETL tasks.

Room for Improvement: Informatica PowerCenter could benefit from integrating modern data sources like JSON, improving cloud-centric features, and offering better documentation. Users are also concerned about its high licensing costs. AWS Glue users recommend enhancements in performance with large datasets, better error handling, and expanding integration beyond AWS. The pricing for extensive data processing is another concern.

Ease of Deployment and Customer Service: Informatica PowerCenter is mainly on-premises with robust support, although responses can be slow due to third-party distributor involvement. AWS Glue's cloud-native setup offers scalability and serverless support, with AWS resources available online, though some users find the technical support merely adequate.

Pricing and ROI: Despite the high costs of Informatica PowerCenter, its features provide a good return on investment for enterprises tackling intricate data solutions. AWS Glue’s pay-as-you-go model can become expensive with large data volumes, but the flexible pricing is appreciated when usage is optimized, providing measurable cost benefits.

To learn more, read our detailed AWS Glue vs. Informatica PowerCenter Report (Updated: April 2026).

Buyer's Guide

AWS Glue vs. Informatica PowerCenter

April 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

ROI

Sentiment score

5.9

Organizations find AWS Glue efficient and cost-effective despite overhead costs, though some consider alternatives due to budget constraints.

Sentiment score

8.3

Informatica PowerCenter provides cost-effective, flexible data management, enhancing decision-making, efficiency, and return on investment for businesses.

I advocate using Glue in such cases.

reviewer2322996

Data Architect at a financial services firm with 10,001+ employees

For more quotes and insights, download the AWS Glue report

It also plays a vital role in revenue calculations, net asset valuations, and other key factors that support customer data and investment data pipelines.

Garima Goel

Associate Principal Engineer at Nagarro

The investment we have made is tremendous; it has saved a lot of time and effort, and fewer people are needed.

reviewer2794014

Operations Engineer at a computer software company with 501-1,000 employees

The return on investment is very good, as I previously mentioned, because the development team has been reduced to half, and it has saved us around one hour per day since we switched to Informatica PowerCenter.

Hemanthreddy Vakiti

Data engineer at a tech vendor with 10,001+ employees

For more quotes and insights, download the Informatica PowerCenter report

Customer Service

Sentiment score

6.5

AWS Glue customer service is praised for responsiveness and effectiveness, with mixed feedback on support speed, costs, and consistency.

Sentiment score

7.0

Informatica PowerCenter's support is mostly well-rated, though some users report delays and desire improved complex problem understanding.

Upgrades occur every four months, and new developments coincide with version updates.

Nivas Srinivasan

Principal Consultant at a retailer with 1,001-5,000 employees

For complex Glue-related problems such as job failures or permission issues, their documentation is good, but having direct access to support helps cut down troubleshooting time significantly.

Sridivya Chillappa

application security engineer at Hyperspace IT India

For more quotes and insights, download the AWS Glue report

The documentation is thorough, and anyone with minimal knowledge of ETL can easily understand it and work through errors.

Hemanthreddy Vakiti

Data engineer at a tech vendor with 10,001+ employees

I like the technical support provided by Informatica.

Prof. Dr. Rolando Casamayor

Professor of Economics of Informatic at CMAYOR

I have occasionally needed to communicate with the technical support of Informatica PowerCenter, especially when raising cases for complex mappings and performance optimization to identify bottlenecks in transformations.

Garima Goel

Associate Principal Engineer at Nagarro

For more quotes and insights, download the Informatica PowerCenter report

Scalability Issues

Sentiment score

7.8

AWS Glue is highly scalable and serverless, praised for easy resource management, but needs better parallel computation.

Sentiment score

6.8

Informatica PowerCenter offers scalability but faces limitations and cost challenges, especially compared to cloud alternatives in real-time applications.

It is beneficial to upgrade jobs, and we conduct extensive testing in development before migrating to production.

Nivas Srinivasan

Principal Consultant at a retailer with 1,001-5,000 employees

It can easily handle data from one terabyte to 100 terabytes or more, scaling nicely with larger datasets.

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

For more quotes and insights, download the AWS Glue report

In the cloud, scaling up and down becomes easy when working with cloud providers.

Garima Goel

Associate Principal Engineer at Nagarro

The scalability of Informatica PowerCenter is tremendous because we can install it on any of our employees' systems, and it handles each and every task very swiftly.

reviewer2794014

Operations Engineer at a computer software company with 501-1,000 employees

We can easily scale the memory and also the workflows.

Hemanthreddy Vakiti

Data engineer at a tech vendor with 10,001+ employees

For more quotes and insights, download the Informatica PowerCenter report

Stability Issues

Sentiment score

7.9

AWS Glue is stable and reliable with minor issues, scaling well, and efficient due to serverless architecture and tool integration.

Sentiment score

7.9

Informatica PowerCenter is highly reliable with minimal issues, praised for its stability and dependable performance across industries.

AWS Glue is highly stable, and I would rate its stability as nine.

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

For more quotes and insights, download the AWS Glue report

We are getting 100% uptime every day.

reviewer2794014

Operations Engineer at a computer software company with 501-1,000 employees

Informatica PowerCenter is stable and can scale well.

Prof. Dr. Rolando Casamayor

Professor of Economics of Informatic at CMAYOR

The product is very stable with very few issues encountered in production.

Garima Goel

Associate Principal Engineer at Nagarro

For more quotes and insights, download the Informatica PowerCenter report

Room For Improvement

AWS Glue faces challenges with startup times, interface complexity, language limitations, cost, performance, integration, and multi-cloud compatibility.

Informatica PowerCenter users seek enhanced flexibility, modern interface, better integration, and improved support, with cost and scalability concerns.

Migrating jobs from version 3.0 to 4.0 can present compatibility issues.

Nivas Srinivasan

Principal Consultant at a retailer with 1,001-5,000 employees

With AWS, I gather data from multiple sources, clean it up, normalize it, de-duplicate it, and make it presentable.

reviewer2322996

Data Architect at a financial services firm with 10,001+ employees

A more user-friendly and simpler process would help speed up the deployment process.

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

For more quotes and insights, download the AWS Glue report

With Informatica PowerCenter, I am looking for an AI interface that looks at the underlying data model of the databases and the metadata of the tables, allowing the developer to provide instructions on what data sources to connect to and how to apply or create Transformations.

Narasimha MLV

Director at a computer software company with 1,001-5,000 employees

Utilizing more stored procedures from Oracle databases in an easy way would significantly boost performance.

Prof. Dr. Rolando Casamayor

Professor of Economics of Informatic at CMAYOR

Informatica Cloud and its support becomes quite expensive for the organization compared to peers such as SnapLogic or Netezza, which offer lower pricing.

Garima Goel

Associate Principal Engineer at Nagarro

For more quotes and insights, download the Informatica PowerCenter report

Setup Cost

AWS Glue offers flexible, efficient serverless architecture but can be costly and unpredictable, especially for smaller organizations.

Informatica PowerCenter's high pricing suits large enterprises, with costs beginning at $100,000 annually, limiting smaller businesses.

Costing depends on resource usage, and cost optimization may involve redesigning jobs for flexibility.

Nivas Srinivasan

Principal Consultant at a retailer with 1,001-5,000 employees

AWS charges based on runtime, which can be quite pricey.

reviewer2322996

Data Architect at a financial services firm with 10,001+ employees

The smallest cost for a project is around €700, while the largest can reach up to €7,000 based on the scale of the usage.

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

For more quotes and insights, download the AWS Glue report

I find that the pricing and licensing for Informatica PowerCenter align with its quality.

Prof. Dr. Rolando Casamayor

Professor of Economics of Informatic at CMAYOR

The price of Informatica PowerCenter is high, especially for small and medium-sized businesses.

Narasimha MLV

Director at a computer software company with 1,001-5,000 employees

We haven't paid for it; our client had paid for this tool.

reviewer2794014

Operations Engineer at a computer software company with 501-1,000 employees

For more quotes and insights, download the Informatica PowerCenter report

Valuable Features

AWS Glue excels with its easy interface, scalable ETL processing, seamless AWS integration, affordability, and serverless architecture.

Informatica PowerCenter offers a user-friendly interface, robust transformations, seamless integration, scalability, and automation for efficient data management.

For ETL, I feel the performance is excellent. If I create jobs in a standard way, the performance is great, and maintenance is also seamless.

Nivas Srinivasan

Principal Consultant at a retailer with 1,001-5,000 employees

AWS Glue's most valuable features include its transformation capabilities, which provide data quality and shape for processing in ML or AI models.

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

AWS Glue has reduced efforts by 60%, which is the main benefit.

Sridivya Chillappa

application security engineer at Hyperspace IT India

For more quotes and insights, download the AWS Glue report

The system supports real-time integration, which is essential for many of my tasks.

Prof. Dr. Rolando Casamayor

Professor of Economics of Informatic at CMAYOR

Informatica monitors can be used to monitor the jobs that we run, and if there is any kind of failure, we can diagnose it right away.

reviewer2794014

Operations Engineer at a computer software company with 501-1,000 employees

Another valuable feature is the use of Mapplets; if we have one mapping created that we want to use again and again for other workflows, we can create a Mapplet and save it so that we can reuse the mapping, reducing our workload.

Hemanthreddy Vakiti

Data engineer at a tech vendor with 10,001+ employees

For more quotes and insights, download the Informatica PowerCenter report

Categories and Ranking

AWS Glue

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Integration (1st)

Informatica PowerCenter

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Integration (3rd), Data Visualization (11th)

Featured Reviews

Sridivya Chillappa

application security engineer at Hyperspace IT India

Efficient data integration reduces operational time and enhances metadata management

For the initial setup with AWS Glue, I find it easy to set up the data catalog and create Glue jobs using the visual editor or the visual code. Setting permission sets via IAM rules can be a bit tricky at the start, but we ensure Glue has access to AWS S3, Redshift, and other services. Once the role is configured, it runs smoothly. For advanced configurations, connecting to VPCs and setting up connections with JDBC sources takes more time compared to my cloud experience, but overall, for someone with cloud and ETL experience, the setup is manageable and well done.

Read full review

Garima Goel

Associate Principal Engineer at Nagarro

Has supported complex data pipeline creation but performance tuning and monitoring responsiveness need improvement

Sometimes, I see various performance issues with Informatica PowerCenter, including caching concerns, whether it's a joiner transformation or other transformations, so I believe the team can enhance the performance perspectives of these transformations. Additionally, sometimes the Informatica Monitor hangs or takes time to open the current run or logs, which the team can also look into. Informatica is transitioning to cloud solutions and discontinuing on-premise support after 2026, so when we discuss Informatica Cloud and its support, it becomes quite expensive for the organization compared to peers such as SnapLogic or Netezza, which offer lower pricing. Informatica Cloud Intelligence's pricing is notably high.

Read full review

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Comparison Review

it_user90069

BI Expert at a healthcare company with 1,001-5,000 employees

Feb 20, 2014

Informatica PowerCenter vs. Microsoft SSIS - each technology has its advantages but also have similarities

Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

19%

Manufacturing Company

Computer Software Company

Comms Service Provider

Financial Services Firm

16%

Manufacturing Company

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	6
Large Enterprise	34

By reviewers
Company Size	Count
Small Business	15
Midsize Enterprise	11
Large Enterprise	75

Questions from the Community

How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

See all answers

How does Talend Open Studio compare with AWS Glue?

We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in...

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What are the most common use cases for AWS Glue?

AWS Glue's main use case is for allowing users to discover, prepare, move, and integrate data from multiple sources. The product lets you use this data for analytics, application development, or ma...

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How does Azure Data Factory compare with Informatica PowerCenter?

Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...

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Which is better - SSIS or Informatica PowerCenter?

SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called SSIS. The collection helps organizations boost productivity with code-free compo...

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Which Informatica product would you choose - PowerCenter or Cloud Data Integration?

Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...

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Comparisons

AWS Database Migration Service vs AWS Glue

Compared 39% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs AWS Glue

Compared 6% of the time

SSIS vs AWS Glue

Compared 5% of the time

Palantir Foundry vs AWS Glue

Compared 4% of the time

Amazon Data Firehose vs AWS Glue

Compared 4% of the time

More AWS Glue Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs Informatica PowerCenter

Compared 7% of the time

WhereScape RED vs Informatica PowerCenter

Compared 5% of the time

Oracle Data Integrator (ODI) vs Informatica PowerCenter

Compared 5% of the time

SSIS vs Informatica PowerCenter

Compared 5% of the time

SAS Data Management vs Informatica PowerCenter

Compared 4% of the time

More Informatica PowerCenter Competitors

Product Reports

Buyer's Guide

AWS Glue

May 2026

Download AWS Glue product report

Buyer's Guide

Informatica PowerCenter

May 2026

Download Informatica PowerCenter product report

Also Known As

No data available

PowerCenter

Overview

AWS Glue is a serverless data integration service offering seamless integration with AWS services like S3, Redshift, and Athena. Known for its flexibility with data formats and automation of ETL tasks, AWS Glue enhances data management and transformation.

AWS Glue facilitates seamless data extraction, transformation, and loading for businesses, integrating with key AWS services, allowing efficient data pipeline automation. It's valued for a user-friendly GUI, scalability, and cost-effectiveness, supporting PySpark for complex datasets and includes a robust data catalog, real-time backup capabilities, and code generation. Despite its strengths, improvements are needed in documentation, training, and broader programming language support. Users face challenges with its complex interface and integration with non-AWS products, driving demand for enhancements in its usability and performance.

What are AWS Glue's most important features?

Seamless AWS Integration: Connects effortlessly with services like S3, Redshift, and Athena.
Serverless Operation: Removes the need for infrastructure management.
Flexible Data Format Handling: Supports various data formats for comprehensive data management.
User-Friendly GUI: Simplifies the creation and management of ETL jobs.
Data Catalog: Provides an organized repository for metadata management.
Real-Time Data Backup: Ensures data integrity and availability.
Code Generation: Facilitates easy script generation for data processes.

What benefits or ROI should users look for in reviews?

Cost Efficiency: Reduced operational costs through serverless architecture.
High Performance: Efficient data processing and transformation capabilities.
Scalability: Adapts to businesses' evolving data demands.
Ease of Use: Intuitive interface allowing streamlined ETL workflows.
Automation: Simplified data pipeline tasks saving time and effort.

Businesses leverage AWS Glue in industries for ETL processes, data integration, and transformation. It is used to optimize data lakes or warehouses integration, enhancing data cataloging and real-time integration. Its serverless feature enables efficient data processing in sectors like finance and healthcare, where handling complex data-intensive tasks is crucial.

Amazon Web Services (AWS)

Informatica PowerCenter is known for its robust data integration, scalability, and user-friendly interfaces. It simplifies data processing with real-time capabilities, handling large datasets efficiently. Its adaptability with diverse sources makes it suitable for complex data environments.

Informatica PowerCenter offers extensive transformation options with features like flow designer, mapping, and error handling, enhancing development efficiency. Its GUI interface allows seamless integration across different platforms, making it suitable for managing extensive datasets. Traceability and support cater to evolving data requirements, while adaptability with multiple sources aids in driving strategic data outputs. Some areas for improvement include a more robust cloud strategy, better documentation, and improved API integrations. Enhanced automation and setup processes could further refine the experience.

What are the key features of Informatica PowerCenter?

Data Integration: Facilitates robust data handling across numerous platforms.
Real-Time Processing: Manages data workflows efficiently in real-time.
Transformation Options: Provides extensive options for data mapping and manipulation.
Error Handling: Enhances development through efficient error management.
Scalability: Supports growing data needs with adaptability across diverse systems.

What benefits should users look for?

Scalability: Supports growth with efficient data management and integration.
Efficiency: Offers user-friendly interfaces for streamlined workflows.
Support: Provides traceability and comprehensive support for large data handling.
Adaptability: Integrates seamlessly with various data platforms, enhancing flexibility.
Future-Preparedness: Ready for transition to cloud environments for better scalability.

Informatica PowerCenter plays a vital role in data integration and ETL processes for building data warehouses. Industries like banking, insurance, and healthcare utilize it for extracting, transforming, and loading data into target systems, supporting analytics, reporting, and compliance. Companies often transition to cloud environments for enhanced scalability and efficiency.

Informatica

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank

Buyer's Guide

AWS Glue vs. Informatica PowerCenter

April 2026

Free Report: AWS Glue vs. Informatica PowerCenter

Find out what your peers are saying about AWS Glue vs. Informatica PowerCenter and other solutions. Updated: April 2026.

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