AWS Glue vs IBM Cloud Pak for Integration comparison

Why PeerSpot?

Amazon Web Services (AWS) and IBM are both solutions in the Cloud Data Integration category. Amazon Web Services (AWS) is ranked #1 with an average rating of 7.8, while IBM is ranked #28. Amazon Web Services (AWS) holds a 7.7% mindshare in CDI, compared to IBM’s 1.3% mindshare. Additionally, 90% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

AWS Glue

Read 50 AWS Glue reviews

9,651 Views
7,335 Comparison Views

90% willing to recommend

IBM Cloud Pak for Integration

Read 5 IBM Cloud Pak for Integration reviews

2,837 Views
1,021 Comparison Views

100% willing to recommend

AWS Glue

IBM Cloud Pak for Integration

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 3, 2024

AWS Glue and IBM Cloud Pak for Integration are both data integration products, with IBM Cloud Pak showing an advantage due to its extensive capabilities.

Features: AWS Glue provides strong ETL capabilities, automatic schema inference, and smooth integration with other AWS services. Meanwhile, IBM Cloud Pak for Integration offers robust support for various integration patterns, extensive connectors, and a hybrid approach suited for complex enterprise needs.

Room for Improvement: AWS Glue could improve in offering more extensive support beyond the AWS ecosystem and enhancing real-time data processing. Additionally, the user interface can be more intuitive, and it can offer more robust in-built transformation features. IBM Cloud Pak for Integration could benefit from reductions in complexity for initial setup, streamlining licensing costs, and better optimization for small to medium-sized businesses.

Ease of Deployment and Customer Service: AWS Glue provides a serverless, managed model that scales automatically, simplifying its deployment within AWS environments. IBM Cloud Pak for Integration offers flexibility with various cloud environments and on-premise options appealing to hybrid deployments. IBM is known for comprehensive support resources, which could be more advantageous than AWS Glue's support services.

Pricing and ROI: AWS Glue is competitively priced on a pay-as-you-go basis, appealing to those with budget constraints. It offers quick time-to-value. Conversely, IBM Cloud Pak for Integration, while possibly having higher initial costs, offers comprehensive enterprise-grade features that provide a higher ROI, especially in intricate integration scenarios.

To learn more, read our detailed AWS Glue vs. IBM Cloud Pak for Integration Report (Updated: September 2026).

Buyer's Guide

AWS Glue vs. IBM Cloud Pak for Integration

September 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:

Categories and Ranking

AWS Glue

Ranking in Cloud Data Integration

1st

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Cloud Pak for Integration

Ranking in Cloud Data Integration

28th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

API Management (36th)

Mindshare comparison

As of September 2026, in the Cloud Data Integration category, the mindshare of AWS Glue is 7.7%, down from 14.8% compared to the previous year. The mindshare of IBM Cloud Pak for Integration is 1.3%, down from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
AWS Glue	7.7%
IBM Cloud Pak for Integration	1.3%
Other	91.0%

Cloud Data Integration

Featured Reviews

Nivas Srinivasan

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

The solution improves ETL performance but faces challenges with version upgrades

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. It is serverless, so I do not need to worry about other integrations. It runs on a serverless VM. Glue services from AWS are regularly upgraded with new properties and functions. We use PySpark and other frameworks, which help customize our ETL process in a standard way. During our process, we utilized the typical SQL ITIL process standard in Glue-oriented ETL services, which helped us improve performance and time. AWS running time, mostly during the morning, saved us time compared to the old ETL method. There are many email notifications once a job is successful or fails, and we get notifications using SES or AWS's Simple Notification Service. Glue is integrated with both email alerts, and we are responsible for managing the full data journey from end to end.

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Neelima Golla

Senior Software Engineer at NessPRO Italy

A hybrid integration platform that applies the functionality of closed-loop AI automation

I recommend using it because, in today's context, the cloud plays a significant role. Within the same user interface, you can develop applications and manage multiple applications, making it a more user-friendly option. Moreover, you can explore various other technologies while deploying on the cloud, broadening your knowledge of cloud technologies. In my case, the transition led to my learning of Kubernetes, enabling multi-scaling and expanding my technical skills. It was a valuable experience, and I had the opportunity to learn many new things during the migration process. I can easily rate it an eight or nine out of ten.

Read full review

Quotes from Members

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

Pros

"It is a very scalable solution."

"The solution’s most valuable feature is the ETL job."

"The product has a valuable feature for data catalog."

"You do not need many frameworks to run Glue."

"The solution integrates well with other AWS products or services."

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

"The key role for Glue is that it hosts our metadata before rolling out our actual data. This is the major advantage of using this solution and our clients client have been very satisfied with it."

"If I'm working with big data, common languages like Python work quite nicely, which is advantageous."

More AWS Glue pros

"The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."

"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."

"Cloud Pak for Integration is definitely scalable. That is the most important criteria."

"The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of our policies and everything is managed through JCP. It's still among the positive aspects, and it's a valuable feature."

"In general, the solution works very, very well."

"It is a stable solution."

Cons

"The mapping area and the use of the data catalog from Glue could be better."

"AWS Glue should be more reliable and faster in processing. Enhancing the speed of data processing would be beneficial."

"AWS Glue is more costly compared to other tools like Airflow."

"It would be better if it were more user-friendly. The interesting thing we found is that it was a little strange at the beginning. The way Glue works is not very straightforward. After trying different things, for example, we used just the console to create jobs. Then we realized that things were not working as expected. After researching and learning more, we realized that even though the console creates the script for the ETL processes, you need to modify or write your own script in Spark to do everything you want it to do. For example, we are pulling data from our source database and our application database, which is in Aurora. From there, we are doing the ETL to transform the data and write the results into Redshift. But what was surprising is that it's almost like whatever you want to do, you can do it with Glue because you have the option to put together your own script. Even though there are many functionalities and many connections, you have the opportunity to write your own queries to do whatever transformations you need to do. It's a little deceiving that some options are supposed to work in a certain way when you set them up in the console, but then they are not exactly working the right way or not as expected. It would be better if they provided more examples and more documentation on options."

"It needs improvements in terms of Java support and the turnaround time for our problems."

"The setup and installation is a bit complex without advanced knowledge or training."

"Improvements in the UI are needed, as it is challenging to understand some functionalities."

"The crucial problem with AWS Glue is that it only works with AWS."

More AWS Glue cons

"Setting up Cloud Pak for Integration is relatively complex. It's not as easy because it has not yet been fully integrated. You still have some products that are still not containerized, so you still have to run them on a dedicated VM."

"Its queuing and messaging features need improvement."

"The pricing can be improved."

"Enterprise bots are needed to balance products like Kafka and Confluent."

"What needs to be improved is the restriction that they have on the product."

"The initial setup is not easy."

Pricing and Cost Advice

"AWS Glue is a high-priced solution that bills the client $150,000 to $250,000 annually."

"I rate pricing an eight out of ten."

"If you are using the solution for an enterprise business, it will be expensive."

"Technical support is a paid service, and which subscription you have is dependent on that. You must pay one of them, and it ranges from $15,000 to $25,000 per year."

"The overall cost of AWS Glue could be better. It cost approximately $1,000 a month. There is paid support available from AWS Glue."

"Its price is good. We pay as we go or based on the usage, which is a good thing for us because it is simple to forecast for the tool. It is good in terms of the financial planning of the company, and it is a good way to estimate the cost. It is also simple for our clients. In my opinion, it is one of the best tools in the market for ETL processes because of the fact that you pay as you use, which separates it from other big tools such as PowerCenter, Pentaho Data Integration, and Talend."

"I rate the tool an eight on a scale of one to ten, where one is expensive, and ten is expensive."

"AWS Glue uses a pay-as-you-go approach which is helpful. The price of the overall solution is low and is a great advantage."

More AWS Glue pricing and cost advice

"The solution's pricing model is very flexible."

"It is an expensive solution."

See which vendors are best for you

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913,806 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

Comms Service Provider

Computer Software Company

Financial Services Firm

13%

Manufacturing Company

11%

Construction Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	5
Large Enterprise	34

No data available

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...

See all answers

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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Comparisons

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Compared 4% of the time

Amazon Data Firehose vs AWS Glue

Compared 3% of the time

Zapier vs AWS Glue

Compared 3% of the time

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AVAP Sphere vs IBM Cloud Pak for Integration

Compared 9% of the time

IBM App Connect vs IBM Cloud Pak for Integration

Compared 8% of the time

IBM API Connect vs IBM Cloud Pak for Integration

Compared 8% of the time

IBM DataPower Gateway vs IBM Cloud Pak for Integration

Compared 6% of the time

MuleSoft API Manager vs IBM Cloud Pak for Integration

Compared 4% of the time

More IBM Cloud Pak for Integration Competitors

Product Reports

Buyer's Guide

AWS Glue

September 2026

Download AWS Glue product report

Buyer's Guide

API Management

September 2026

Download IBM Cloud Pak for Integration product report

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)

IBM Cloud Pak for Integration offers multi-cloud management and automation, focusing on connecting core systems for seamless integration using advanced technologies and efficient API management.

IBM Cloud Pak for Integration provides flexibility, automation, and accounting tools on the OpenShift Container Platform, easing license and management. Among its notable features are effective streaming capabilities, simplified policy implementation via JCP, and enhanced control with redirection, particularly beneficial for microservices management. Its stability and practical container management are major advantages. However, limitations include exclusive IBM product deployment over OpenShift and complex initial setup. Users seek better pricing, enhanced streaming features, improved queuing and messaging, and integration with monitoring tools. Enhanced enterprise bots are needed for balance with Kafka and Confluent.

What are IBM Cloud Pak for Integration's key features?

Flexibility: Supports multi-cloud management and automation for seamless integration.
Streaming: Effective streaming feature for data processing and policy implementation.
Redirection: Enhances control and access for microservices management.
OpenShift Platform: Simplifies licensing and management with container technology.

What benefits should users look for in reviews?

Efficiency: Simplified policy implementation and automation reduce operational challenges.
Control: Enhanced management of microservices and APIs for streamlined operations.
Stability: Robust container management for consistent performance.
Integration: Supports integration with multiple technologies like Kafka and DataPower.

Implemented across industries like travel and banking, IBM Cloud Pak for Integration aids in connecting core systems and enables effective automation and API management. It supports data conversion, format alterations, and comprehensive management of numerous APIs, providing deployment options based on specific needs.

IBM

Sample Customers

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

CVS Health Corporation

Buyer's Guide

AWS Glue vs. IBM Cloud Pak for Integration

September 2026

Free Report: AWS Glue vs. IBM Cloud Pak for Integration

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