AWS Glue vs IBM Cloud Pak for Integration comparison

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 7.6, while IBM is ranked #18 with an average rating of 8.0. Amazon Web Services (AWS) holds a 7.6% 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

8,314 Views
5,986 Comparison Views

90% willing to recommend

IBM Cloud Pak for Integration

Read 5 IBM Cloud Pak for Integration reviews

2,133 Views
789 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: June 2026).

Buyer's Guide

AWS Glue vs. IBM Cloud Pak for Integration

June 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

18th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

API Management (27th)

Mindshare comparison

As of June 2026, in the Cloud Data Integration category, the mindshare of AWS Glue is 7.6%, down from 18.8% compared to the previous year. The mindshare of IBM Cloud Pak for Integration is 1.3%, down from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
AWS Glue	7.6%
IBM Cloud Pak for Integration	1.3%
Other	91.1%

Cloud Data Integration

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.

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Igor Khalitov

Owner/Full Stack Software Engineer at Maraphonic, Inc.

Manages APIs and integrates microservices with redirection feature

IBM Cloud Pak for Integration includes monitoring capabilities to track the performance and health of your integrations. You can quickly roll back to a previous version if an issue arises. Additionally, it supports incremental deployments, allowing you to shift traffic to a new version of an API gradually. For example, you can start by directing 10% of traffic to the new version while the rest continue using the legacy version. If everything works as expected, you can gradually increase the traffic to the new version over time. IBM Cloud Pak for Integration has a client base that includes numerous organizations using AI and machine learning technologies. We leverage an open-source machine learning framework and integrate it with Kafka to help create and manage various products and data retrieval processes. For companies with private data, the framework first retrieves relevant data from a GitHub database, which is then combined with the final request before being sent to a language model like GPT. This ensures that the language model uses your specific data to generate responses. Kafka plays a key role by streaming real-time data from file systems and databases like Oracle and Microsoft SQL. This data is published to Kafka topics, then vectorized and used with artificial intelligence to enhance the overall process. It's like an old-fashioned approach. The best way is to redesign it with products such as Kafka. Overall, I rate the solution an eight 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

"The solution is serverless so it allows us to transform data while optimizing the cost and performance of Spark jobs."

"The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."

"AWS Glue is fast and managed by AWS. Hence, you don't have to worry about capacity and the performance of Glue jobs. It has integrations with other data stores of AWS. The product offers metadata management, logging, and ETL processing capabilities. It comes with a powerful feature, Glue Studio, which helps to do queries interactively within the community. It is a managed service and very secure. Another popular and mature service is S3."

"AWS Glue is a highly stable solution."

"The solution is highly user-friendly, and its features are easy to use. The new addition of AWS Glue Data Catalog is also very beneficial, making the tool even more helpful for its users."

"The most valuable feature for me is the visual interface of AWS Glue."

"It's fairly straightforward as a product; it's not very complicated."

"We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure."

More AWS Glue pros

"It is a stable solution."

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

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

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

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

"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."

Cons

"It is very difficult to learn the tool and remember the syntaxes comparatively."

"Cost-wise, AWS Glue is expensive, so that's an area for improvement. The process for setting up the solution was also complex, which is another area for improvement."

"There is a learning curve to this tool."

"AWS Glue's error handling is difficult."

"We face performance issues when using AWS Glue for data transformation and integration."

"When there is a need to configure connections to different database sources in respect of the target, it would be good if it were easier to deal with roles."

"The solution should offer features for streaming data in addition to batching data."

"The overall cost of AWS Glue could be better. It cost approximately $1,000 a month."

More AWS Glue cons

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

"The pricing can be improved."

"Its queuing and messaging features need improvement."

"The initial setup is not easy."

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

"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."

Pricing and Cost Advice

"This solution is affordable and there is an option to pay for the solution based on your usage."

"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."

"I rate the tool's pricing a four out of ten."

"It is not expensive. AWS Glue works on the serverless architecture. We get charged for the time the server is up. For our use case, we have to use it once in a day, and it is not expensive for us."

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

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

"I would rate the solution a six or seven on a scale of one to ten, with ten being very expensive. Specifically, I rate its pricing a six out of ten."

"AWS Glue follows a pay-as-you-go model, wherein the cost of the data you use will be counted as a monthly bill."

More AWS Glue pricing and cost advice

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

"It is an expensive solution."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

Computer Software Company

Comms Service Provider

Financial Services Firm

14%

Government

11%

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	6
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...

See all answers

What needs improvement with IBM Cloud Pak for Integration?

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

See all answers

What is your primary use case for IBM Cloud Pak for Integration?

It manages APIs and integrates microservices at the enterprise level. It offers a range of capabilities for handling APIs, microservices, and various integration needs. The platform supports thousa...

See all answers

What advice do you have for others considering IBM Cloud Pak for Integration?

See all answers

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

Rivery vs AWS Glue

Compared 3% of the time

More AWS Glue Competitors

AVAP Sphere vs IBM Cloud Pak for Integration

Compared 10% of the time

IBM App Connect vs IBM Cloud Pak for Integration

Compared 10% of the time

IBM API Connect vs IBM Cloud Pak for Integration

Compared 9% of the time

IBM DataPower Gateway vs IBM Cloud Pak for Integration

Compared 7% of the time

MuleSoft API Manager vs IBM Cloud Pak for Integration

Compared 6% of the time

More IBM Cloud Pak for Integration Competitors

Product Reports

Buyer's Guide

AWS Glue

June 2026

Download AWS Glue product report

Buyer's Guide

API Management

June 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

June 2026

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