AWS Glue vs Informatica Intelligent Data Management Cloud (IDMC) comparison

AWS Glue vs. Informatica Intelligent Data Management Cloud (IDMC)

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

7.1

Informatica's cloud platform enhances data management efficiency, cost savings, and data security, requiring effective change management for optimal results.

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

Leadership prefers to utilize third-party tools, such as Snowflake, which has both storage and ELT features.

For more quotes and insights, download the Informatica Intelligent Data Management Cloud (IDMC) report

Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte

The stability and performance remain issues.

reviewer946383

consultant at a energy/utilities company with 5,001-10,000 employees

Compared to Collibra Catalog, where the value is noticeable within six months.

reviewer2696502

Data and Analytics Manager at a insurance company with 10,001+ employees

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

6.9

Informatica's customer service is generally rated positively for quick, knowledgeable support, though some report occasional delays and inconsistencies.

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

For more quotes and insights, download the AWS Glue report

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

Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.

Consulting Principal & Founder at Digital Data Consultancy

Even after going out of service support, they still reached back to me whenever I raised tickets.

IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees

We expect more responsive assistance because they have the expertise since Informatica is their tool, but I don't see enough expertise on the Informatica support side.

For more quotes and insights, download the Informatica Intelligent Data Management Cloud (IDMC) report

Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte

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

7.3

Informatica Intelligent Data Management Cloud is praised for scalability and flexibility in handling large datasets, despite pricing concerns.

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

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.

For more quotes and insights, download the AWS Glue report

Python AWS & AI Expert at a tech consulting company

I have used the product over multiple systems and was able to write reports for large data sets without any performance issues.

IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees

As a SaaS platform, IDMC is quite scalable and provides complete flexibility.

Consulting Principal & Founder at Digital Data Consultancy

There are many options available, and the licensing model is quite good, supporting our needs effectively.

For more quotes and insights, download the Informatica Intelligent Data Management Cloud (IDMC) report

Data Integration Architect at Endeavour Foundation

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

7.7

Users generally find IDMC stable, with occasional challenges after updates, especially in older versions or specific integrations.

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

For more quotes and insights, download the AWS Glue report

Python AWS & AI Expert at a tech consulting company

Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.

Consulting Principal & Founder at Digital Data Consultancy

There are substantial stability issues with Informatica Cloud Data Quality on the cloud.

reviewer946383

consultant at a energy/utilities company with 5,001-10,000 employees

I find the stability to be good, with occasional restarts required every two to three months due to glitches.

For more quotes and insights, download the Informatica Intelligent Data Management Cloud (IDMC) report

IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees

Room For Improvement

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

Informatica IDMC needs UI improvements, better connectivity, streamlined configuration, cheaper pricing, and enhanced support with AI integration.

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

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.

For more quotes and insights, download the AWS Glue report

Python AWS & AI Expert at a tech consulting company

The tool needs to mature in terms of category-specific attributes or dynamic attributes.

Consulting Principal & Founder at Digital Data Consultancy

The current solution requires code-writing and tweaking, while other solutions offer material-level matches.

IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees

If the development interface could be optimized to have fewer modules, it would be greatly beneficial.

For more quotes and insights, download the Informatica Intelligent Data Management Cloud (IDMC) report

Data Integration Architect at Endeavour Foundation

Setup Cost

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

Informatica IDMC provides a robust but expensive pricing model with complex licensing and potential negotiation discounts for enterprises.

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

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.

For more quotes and insights, download the AWS Glue report

Python AWS & AI Expert at a tech consulting company

It ranges from a quarter million to a couple of million a year.

Consulting Principal & Founder at Digital Data Consultancy

Informatica Intelligent Cloud Services is affordable for my specific use cases, with the pricing being rated three or four on a scale where one is very cheap.

Data Integration Architect at Endeavour Foundation

Regarding pricing, compared to other tools I have worked with, Informatica offers competitive pricing, which I find not high in terms of starting strategy.

For more quotes and insights, download the Informatica Intelligent Data Management Cloud (IDMC) report

Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte

Valuable Features

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

Informatica IDMC offers seamless data integration, AI-enhanced features, and efficient governance, enhancing user experience and operational efficiency.

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.

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.

For more quotes and insights, download the AWS Glue report

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

The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.

Consulting Principal & Founder at Digital Data Consultancy

The connectors serve as the main functionality, making data integration processes more efficient by saving time and effort.

For more quotes and insights, download the Informatica Intelligent Data Management Cloud (IDMC) report

Data Integration Architect at Endeavour Foundation

We could run data quality rules as part of Service Bus, which ensured the integrity of customer information before it was entered into our database.

reviewer2696502

Data and Analytics Manager at a insurance company with 10,001+ employees

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

Informatica Intelligent Dat...

Ranking in Cloud Data Integration

2nd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

214

Ranking in other categories

Data Integration (1st), Data Quality (1st), Business Process Management (BPM) (8th), Business-to-Business Middleware (2nd), API Management (5th), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (4th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (1st), AI Data Analysis (1st)

Mindshare comparison

As of May 2026, in the Cloud Data Integration category, the mindshare of AWS Glue is 7.6%, down from 19.4% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 6.8%, down from 6.9% 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%
Informatica Intelligent Data Management Cloud (IDMC)	6.8%
Other	85.6%

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.

Read full review

Handles large data volumes effectively and offers competitive pricing

Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte

There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

Read full review

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Answers from the Community

it_user1648611

Platform Administrator at Nissan USA

Apr 18, 2022

Which is the best choice for cloud integration: AWS Glue or Informatica Intelligent Cloud Services (IICS)?

They both have many features that you will need. AWS Glue will be easier to maintain and integrate because it is a platform on AWS. Informatica is cloud-agnostic. For a large company, you are better off keeping your options open to move to another cloud.

2 out of 3 answers

Akash Shanker

Team Lead at a financial services firm with 5,001-10,000 employees

Aug 16, 2021

@Sandeep Suram, can you please elaborate your use case? What exactly are your requirements?

Read full answer

Joel Buck

Director of Enterprise Architecture at a pharma/biotech company with 10,001+ employees

Aug 16, 2021

Read full answer

See all 3 answers

Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

Manufacturing Company

Comms Service Provider

Financial Services Firm

14%

Manufacturing Company

10%

Retailer

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	6
Large Enterprise	32

By reviewers
Company Size	Count
Small Business	51
Midsize Enterprise	27
Large Enterprise	153

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.

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...

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...

How does Azure Data Factory compare with Informatica Cloud Data Integration?

Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...

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...

What are the biggest benefits of using Informatica Cloud Data Integration?

When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...

AWS Database Migration Service vs AWS Glue

Comparisons

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Compared 5% of the time

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Compared 4% of the time

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Compared 3% of the time

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Compared 3% of the time

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Compared 2% of the time

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Compared 2% of the time

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Product Reports

Download AWS Glue product report

AWS Glue

May 2026

Informatica Intelligent Data Management Cloud (IDMC)

April 2026

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Also Known As

No data available

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking

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 Intelligent Data Management Cloud (IDMC) offers seamless integration of master data management, data quality, and data integration with a cloud-native architecture supporting multiple data management styles, optimizing data governance through metadata management.

IDMC enhances data synchronization and mapping tasks, utilizing a broad range of connectors to interact efficiently with data sources. Its precise address validation via AddressDoctor and intuitive navigation bolster user empowerment, delivering agility, scalability, and security in data governance. Despite its strengths, areas like ease of use, SAP integration, and reporting could benefit from enhancements. Connectivity issues and workflow complexities are noted, needing improvements in performance, support, and licensing cost. Users demand expanded ETL capabilities, real-time processing, and broader data source support to address growing data needs.

What are the key features of IDMC?

Integration Capabilities: Ensures seamless connectivity between on-premise and cloud environments.
Master Data Management: Centralizes and streamlines data processes for enhanced quality.
Data Quality: Employs tools for cleansing and standardizing data accuracy.
Address Validation: Features AddressDoctor for precise address verification.
Real-Time Processing: Supports real-time data handling for critical operations.
Connectivity Options: Offers a wide array of connectors for easy data source interaction.

What benefits and ROI should users consider?

Scalability: Cloud-native design boosts system agility, adapting to data volume changes.
Security: Enhances data protection with robust encryption and compliance measures.
Efficiency: Automates processes to reduce manual effort and errors.
Flexibility: Supports diverse data management styles, offering adaptability to business changes.
Governance: Empowers effective data governance through comprehensive metadata management.

In industries such as banking, healthcare, and telecom, IDMC is implemented for data integration, cloud migration, and enhancing data quality. Its capabilities are crucial for metadata management, lineage tracking, and real-time processing, ensuring high data quality and streamlined operations.

Informatica

Sample Customers

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

The Travel Company, Carbonite