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

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

Download the complete report

Helped 801,394 peers since 2012

Categories and Ranking

AWS Glue

Ranking in Cloud Data Integration

1st

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Informatica Intelligent Dat...

Ranking in Cloud Data Integration

3rd

Average Rating

7.8

Number of Reviews

180

Ranking in other categories

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

Featured Reviews

Sunil Morya

Consultant at Tata Consultancy

Dec 9, 2022

Easy to set up, useful for batch processing, and is free to try

The Glue Crawler can have a set of connectors, so you can utilize those connectors to connect with the external databases, which may be on-premise in different networks or maybe locally on AWS. Basically, you can use the connector to fetch the data. Once you have a data schema, you can start streaming or fetching the data in the particular format conversion. For example, suppose you have the text file, and you have Word in place or maybe in SQL, and you can use the connector on the fly to convert the database. For batch processing, batch genetics, it is helpful for the ETL process. The setup is easy. The solution offers a free trial. The solution can scale. It's stable. Users only pay for what they use once they have a license.

Read full review

Andre Collin

Consultant at Viatic

Oct 31, 2023

A tool with the ability to aggregate and put together data from multiple sources into a single place

I use Informatica MDM to align data in my company The ability to aggregate and put together data from around fifty sources into one environment allows us to have a preview of everything in a single place, which is something we did not have previously in our company. The most valuable feature I…

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 most valuable features currently are glue studio, jobs, and triggers."

"AWS Glue's best features are scalability and cloud-based features."

"AWS Glue's most valuable features are the data catalog, including crawlers and tables, and Glue Studio, which means you don't have to use custom code."

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

"The most valuable feature of AWS Glue is its ease of use and good documentation. Additionally, we can do all the transformations that we need."

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

"The most valuable feature of AWS Glue is scalability."

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

More AWS Glue pros

"The Provisioning tool is something that is really handy for everyone. It is my pick as the best feature."

"The tool does give a good ROI."

"It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities."

"Performance and flexibility-wise, they're very user-friendly."

"The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application."

"Informatica Business Process Manager is easy to use and learn."

"The support is very good."

"New tools are coming out that will enable you to achieve 90 percent of use cases with the out-of-the-box configuration, but I would like to keep Informatica tight here. Otherwise, you need a Java user edit course and other things to do multiple things that you cannot configure out of the box. They have to go through those use cases to do something if those can also be configured rather than coded."

More Informatica Intelligent Data Management Cloud (IDMC) pros

Cons

"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."

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

"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."

"The crucial problem with AWS Glue is that it only works with AWS. It is not an agnostic tool like Pentaho. In PowerCenter, we can install the forms from Google and other vendors, but in the case of AWS Glue, we can only use AWS."

"I haven't looked into Glue in terms of seeking out flaws. I've not come across missing features."

"I would like to see a more robust interface on the no-code side. This would be nice to be able to split cells."

"It fails to handle massive databases acquired from various sources."

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

More AWS Glue cons

"The solution doesn't directly connect to any of the analytical tools."

"The product isn't mature enough to provide suitable connectors to various data engines."

"Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data."

"It needs to be a little more intuitive but it’s really not bad."

"Certain applications are not being synced with the ION."

"The cost of Informatica MDM is expensive and has room for improvement."

"The ability of the product to leverage the power of big data could be improved."

"Informatica's support understands the solution, but they lack the experience we need for our use case. That was one thing that we prioritized when we started searching for this kind of solution."

More Informatica Intelligent Data Management Cloud (IDMC) cons

Pricing and Cost Advice

"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 is a paid service that doesn't come under the free trial of AWS."

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

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

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

"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."

"I rate the product's pricing a five on a scale of one to ten, where one is a high price, and ten is a low price."

More AWS Glue pricing and cost advice

"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."

"The product is very expensive"

"The price is neither too high nor too low."

"It is an expensive solution. I would say it is the most expensive solution in the market."

"Informatica Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing."

"It's an expensive solution."

"The pricing is high compared to other tools on the market."

"The licensing price of the product depends on the organization's requirements."

More Informatica Intelligent Data Management Cloud (IDMC) pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.

See recommendations

801,394 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

14%

Manufacturing Company

Insurance Company

Financial Services Firm

17%

Computer Software Company

13%

Manufacturing Company

10%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

Compared 32% of the time

Informatica PowerCenter vs AWS Glue

Compared 8% of the time

SSIS vs AWS Glue

Compared 5% of the time

Talend Open Studio vs AWS Glue

Compared 5% of the time

Oracle Integration Cloud Service vs AWS Glue

Compared 4% of the time

More AWS Glue Competitors

Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 11% of the time

Azure Data Factory vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 8% of the time

Reltio Cloud vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 5% of the time

Alation Data Catalog vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

Microsoft Purview Data Governance vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 3% of the time

More Informatica Intelligent Data Management Cloud (IDMC) Competitors

Product Reports

AWS Glue

Download AWS Glue product report

Informatica Intelligent Data Management Cloud (IDMC)

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Informatica Intelligent Data Management Cloud (IDMC) report

Also Known As

No data available

ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration

Learn More

Amazon Web Services (AWS)

Informatica

Overview

AWS Glue is a serverless cloud data integration tool that facilitates the discovery, preparation, movement, and integration of data from multiple sources for machine learning (ML), analytics, and application development. The solution includes additional productivity and data ops tooling for running jobs, implementing business workflows, and authoring.

AWS Glue allows users to connect to more than 70 diverse data sources and manage data in a centralized data catalog. The solution facilitates visual creation, running, and monitoring of extract, transform, and load (ETL) pipelines to load data into users' data lakes. This Amazon product seamlessly integrates with other native applications of the brand and allows users to search and query cataloged data using Amazon EMR, Amazon Athena, and Amazon Redshift Spectrum.

The solution also utilizes application programming interface (API) operations to transform users' data, create runtime logs, store job logic, and create notifications for monitoring job runs. The console of AWS Glue connects all of these services into a managed application, facilitating the monitoring and operational processes. The solution also performs provisioning and management of the resources required to run users' workloads in order to minimize manual work time for organizations.

AWS Glue Features

AWS Glue groups its features into four categories - discover, prepare, integrate, and transform. Within those groups are the following features:

Automatic schema discovery: AWS Glue crawlers connect to the organization's source or target data source through a prioritized list of classifiers to determine the schema for users' data. This feature creates metadata in companies' AWS Glue Data Catalog.
Schemas for data stream management: The AWS Glue Schema Registry enables users to validate and control the evolution of streaming data through registered Apache Avro schemas for no additional charge.
Automatic scaling based on workload: This feature dynamically scales resources up and down based on workload. The feature controls job resources, removing them depending on how much the workload can be split up.
FindMatches: This feature is for machine learning-based data deduplication and cleansing, and works by finding records that are imperfect matches of each other to remove useless data copies.
Edit, debug, and test ETL code: This feature helps users who have chosen to interactively develop their ETL code by providing development endpoints for editing, debugging, and testing the code it generates for them.
AWS Glue DataBrew: An interactive, point-and-click visual interface for specialists to clean and normalize data without the need to write any code.
AWS Glue Interactive Sessions: This feature simplifies the development of data integration jobs by enabling data engineers to interactively prepare and explore data.
AWS Glue Studio Job Notebooks: This AWS Glue feature provides serverless notebooks with minimal setup, allowing developers to start working in a timely manner.
Complex ETL pipeline building: This feature allows the product to be invoked on a schedule, on demand, or based on an event, allowing users to start multiple jobs in parallel or specify dependencies to build complex ETL pipelines.
AWS Glue Studio: This AWS Glue feature allows users to visually transform data through a drag-and-drop interface. The product automatically generates the code for ETL processes for users' data.

AWS Glue Benefits

AWS Glue offers a wide range of benefits for its users. These benefits include:

Users of other AWS products can easily onboard with AWS Glue, as it is integrated across a wide range of the company's services.
The solution is serverless, which allows for a lower total cost of ownership.
AWS Glue offers more power for users, as it automates much of the effort in building, maintaining, and running ETL jobs.
The product allows customers to easily discover and search across all their AWS datasets through AWS Glue Data Catalog.
AWS Glue does not require additional payment for managing and enforcing schemas for data streams.
The solution facilitates the authority of scalable ETL jobs for beginners and non-coding experts through a drag-and-drop interface.

Reviews from Real Users

Mustapha A., a cloud data engineer at Jems Groupe, likes AWS Glue because it is a product that is great for serverless data transformations.

Liana I., CEO at Quark Technologies SRL, describes AWS Glue as a highly scalable, reliable, and beneficial pay-as-you-go pricing model.

Informatica Intelligent Data Management Cloud (IDMC) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.

IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.

What are the most important features?

Data discovery: Facilitates identifying and understanding data sources.
Data profiling: Analyzes old databases for data quality.
Data and platform masking: Ensures data protection.
Salesforce integration: Seamless connectivity with Salesforce.
Mastering data: Centralizing and standardizing data.
UI intuitiveness: User-friendly interface.
Feature map flexibility: Adapts to user needs.
Business glossary creation: Defines business terms.
Data lineage: Tracks data flow and transformations.
Automation: Streamlines data processes.
Enterprise data cataloging: Organizes extensive data assets.
Scalability: Supports expanding data requirements.
Easy setup: Quick deployment process.
Bulk upload: Efficiently handles large data volumes.
Customizable data management: Tailors data solutions.
Real-time data streaming: Manages live data streams.
Integration with Hadoop and NoSQL: Connects with big data platforms.

What benefits and ROI should be considered?

Regulatory compliance: Ensures adherence to regulations.
Data protection: Safeguards sensitive information.
Enhanced data quality: Improves accuracy and reliability.
Centralized data: Consolidates data for better management.
Process automation: Reduces manual tasks and errors.

Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.

Sample Customers

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

The Travel Company, Carbonite

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