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AWS Glue vs Informatica Data Integration Hub comparison

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Amazon Web Services (AWS) Logo
AWS Glue
Read 37 AWS Glue reviews
11,729 views|8,292 comparisons
92% willing to recommend
Informatica Logo
Informatica Data Integration Hub
Read 3 Informatica Data Integration Hub reviews
913 views|855 comparisons
100% willing to recommend
Comparison Buyer's Guide
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Buyer's Guide
Cloud Data Integration
April 2024
Executive Summary

We performed a comparison between AWS Glue and Informatica Data Integration Hub based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration.
To learn more, read our detailed Cloud Data Integration Report (Updated: April 2024).
Download the complete report
769,662 professionals have used our research since 2012.
Featured Review
Joaquin Marques
Straightforward, easy to set up, and needs little to no training
The solution has helped the organization mostly with migration. When we migrate from mostly on-premises to the cloud, Glue replaces a more... Read more →
Anonymous User
Provides efficient business insights and valuable data management architecture
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"I like the fact that AWS Glue works with Python scripts.""I like its integration and ability to handle all data-related tasks.""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.""Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs.""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.""Transformations are valuable because you can modify or override complex data logic from an open source or Spark to solve issues.""The solution helps organizations gain flexibility in defining the structure of the data.""The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."

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"The technical support services are good.""The MDM solution is capable of integrating multiple systems, so it helped us to solve the purpose of centralizing the depository as well as the standardization of mass data. It takes away all the ambiguity around data integrity issues or all the process challenges which happen when every stage of a process uses a different source as master data.""Performance and flexibility-wise, they're very user-friendly."

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Cons
"AWS Glue is more costly compared to other tools like Airflow.""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.""The product has only a few built-in transformations.""The price of the solution could improve.""One area that could be improved is the ETL view. The drag-and-drop interface is not as user-friendly as some other ETL tools.""Overall, I consider the technical support to be fine, although the response time could be faster in certain cases.""I haven't looked into Glue in terms of seeking out flaws. I've not come across missing features.""The solution’s stability could be improved."

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"When it comes to UI look and feel and user experience, Informatica is not as good as other solutions.""The initial setup was not very straightforward. Not complex, but not very simple either.""They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently."

More Informatica Data Integration Hub Cons →

Pricing and Cost Advice
  • "The pricing is a bit higher than other solutions like Athena and EC2. If the pricing becomes more scaled or flexible, it will be good because you have to pay 44 cents just for one DPU for an hour. If you increase DPUs to 5 or 10, the pricing gets multiplied. There are also some time limits like 0 to 10 minutes or 10 to 20 minutes. If the pricing is according to the minutes, it would be better because you have to limit your job to 10 minutes or 20 minutes."
  • "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."
  • "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."
  • "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."
  • "This solution is affordable and there is an option to pay for the solution based on your usage."
  • "AWS Glue is quite costly, especially for small organizations."
  • "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."
  • "The overall cost of AWS Glue could be better. It cost approximately $1,000 a month. There is paid support available from AWS Glue."

    • More AWS Glue Pricing and Cost Advice →

  • "Comparatively, their prices are a little bit too high."

    • More Informatica Data Integration Hub Pricing and Cost Advice →

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    Questions from the Community
    How do you select the right cloud ETL tool?
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Read all 2 answers   →
    How does Talend Open Studio compare with AWS Glue?
    Top Answer: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… more »
    What are the most common use cases for AWS Glue?
    Top Answer: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… more »
    Read all 2 answers   →
    What do you like most about Informatica Data Integration Hub?
    Top Answer:The technical support services are good.
    Read all 3 answers   →
    What needs improvement with Informatica Data Integration Hub?
    Top Answer:They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently.
    Read all 3 answers   →
    What advice do you have for others considering Informatica Data Integrati...
    Top Answer:Working with a healthcare client with diverse locations, we faced the challenge of analyzing data in isolation, making it difficult to generalize findings across different areas. With the help of… more »
    Read all 3 answers   →
    Ranking
    1st
    out of 44 in Cloud Data Integration
    Views
    11,729
    Comparisons
    8,292
    Reviews
    32
    Average Words per Review
    419
    Rating
    7.8
    37th
    out of 101 in Data Integration
    Views
    913
    Comparisons
    855
    Reviews
    1
    Average Words per Review
    469
    Rating
    8.0
    Comparisons
    Also Known As
    Informatica Integration Hub, Integration Hub
    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 Data Integration Hub empowers large organizations to embrace change and the opportunities of new applications and analytics systems, while managing storage in Hadoop as well as relational database and file store options. The centralized modern hubbased architecture is the foundation for agile and managed enterprise data integration. As the first to apply a publish/subscribe model to data integration linking big data, cloud, and traditional systems, Informatica delivers productivity and intelligent automation without compromising control.

    Sample Customers
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Humana, Rabobank, State of Washington
    Top Industries
    REVIEWERS
    Computer Software Company47%
    Financial Services Firm18%
    Pharma/Biotech Company12%
    Consumer Goods Company6%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company14%
    Manufacturing Company7%
    Insurance Company7%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company10%
    Manufacturing Company10%
    Government9%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise13%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    Buyer's Guide
    Cloud Data Integration
    April 2024
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    Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: April 2024.
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    AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Informatica Data Integration Hub is ranked 37th in Data Integration with 3 reviews. AWS Glue is rated 7.8, while Informatica Data Integration Hub is rated 8.0. The top reviewer of AWS Glue writes "Provides serverless mechanism, easy data transformation and automated infrastructure management". On the other hand, the top reviewer of Informatica Data Integration Hub writes "Excellent at standardizing mass data and capable of integrating with multiple solutions ". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas Informatica Data Integration Hub is most compared with Informatica PowerCenter, AWS Database Migration Service, Azure Data Factory, SAP Data Hub and Mule Anypoint Platform.

    See our list of best Cloud Data Integration vendors.

    We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.