Coming October 25: PeerSpot Awards will be announced! Learn more

AWS Glue vs IBM InfoSphere Information Server comparison

Cancel
You must select at least 2 products to compare!
Comparison Buyer's Guide
Executive Summary

We performed a comparison between AWS Glue and IBM InfoSphere Information Server based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed AWS Glue vs. IBM InfoSphere Information Server report (Updated: September 2022).
633,184 professionals have used our research since 2012.
Featured 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 AWS-integrated. There is end-to-end integration with the other AWS services. It is also user-friendly.""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.""Its user interface is quite good. You just need to choose some options to create a job in AWS Glue. The code-generation feature is also useful. If you don't want to customize it and simply want to read a file and store the data in the database, it can generate the code for you.""I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations.""The solution is stable and reliable.""The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features.""AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software.""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."

More AWS Glue Pros →

"IBM InfoSphere Information Server is stable."

More IBM InfoSphere Information Server Pros →

Cons
"Currently, it supports only two languages in the background: Python and Scala. From our customization point of view, it would be helpful if it can also support Java in the background.""The monitoring is not that good.""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.""There should be more connectors for different databases.""The technical support for this solution could be improved. In future, we would like to connect more services like Athena or Kinesis to help control more loads of data.""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.""There is a learning curve to this tool.""If there's a cluster-related configuration, we have to make worker notes, which is quite a headache when processing a large amount of data."

More AWS Glue Cons →

"IBM InfoSphere Information Server should be more scalable. It should have the option to change the configuration to run on a single, non-multiple node, or multi-threading processing."

More IBM InfoSphere Information Server Cons →

Pricing and Cost Advice
  • "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."
  • More AWS Glue Pricing and Cost Advice →

  • "The licensing cost of IBM InfoSphere Information Server depends on how many users there are."
  • More IBM InfoSphere Information Server Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
    633,184 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    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 »
    Top Answer:The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features.
    Top Answer:IBM InfoSphere Information Server has multiple tools in that product suite. However, we mainly use it as an integration tool.
    Ranking
    2nd
    Views
    19,150
    Comparisons
    15,466
    Reviews
    10
    Average Words per Review
    472
    Rating
    8.1
    39th
    Views
    2,875
    Comparisons
    2,432
    Reviews
    1
    Average Words per Review
    330
    Rating
    7.0
    Comparisons
    Also Known As
    InfoSphere Information Server, IBM Information Server
    Learn More
    Overview

    AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. You can create and run an ETL job with a few clicks in the AWS Management Console. You simply point AWS Glue to your data stored on AWS, and AWS Glue discovers your data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, your data is immediately searchable, queryable, and available for ETL.

    IBM InfoSphere Information Server is a market-leading data integration platform which includes a family of products that enable you to understand, cleanse, monitor, transform, and deliver data, as well as to collaborate to bridge the gap between business and IT. InfoSphere Information Server provides massively parallel processing (MPP) capabilities to deliver a highly scalable and flexible integration platform that handles a variety of data volumes (big, small, and everything in between).
    Offer
    Learn more about AWS Glue
    Learn more about IBM InfoSphere Information Server
    Sample Customers
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Canadian National Railway Company, Chickasaw Nation Division of Commerce, Swedish Armed Forces, BG RCI, Janata Sahakari Bank Ltd., University of Arizona, Biogrid Australia
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm13%
    Insurance Company8%
    Media Company8%
    VISITORS READING REVIEWS
    Computer Software Company21%
    Financial Services Firm15%
    Comms Service Provider9%
    Insurance Company9%
    Company Size
    REVIEWERS
    Small Business17%
    Midsize Enterprise25%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise11%
    Large Enterprise75%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise73%
    Buyer's Guide
    Cloud Data Integration
    September 2022
    Find out what your peers are saying about MuleSoft, Amazon, Informatica and others in Cloud Data Integration. Updated: September 2022.
    633,184 professionals have used our research since 2012.

    AWS Glue is ranked 2nd in Cloud Data Integration with 10 reviews while IBM InfoSphere Information Server is ranked 39th in Data Integration Tools with 1 review. AWS Glue is rated 8.2, while IBM InfoSphere Information Server is rated 7.0. The top reviewer of AWS Glue writes "Easy to perform ETL on multiple data sources, and easy to use after you learn it". On the other hand, the top reviewer of IBM InfoSphere Information Server writes "Prompt support, reliable, but lacking scalability". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, Talend Open Studio, Informatica Cloud Data Integration and SSIS, whereas IBM InfoSphere Information Server is most compared with IBM InfoSphere DataStage, Oracle GoldenGate, Qlik Replicate and IBM Watson Knowledge Catalog.

    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.