AWS Glue vs BMC Data Management for IMS and DB2 on zOS comparison

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Executive Summary

We performed a comparison between AWS Glue and BMC Data Management for IMS and DB2 on zOS 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: March 2024).
768,578 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
"AWS Glue is quite better than other tools, but you have to learn it properly before you start using it.""The solution is serverless so it allows us to transform data while optimizing the cost and performance of Spark jobs.""AWS Glue's best features are scalability and cloud-based features.""We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure.""The solution is stable and reliable.""I like the fact that AWS Glue works with Python scripts.""The most valuable feature of AWS Glue is scalability.""It's fairly straightforward as a product; it's not very complicated."

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"BMC Data Management improved our data recovery process by simplifying it.""I have worked with DB2's great features in the last five years. The IDAA feature transformed the vision of warehousing, business analytics, and big data at my bank. Besides the mainframe, I saw that this solution was evolutionary. It gives real-time information."

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Cons
"The solution should offer features for streaming data in addition to batching data.""The start-up time is really high right now. For instance, when you start up a new job, you have to wait for five or eight minutes before it starts. If the start-up time is reduced to one or two minutes, it will be great. It will be better to have a direct linkage to Redshift in AWS. If we can use data catalogs from Redshift, it will be so easy to create some data catalogs. Currently, we can only use data catalogs from S3.""On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded.""Only people who can code, either in Java or Python, can use the product freely. Those who don't know Java or Python might find using AWS Glue difficult.""The product is expensive for data streaming. This area needs improvement.""The solution’s stability could be improved.""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.""The interface for AWS Glue could improve, they do not put a lot of details. You can write the code, in PySpark or in Scala, which is a big advantage, it is only easy to use for a developer. It will be difficult for new users to enter the cloud environment."

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"One area for improvement with this product could be in providing clearer guidance and tools for disaster recovery planning and execution.""DB2 is a hard tool to grasp. It's hard for users to learn how to use it. It's not easy to see how it works."

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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 →

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    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: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 »
    Top Answer:BMC Data Management improved our data recovery process by simplifying it.
    Top Answer:One area for improvement with this product could be in providing clearer guidance and tools for disaster recovery planning and execution. As someone involved in managing infrastructure, understanding… more »
    Top Answer:From my perspective as an infrastructure guy, the most valuable aspect of BMC's data management solutions was their ability to optimize CPU cycles, improving IMS performance without directly impacting… more »
    Ranking
    1st
    Views
    12,012
    Comparisons
    8,420
    Reviews
    32
    Average Words per Review
    419
    Rating
    7.8
    Views
    168
    Comparisons
    155
    Reviews
    1
    Average Words per Review
    433
    Rating
    8.0
    Comparisons
    Also Known As
    BMC Data Management for IMS and DB2 on z/OS, Data Management for IMS and DB2 on z/OS
    Learn More
    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.

    Transform the management of your DB2 databases to meet the scale and complexity of digital business

    • Run DB2 utilities with BMC Next Generation Technology to optimize your data and improve application performance
    • Eliminate downtime and increase availability of business services
    • Ensure the integrity of structured and unstructured data
    • Take control with intelligent automation and policy-driven rules
    • Bridge the gap from green-screen to modern, secure, self-service user interfaces
    • Move to DB2 12 and beyond with confidence
    Sample Customers
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Airline Tariff Publishing Co (ATPCO), AtTask, MetaScale
    Top Industries
    REVIEWERS
    Computer Software Company47%
    Financial Services Firm18%
    Pharma/Biotech Company12%
    Consumer Goods Company6%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company14%
    Manufacturing Company7%
    Insurance Company7%
    VISITORS READING REVIEWS
    Financial Services Firm27%
    Insurance Company13%
    Government11%
    Manufacturing Company6%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise13%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise5%
    Large Enterprise76%
    Buyer's Guide
    Cloud Data Integration
    March 2024
    Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: March 2024.
    768,578 professionals have used our research since 2012.

    AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while BMC Data Management for IMS and DB2 on zOS is ranked 21st in Database Development and Management with 2 reviews. AWS Glue is rated 7.8, while BMC Data Management for IMS and DB2 on zOS is rated 8.6. 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 BMC Data Management for IMS and DB2 on zOS writes "Improves disaster recovery processes and offers an efficient CPU cycle optimization ". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas BMC Data Management for IMS and DB2 on zOS is most compared with AWS Database Migration Service, Qlik Replicate, IBM App Connect and Dataloader.io.

    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.