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    IBM DataStage as a Service

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    Deployed on AWS
    IBM DataStage is a modern, cloud native, and secure data integration solution that enables you to transform, deliver, and enrich data at any scale and complexity. Deploy our best-in-breed parallel engine anywhere to power your batch ETL/ELT tasks on AWS.

    Overview

    IBM DataStage is a modern data integration solution to collect and deliver trusted data anywhere, at any scale and complexity, on and across multi cloud and hybrid cloud environments. Our solution allows you to save on data movement cost by enabling you the ability to deploy our best-in-breed parallel engine where your data is. With native connections to AWS hosted data stores, data lakes, and databases like Snowflake, S3, RedShift, and more, DataStage offers a seamless integration journey for your data wherever it resides across your enterprise.

    IBM DataStage is built for convenient management of data offering automatic partitioning, elastic computation, and built-in quality functions. It services structured, semi-structured, and unstructured data and modern file and table formats like delta lake, iceberg, parquet, and more to future proof your investments. The result? A future-proofed platform that services all your batch integration needs.

    Here are a few major highlights of our service:

    • Jump between serverless compute on AWS or deploy containerized remote compute planes anywhere
    • Toggle between ETL and ELT without pipeline configuration changes
    • Leverage no-code, low-code, and high-code paradigms based on your preference
    • Build quality pipelines for longevity with our native DevOps feature

    Highlights

    • Best-in-breed parallel engine and automated load balancing to process data at scale and maximize throughput for your AWS data lake and data warehouse projects.
    • Extensive prebuilt connectors to move data between AWS, data warehouse, and on-premise endpoints. Increase developer productivity with hundreds of out-of-the-box, ready-to-use functions, and design and development capabilities.
    • Design your data integration jobs once and deploy runtime components in your AWS environment to save development costs while eliminating data latency. Deliver data quickly and in a secure tool.

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    IBM DataStage as a Service

     Info
    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Premium
    IBM DataStage per 1 RU. Select the number of RUs to provision for your instance.
    $8,700.00

    Additional usage costs (1)

     Info

    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Description
    Cost/unit
    IBM DataStage Overage
    Additional overages applied as purchased resource units are consumed.
    $834.00

    Vendor refund policy

    Please contact your client account team for refund information

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    Legal

    Vendor terms and conditions

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    Sign in to open a new case or review existing cases: https://www.ibm.com/mysupport/s/?language=en_US . Support instructions can be found here:

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Ratings and reviews

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    68 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    Max R.

    Data Integration and Quality with DataStage

    Reviewed on Jun 18, 2025
    Review provided by G2
    What do you like best about the product?
    Best data integration tool on the market with a wide range of connectors and advanced data integration and quality features.
    What do you dislike about the product?
    I quite like the platform as a whole, but I believe it can improve regarding data lineage (it should indeed improve now with the arrival of Manta to the IBM portfolio).
    What problems is the product solving and how is that benefiting you?
    Help our clients work with integrated, qualified, and reliable data.
    Banking

    IBM Datastage for ETL

    Reviewed on Mar 08, 2024
    Review provided by G2
    What do you like best about the product?
    IBM InfoSphere DataStage is simple yet efficient tool for ETL processing.
    It has the variety of stages to implement your designs and test the same at runtime.
    It has got additional features compared to other ETL tools, which helps in debugging and error handling.
    What do you dislike about the product?
    Datastage is UI is little at the backseat compared to other ETL tools.
    Stages could be categorised based on functionalities.
    What problems is the product solving and how is that benefiting you?
    It is solving the data integration problems from variety of platforms and provide approciate data formats at the end user.
    Like, JSON, Files, txts, DB , amd Bigdata etc
    Information Technology and Services

    Good product

    Reviewed on Jan 31, 2024
    Review provided by G2
    What do you like best about the product?
    Its speed. It is very fast and responsive. Support is good.
    What do you dislike about the product?
    a little hard to use and implement. hs few bugs
    What problems is the product solving and how is that benefiting you?
    fast data integration and processing
    Computer Software

    Analyzing vendor data

    Reviewed on Jan 25, 2024
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    What do you like best about the product?
    There are two reasons for us to use it, less cost, and because it's user friendly.
    What do you dislike about the product?
    Customer support is excellent, furthermore there can be some improvement on the number of features.

    We did not face any problems during its implementation and its integration.

    Frequency of use is not high as we are not just relying on it, but we might in future.
    What problems is the product solving and how is that benefiting you?
    I cannot disclose it because of the company's policy, but in brief we are using it to analyse multiple vendor data.
    Financial Services

    Data Stage review

    Reviewed on Dec 06, 2023
    Review provided by G2
    What do you like best about the product?
    - excellent performance in executing ETL processes for large amounts of data.
    What do you dislike about the product?
    - Lack of documentation and available knowledge for study and learning.
    - Lack of support from the supplier (various problems with the product and also lack of support for functionalities like the quality stage).
    - Interface is not at all intuitive and difficult to use.
    What problems is the product solving and how is that benefiting you?
    execution of ETL processes and data quality.
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