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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM DataStage

    Score8 out of 10
    N/AIBM® DataStage® is a data integration tool that helps users to design, develop and run jobs that move and transform data. At its core, the DataStage tool supports extract, transform and load (ETL) and extract, load and transform (ELT) patterns. A basic version of the software is available for on-premises deployment, and the cloud-based DataStage for IBM Cloud Pak® for Data offers automated integration capabilities in a hybrid or multicloud environment.N/A

    SAS Enterprise Guide

    Score9.4 out of 10
    N/ASAS Enterprise Guide is a menu-driven, Windows GUI tool for SAS.N/A
    Pricing
    IBM DataStageSAS Enterprise Guide
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM DataStageSAS Enterprise Guide
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM DataStageSAS Enterprise Guide
    Considered Both Products
    IBM
    No answer on this topic
    SAS
    No answer on this topic
    Key User Insights
    Would buy again
    89%
    Would buy again
    8 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    5 Answers
    No answers on this topic
    Happy with the feature set
    89%
    Happy with the feature set
    8 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    7 Answers
    No answers on this topic
    Implementation went as expected
    88%
    Implementation went as expected
    7 Answers
    No answers on this topic
    Features
    IBM DataStageSAS Enterprise Guide
    Data Source Connection
    Comparison of Data Source Connection features of IBM DataStage and SAS Enterprise Guide
    Feature
    IBM DataStage
    7.7
    11 Ratings
    8% below category average
    SAS Enterprise Guide
    -
    Ratings
    Connect to traditional data sources7.911 Ratings00 Ratings
    Connecto to Big Data and NoSQL7.610 Ratings00 Ratings
    Data Transformations
    Comparison of Data Transformations features of IBM DataStage and SAS Enterprise Guide
    Feature
    IBM DataStage
    7.6
    11 Ratings
    7% below category average
    SAS Enterprise Guide
    -
    Ratings
    Simple transformations8.011 Ratings00 Ratings
    Complex transformations7.311 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of IBM DataStage and SAS Enterprise Guide
    Feature
    IBM DataStage
    7.2
    11 Ratings
    10% below category average
    SAS Enterprise Guide
    -
    Ratings
    Data model creation7.18 Ratings00 Ratings
    Metadata management5.010 Ratings00 Ratings
    Business rules and workflow7.410 Ratings00 Ratings
    Collaboration7.411 Ratings00 Ratings
    Testing and debugging6.711 Ratings00 Ratings
    Data Governance
    Comparison of Data Governance features of IBM DataStage and SAS Enterprise Guide
    Feature
    IBM DataStage
    5.3
    10 Ratings
    42% below category average
    SAS Enterprise Guide
    -
    Ratings
    Integration with data quality tools5.310 Ratings00 Ratings
    Integration with MDM tools5.310 Ratings00 Ratings
    Best Alternatives
    IBM DataStageSAS Enterprise Guide
    Small Businesses
    Skyvia
    Score10 out of 10
    No answers on this topic
    Medium-sized Companies
    IBM InfoSphere Information Server
    Score10 out of 10
    No answers on this topic
    Enterprises
    SolarWinds Task Factory
    Score8.3 out of 10
    JMP Pro
    Score6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM DataStageSAS Enterprise Guide
    Likelihood to Recommend
    5.9
    (11 ratings)
    5.3
    (8 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.0
    (1 ratings)
    Usability
    8.0
    (4 ratings)
    5.0
    (2 ratings)
    Performance
    9.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    9.6
    (3 ratings)
    5.3
    (5 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.0
    (1 ratings)
    User Testimonials
    IBM DataStageSAS Enterprise Guide
    Likelihood to Recommend
    IBM
    DataStage is somewhat outdated for an ETL. I guess that's what makes it a bit lagged behind its competitors. It can be used for data processing, sure, but its performance seems to be lagging behind or quite slow given the server it is running from. I won’t depend on this application if it's handling a lot of mission-critical banking and business data.
    Read full review
    SAS
    SAS Enterprise Guide is good at taking various datasets and giving analyst/user ability to do some transformations without substantial amounts of code. Once the data is inside SAS, the memory of it is very efficient. Using SAS for data analysis can be helpful. It will give good statistics for you, and it has a robust set of functions that aid analysis.
    Incentivized
    Read full review
    Pros
    IBM
    • Connect to multiple types of data-sources including Oracle, Teradata, Snowflake, SQl Server.
    • Powerful tool to load large volumes of data.
    • Transformation stages allow us to reduce the amount of code needed to create ETL scripts.
    • Allow us to synchronize and refresh data as much as needed.
    Incentivized
    Read full review
    SAS
    • Ability to load an AutoExec when opening a session ensuring everyone has the same global variables.
    • Formatting with Ctrl I. If you're reading someone else's code and it's not formatted correctly you can highlight the area and hit Ctrl I.
    Incentivized
    Read full review
    Cons
    IBM
    • Technical support is a key area IBM should improve for this product. Sometimes our case is assigned to a support engineer and he has no idea of the product or services.
    • Provide custom reports for datastage jobs and performance such as job history reports, warning messages or error messages.
    • Make it fully compatible with Oracle and users can direct use of Oracle ODBC drivers instead of Data Direct driver. Same for SQL server.
    Incentivized
    Read full review
    SAS
    • Process time of data is a bit long. It depends on the size of your data and complexity of your project tree.
    • There is not enough online free training videos.
    • While working with the project tree sometimes the links between the modules are broken or the order for running the modules get mixed up. You should know your project tree by heart.
    Incentivized
    Read full review
    Likelihood to Renew
    IBM
    No answers on this topic
    SAS
    On account of current user experience and the organization-wide acceptance.
    Read full review
    Usability
    IBM
    Because it is robust, and it is being continuously improved. DS is one of the most used and recognized tools in the market. Large companies have implemented it in the first instance to develop their DW, but finding the advantages it has, they could use it for other types of projects such as migrations, application feeding, etc.
    Incentivized
    Read full review
    SAS
    It's not all bad, but I don't believe that an enterprise purchase of SAS is worth the expense considering the widely available set of tools in the data analytics space at the moment. In my company, it's a good tool because others use it. Otherwise, I wouldn't purchase a new set of it because it doesn't have some of the better analytical functions in it.
    Incentivized
    Read full review
    Performance
    IBM
    It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records. It is necessary to have people with experience to be able to determine which algorithm to use and understand why.
    Incentivized
    Read full review
    SAS
    No answers on this topic
    Support Rating
    IBM
    IBM offers different levels of support but in my experience being and IBM shop helps to get direct support from more knowledgeable technicians from IBM. Not sure on the cost of having this kind of support, but I know there's also general support and community blogs and websites on the Internet make it easy to troubleshoot issues whenever there's need for that.
    Incentivized
    Read full review
    SAS
    Although I use SAS support for information on functions, these are SAS related and haven't really come across anything that is specifically for SAS EG.
    Incentivized
    Read full review
    Implementation Rating
    IBM
    No answers on this topic
    SAS
    I've not worked hands-on with the implementation team, but there were no escalations barring a few hiccups in the deployment due to change in requirement & adoption to our company's remote servers.
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    Alternatives Considered
    IBM
    With effective capabilities and easy to manipulate the features and easy to produce accurate data analytics and the Cloud services Automation, this IBM platform is more reliable and easy to document management. The features on this platform are equipped with excellent big data management and easy to provide accurate data analytics.
    Incentivized
    Read full review
    SAS
    Why I prefer SAS EG: Data processing speed is much faster than that R Studio. It can load any amount of data and any type of data like structured or unstructured or semi-structured. Its output delivery system by which we have the output in PDF file makes it very comfortable to use and share that file to clients very easily. Inbuilt functions are very powerful and plentiful. Facility of writing macros makes it far away from its competitors.
    Read full review
    Return on Investment
    IBM
    • It’s hard to say at this point, it delivers, but not quite as I expected. It takes a lot of resources to manage and sort this out (manpower, financial).
    • Definitely, I don’t have the exact numbers, but given the data it processes, it is A LOT. So props to the developer of this application.
    • Again, based on my experience, I’d choose other ETL apps if there is one that's more user-friendly.
    Read full review
    SAS
    • Positive (cost): SAS made a bundle that include unlimited usage of SAS/Enterprise Guide with a server solution. That by itself made the company save a lot of money by not having to pay individual licences anymore.
    • Positive (insight): Data analysts in business units often need to crunch data and they don't have access to ETL tools to do it. Having access to SAS/EG gives them that power.
    • Positive (time to market): Having the users develop components with SAS/EG allows for easier integration in a production environment (SAS batch job) as no code rework is required.
    Read full review
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