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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
    Pricing
    IBM DataStage
    Editions & Modules
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM DataStage
    Free Trial
    Yes
    Free/Freemium Version
    No
    Premium Consulting/Integration Services
    No
    Entry-level Setup FeeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    IBM DataStage
    Considered Both Products
    IBM
    Chose IBM DataStage
    No, it wasn’t my decision to use such an ETL product. I’m just the administrator at this point. I’ve heard there are other products there that are even on cloud support. That is much easier to use, more agile, and user-friendly. That doesn’t have that barrier from user to …
    Incentivized
    Chose IBM DataStage
    IBM DataStage performes bettere than SSIS in every aspect. IBM DataStage performes better than SAP Data Services in terms of variables and job orchestration flexibility. It is as strong as ODI, but less complex to implement. It allows to write SQL queries as dbt and Glue, but I …
    Incentivized
    Chose IBM DataStage
    its very good and i would get best support from ibm if their is any issue.i would upgrade it very easily.ibm red books are very good for learning and getting expertise on the product.we would get frequent updates when their is a patch released.it would be easy to integrate with …
    Incentivized
    Chose IBM DataStage
    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 …
    Incentivized
    Chose IBM DataStage
    IBM Infosphere DataStage has been in the market for more than a decade now. It is reliable and the user community online is vast and which helps with the resolution identification easily. IBM has done a good job keeping up with guiding connectors and links for new databases …
    Incentivized
    Chose IBM DataStage
    It's obvious since they both are from the same vendors and it makes it easier and can get better rates for licensing. Also, sales rapes are very helpful in case of escalations and critical issues.
    Incentivized
    Chose IBM DataStage
    Currently not using any of the Informatica tools, so, I don't have a real way of comparing the tools. But comparison against Microsoft SSIS (SQL Server Integration Services) I'd say DataStage stacks favorably. DataStage is a powerful tool for ETL processes that integrates …
    Incentivized
    Chose IBM DataStage
    We chose IBM InfoSphere DataStage because it is the tool that has been used, historically, at the company level. In the near future, nothing prevents us from orienting ourselves to new solutions in view of a restructuring of architecture.
    Incentivized
    Chose IBM DataStage
    We have very limited experience of using Informix and should not provide any comments. But datastage works real well for us.
    Incentivized
    Chose IBM DataStage
    Compared to other ETL tools, the connectors really work, and makes the developments less complex because they facilitate the development of the processes. The maintenance of the processes is simple, since it is a very visual tool, and you can count on the technical …
    Incentivized
    Chose IBM DataStage
    DataStage offers better integration capabilities without the need to write code manually. It also has a native ETL engine whereas MSIS requires a SQL Server. It has better integration capabilities with data quality, data profiling and data governance tools. The main drawback of …
    Incentivized
    Key User Insights
    Would buy again
    89%
    Would buy again
    8 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    5 Answers
    Happy with the feature set
    89%
    Happy with the feature set
    8 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    7 Answers
    Implementation went as expected
    88%
    Implementation went as expected
    7 Answers
    Features
    IBM DataStage
    Data Source Connection
    Comparison of Data Source Connection features of IBM DataStage
    Feature
    IBM DataStage
    7.7
    11 Ratings
    8% below category average
    Connect to traditional data sources7.911 Ratings
    Connecto to Big Data and NoSQL7.610 Ratings
    Data Transformations
    Comparison of Data Transformations features of IBM DataStage
    Feature
    IBM DataStage
    7.7
    11 Ratings
    5% below category average
    Simple transformations8.011 Ratings
    Complex transformations7.311 Ratings
    Data Modeling
    Comparison of Data Modeling features of IBM DataStage
    Feature
    IBM DataStage
    7.2
    11 Ratings
    9% below category average
    Data model creation7.18 Ratings
    Metadata management5.010 Ratings
    Business rules and workflow7.410 Ratings
    Collaboration7.411 Ratings
    Testing and debugging6.711 Ratings
    Data Governance
    Comparison of Data Governance features of IBM DataStage
    Feature
    IBM DataStage
    5.3
    10 Ratings
    41% below category average
    Integration with data quality tools5.310 Ratings
    Integration with MDM tools5.310 Ratings
    Best Alternatives
    IBM DataStage
    Small Businesses
    Skyvia
    Score10 out of 10
    Medium-sized Companies
    IBM InfoSphere Information Server
    Score10 out of 10
    Enterprises
    SolarWinds Task Factory
    Score8.3 out of 10
    All AlternativesView all alternatives
    User Ratings
    IBM DataStage
    Likelihood to Recommend
    5.9
    (11 ratings)
    Usability
    8.0
    (4 ratings)
    Performance
    9.0
    (1 ratings)
    Support Rating
    9.6
    (3 ratings)
    User Testimonials
    IBM DataStage
    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
    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
    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
    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
    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
    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
    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
    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.
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    ScreenShots