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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

    Azure SQL Database

    Score8.5 out of 10
    N/AAzure SQL Database is Microsoft's relational database as a service (DBaaS).

    $0.50

    Per Hour

    Pricing
    IBM DataStageAzure SQL Database
    Editions & Modules
    No answers on this topic
    2 vCORE
    $0.5044
    Per Hour
    6 vCORE
    $1.5131
    Per Hour
    10 vCORE
    $2.52
    Per Hour
    Offerings
    Pricing Offerings
    IBM DataStageAzure SQL Database
    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 DataStageAzure SQL Database
    Considered Both Products
    IBM
    No answer on this topic
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    89%
    Would buy again
    8 Answers
    100%
    Would buy again
    17 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    5 Answers
    100%
    Delivers good value for the price
    16 Answers
    Happy with the feature set
    89%
    Happy with the feature set
    8 Answers
    94%
    Happy with the feature set
    16 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    7 Answers
    93%
    Lived up to sales and marketing promises
    14 Answers
    Implementation went as expected
    88%
    Implementation went as expected
    7 Answers
    94%
    Implementation went as expected
    16 Answers
    Features
    IBM DataStageAzure SQL Database
    Data Source Connection
    Comparison of Data Source Connection features of IBM DataStage and Azure SQL Database
    Feature
    IBM DataStage
    7.7
    11 Ratings
    8% below category average
    Azure SQL Database
    -
    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 Azure SQL Database
    Feature
    IBM DataStage
    7.6
    11 Ratings
    7% below category average
    Azure SQL Database
    -
    Ratings
    Simple transformations8.011 Ratings00 Ratings
    Complex transformations7.311 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of IBM DataStage and Azure SQL Database
    Feature
    IBM DataStage
    7.2
    11 Ratings
    10% below category average
    Azure SQL Database
    -
    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 Azure SQL Database
    Feature
    IBM DataStage
    5.3
    10 Ratings
    42% below category average
    Azure SQL Database
    -
    Ratings
    Integration with data quality tools5.310 Ratings00 Ratings
    Integration with MDM tools5.310 Ratings00 Ratings
    Database-as-a-Service
    Comparison of Database-as-a-Service features of IBM DataStage and Azure SQL Database
    Feature
    IBM DataStage
    -
    Ratings
    Azure SQL Database
    7.2
    32 Ratings
    16% below category average
    Automatic software patching00 Ratings6.330 Ratings
    Database scalability00 Ratings7.832 Ratings
    Automated backups00 Ratings7.832 Ratings
    Database security provisions00 Ratings8.832 Ratings
    Monitoring and metrics00 Ratings6.831 Ratings
    Automatic host deployment00 Ratings6.127 Ratings
    Best Alternatives
    IBM DataStageAzure SQL Database
    Small Businesses
    Skyvia
    Score10 out of 10
    MongoDB Atlas
    Score7.8 out of 10
    Medium-sized Companies
    IBM InfoSphere Information Server
    Score10 out of 10
    Azure Database
    Score8.8 out of 10
    Enterprises
    SolarWinds Task Factory
    Score8.3 out of 10
    Google Cloud SQL
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM DataStageAzure SQL Database
    Likelihood to Recommend
    5.9
    (11 ratings)
    8.0
    (32 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.0
    (1 ratings)
    Usability
    8.0
    (4 ratings)
    8.5
    (5 ratings)
    Performance
    9.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    9.6
    (3 ratings)
    9.0
    (5 ratings)
    User Testimonials
    IBM DataStageAzure SQL Database
    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
    Microsoft
    We have found it's a great alternative for making older legacy applications work with online databases instead of only on-premises databases. We've converted over a dozen applications this way, and it has allowed our clients to have a distributed workforce using their applications without incurring the expense of a complete application rewrite.
    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
    Microsoft
    • Maintenance is always an issue, so using a cloud solution saves a lot of trouble.
    • On premise solutions always suffer from fragmented implementations here and there, where several "dba's" keep track of security and maintenance. With a cloud database it's much easier to keep a central overview.
    • Security options in SQL database are next level... data masking, hiding sensitive data where always neglected on premise, whereas you'll get this automatically in the cloud.
    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
    Microsoft
    • One needs to be aware that some T-SQL features are simply not available.
    • The programmatic access to server, trace flags, hardware from within Azure SQL Database is taken away (for a good reason).
    • No SQL Agent so your jobs need to be orchestrated differently.
    • The maximum concurrent logins maybe an unexpected problem.
    • Sudden disconnects.
    • The developers and admin must study the capacity and tier usage limits https://docs.microsoft.com/en-us/azure/azure-subscription-service-limits otherwise some errors or even transaction aborts never seen before can occur.
    • Only one Latin Collation choice.
    • There is no way to debug T-SQL ( a big drawback in my point of view).
    Incentivized
    Read full review
    Likelihood to Renew
    IBM
    No answers on this topic
    Microsoft
    This is best solution as a DBA one could expect from a service provider and as a cloud service, it removes all your hassles.
    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
    Microsoft
    The interfaces are intuitive once you are familiar with all the functions. The ability to use different tools to interact with the platform, such as directly via a browser or code editors such as VS Code or Visual Studio is a great option and allows for integrating withn the project and other testing and developing tools.
    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
    Microsoft
    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
    Microsoft
    We give the support a high rating simply because every time we've had issues or questions, representatives were in contact with us quickly. Without fail, our issues/questions were handled in a timely matter. That kind of response is integral when client data integrity and availability is in question. There is also a wealth of documentation for resolving issues on your own.
    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
    Microsoft
    We moved away from Oracle and NoSQL because we had been so reliant on them for the last 25 years, the pricing was too much and we were looking for a way to cut the cord. Snowflake is just too up in the air, feels like it is soon to be just another line item to add to your Azure subscription. Azure was just priced right, easy to migrate to and plenty of resources to hire to support/maintain it. Very easy to learn, too.
    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.
    Read full review
    Microsoft
    • Perfect for small and medium databases, being very cost effective.
    • As a Platform as a Service, there is no concern about patches, upgrades and end of life.
    • Be aware of security and network capabilities. The service cannot run in the VNET as Azure Virtual Machines do.
    Read full review
    ScreenShots