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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

    Informatica Cloud Data Quality

    Score6.9 out of 10
    N/AThe vendor states that Informatica Data Quality empowers companies to take a holistic approach to managing data quality across the entire organization, and that with Informatica Data Quality, users are able to ensure the success of data-driven digital transformation initiatives and projects across users, types, and scale, while also automating mission-critical tasks.N/A
    Pricing
    IBM DataStageInformatica Cloud Data Quality
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM DataStageInformatica Cloud Data Quality
    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 DataStageInformatica Cloud Data Quality
    Considered Both Products
    IBM
    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
    Informatica
    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 DataStageInformatica Cloud Data Quality
    Data Source Connection
    Comparison of Data Source Connection features of IBM DataStage and Informatica Cloud Data Quality
    Feature
    IBM DataStage
    7.7
    11 Ratings
    8% below category average
    Informatica Cloud Data Quality
    -
    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 Informatica Cloud Data Quality
    Feature
    IBM DataStage
    7.6
    11 Ratings
    7% below category average
    Informatica Cloud Data Quality
    -
    Ratings
    Simple transformations8.011 Ratings00 Ratings
    Complex transformations7.311 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of IBM DataStage and Informatica Cloud Data Quality
    Feature
    IBM DataStage
    7.2
    11 Ratings
    10% below category average
    Informatica Cloud Data Quality
    -
    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 Informatica Cloud Data Quality
    Feature
    IBM DataStage
    5.3
    10 Ratings
    42% below category average
    Informatica Cloud Data Quality
    -
    Ratings
    Integration with data quality tools5.310 Ratings00 Ratings
    Integration with MDM tools5.310 Ratings00 Ratings
    Data Quality
    Comparison of Data Quality features of IBM DataStage and Informatica Cloud Data Quality
    Feature
    IBM DataStage
    -
    Ratings
    Informatica Cloud Data Quality
    8.2
    4 Ratings
    4% below category average
    Data source connectivity00 Ratings8.94 Ratings
    Data profiling00 Ratings8.74 Ratings
    Master data management (MDM) integration00 Ratings8.24 Ratings
    Data element standardization00 Ratings7.14 Ratings
    Match and merge00 Ratings7.94 Ratings
    Address verification00 Ratings8.44 Ratings
    Best Alternatives
    IBM DataStageInformatica Cloud Data Quality
    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
    SAP Data Services
    Score7.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM DataStageInformatica Cloud Data Quality
    Likelihood to Recommend
    5.9
    (11 ratings)
    9.0
    (19 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    6.6
    (14 ratings)
    Usability
    8.0
    (4 ratings)
    8.0
    (1 ratings)
    Availability
    -
    (0 ratings)
    9.0
    (2 ratings)
    Performance
    9.0
    (1 ratings)
    9.0
    (1 ratings)
    Support Rating
    9.6
    (3 ratings)
    -
    (0 ratings)
    Online Training
    -
    (0 ratings)
    10.0
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    10.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    9.0
    (1 ratings)
    User Testimonials
    IBM DataStageInformatica Cloud Data Quality
    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
    Informatica
    For effective data collaboration, systematic verification of customer information, and address, among others, Informatica Data Quality is a fruitful application to consider. Besides, Informatica Data Quality controls quality through a cleansing process, giving the company a professional outline of candid data profiling and reputable analytics. Finally, Informatica Data Quality allows the simplistic navigation of content, with a dashboard that supports predictability.
    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
    Informatica
    • The matching algorithms in IDQ are very powerful if you understand the different types that they offer (e.g., Hamming Distance, Jaro, Bigram, etc..). We had to play around with it to see which best suit our own needs of identifying and eliminating duplicate customers. Setting up the whole process (e.g., creating the KeyGenerator Transformation, setting up the matching threshold, etc..) can be somewhat time consuming and a challenge if you don't first standardize your data.
    • The integration with PowerCenter is great if you have both. You can either import your mappings directly to PowerCenter or to an XML file. The only downside is that some of the transformations are unique to IDQ, so you are not really able to edit them once in PowerCenter.
    • The standardizer transformation was key in helping us standardize our customer data (e.g., names, addresses, etc..). It was helpful due to having create a reference table containing the standardized value and the associated unstandardized values. What was great was that if you used Informatica Analyst, a business analyst could login and correct any of the values.
    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
    Informatica
    • Several partnerships diminishing the value of technologies
    • Unable to get list of objects from Repository (like sources & targets) that don't have any dependency
    • Scheduling: The built-in scheduling tool has many constraints such as handling Unix/VB scripts etc. Most enterprises use third party tools for this.
    Read full review
    Likelihood to Renew
    IBM
    No answers on this topic
    Informatica
    As pointed out earlier, due all the robust features IDQ has, our use f the product is successful and stable. IDQ is being used in multiple sources (from CRM application and in batch mode). As this is an iterative process, we are looking to improve our system efficiency using IDQ.
    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
    Informatica
    Easy to use not only for developers but also business users
    Incentivized
    Read full review
    Reliability and Availability
    IBM
    No answers on this topic
    Informatica
    The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server
    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
    Informatica
    Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.
    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
    Informatica
    No answers on this topic
    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
    Informatica
    IDQ is used by a department at my organisation to ensure and enhance the data quality.
    The usage was started with address standardization and now it had been brought to altogether a next level of quality check where it fixes duplicates, junk characters, standardize the names, streets, product descriptions.
    In the past we had issues mainly with duplicate customers and products and this were affecting the sales projection and estimates.
    Read full review
    Scalability
    IBM
    No answers on this topic
    Informatica
    Scalability works as expected and it is truly an enterprise system.
    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
    Informatica
    • Integration with tools like PowerCenter helped faster delivery of product, and at the same time conversion
    • Reduce overall project cost due to bad data , bad quality, exceptions identified nearing go-live and post production
    • Employee efficiency is increased exponentially due to more automated, customized tool
    Read full review
    ScreenShots