IBM InfoSphere DataStage vs SSIS vs WhereScape RED comparison

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11,157 views|9,214 comparisons
82% willing to recommend
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Read 69 SSIS reviews
19,568 views|15,878 comparisons
79% willing to recommend
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2,654 views|1,753 comparisons
95% willing to recommend
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Executive Summary

We performed a comparison between IBM InfoSphere DataStage, SSIS, and WhereScape RED based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration.
To learn more, read our detailed Data Integration Report (Updated: April 2024).
768,740 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too.""It works with multiple servers and offers high availability.""The most valuable feature is the data integration for data warehousing.""As a data integration platform, it is easy to use. It is quite robust and useful for volumetric analysis when you have huge volumes of data. We have tested it for up to ten million rows, and it is robust enough to process ten million rows internally with its parallel processing. Its error logging mechanism is far simpler and easier to understand than other data integration tools. The newer version of InfoSphere has the data catalog and IDC lineage. They are helpful in the easy traceability of columns and tables.""Finding logs is very easy on the solution.""The most valuable feature is the product's versatility to inject data.""Highly customizable: Allowing you to handle multiple data latencies (scheduled batch, on-demand, and real-time) in the same job.""The solution's scalability is really good...we are using multi-instance jobs where you can scale them easily."

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"The technical support is very good.""Overall, it's a good product.""The scalability of SSIS is good.""The performance is better than doing it in some alternative ways. We don't have to worry about so much manual work.""The simplicity of the solution is great. The solution also offers excellent integration.""The main value of any Microsoft product is the ease of use. You can achieve more with less time. That's what's beneficial for me. With many competitors, you might need to spend more time coming up with a solution because you have to focus on taking care of the product.""The setup is straightforward. It's very easy to install.""The product's deployment phase is easy."

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"Data transformations and rollups are easy to accomplish.""This is a fantastically robust DW tool that will make you at least 10 times faster in producing a DW.""It has a built-in automatic scheduling environment.""I like the data vault implementations.""WhereScape's deployment package is a fantastic feature. The application allows for selecting specific objects that you would like to deploy from one environment to another rather than deploying the entire database.""Their support staff are very knowledgeable, courteous, and professional. I feel their support staff go above and beyond to assure their customers are satisfied.""Quickly develops a data warehouse for our organization with documentation and can track back/forward features.""Support is absolutely excellent, efficient, and timely."

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Cons
"In terms of intermediate storage, we have some challenges, especially with customers who store data in intermediate locations.""Currently lacking virtualization ability.""The response time from support is slow and needs to be improved.""It would be useful to provide support for Python, AR, and Java.""It doesn't have any big data connections. It would be good to have them because most of the systems are moving towards big data. There should also be a user-friendly way to interact with the cloud. Its loading process is very slow. It takes a lot of time for around 5 or 6 million records, and we are not able to provide real-time data to the vendors due to this delay. Its performance needs to be improved. It is also like a legacy system. It is not updated much. In higher versions, they only do small changes. We would like to have new features and new technologies.""The graphical user interface (GUI) feels a lot like the interfaces from the 1980s.""In the future, I would like to see more integration with cloud technologies.""The solution should be more user-friendly."

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"Tuning using this solution requires extensive expertise to improve performance.""In terms of its performance, it could be better. That could be something that would be easy and welcomed as an upgrade.""It would be nice if you could run SSIS on other environments besides Windows.""We have a stability problem because when something works, it works one time. The next time, it doesn't work.""The performance of SSIS could improve when comparing it to Oracle Database.""I would like to see more standard components out of the box, such as SFTP, and Data Compression components.""Video training would be a helpful addition.""Future releases should improve the data lineage, as it currently is not good."

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"The scheduled jobs which are run by the WhereScape scheduler seem to be a strangely separate animal. Unlike all other WhereScape objects, jobs cannot be added to WhereScape projects. Also, unlike all other objects, jobs also cannot be deleted using a WhereScape deployment application.""They need a more robust support center. It has been a bit difficult to find solutions to problems that are out-of-the-box.""The solution can be a little more user-friendly on enterprise-level where people use it.""Customization could be better.""It could use a tool to diagnose what is missing from the environment for WhereScape to install successfully.""Improve the object renaming ability (it works, but it could be more automated).""The ability to execute SSIS projects within WhereScape would be nice because we have a lot of packages that are too cumbersome to recreate.""Jobs cannot be deleted via the deployment package. When deploying from dev to QA or production, a job has to be retired. The job has to be manually removed from the target environment."

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Pricing and Cost Advice
  • "High-cost of ownership: They could take a page from open source software."
  • "Pricing varies based on use, and it is not as costly as some competing enterprise solutions."
  • "Small and medium-sized companies cannot afford to pay for this solution."
  • "The cost is too high."
  • "It's very expensive."
  • "Our internal team takes care of group licensing and cost. We don't have individual licenses. We have group licensing at the company level. Usually, IBM doesn't charge anything separately on the licensing side. For storage and everything else, we are paying around $6,000 per month, which is not very high. It includes Linux data storage, execution, and licensing. They're charging $40 for one-hour execution. Based on that, we are spending around $2,000 on the production environment and $1,000 on the lower environment for testing and development-side executions. For the mainframe, we are using the Db2 mainframe database, and we are spending around $1,000 on the Db2 mainframe database as well. All this comes out to be around $6,000. We, however, would like to have some cost reduction."
  • "The price is expensive but there are no licensing fees."
  • "It is quite expensive."
  • More IBM InfoSphere DataStage Pricing and Cost Advice →

  • "This solution has provided an inexpensive tool, and it is easy to find experienced developers."
  • "My advice is to look at what your configuration will be because most companies have their own deals with Microsoft."
  • "This solution is included with the MSSQL server package."
  • "It would be beneficial if the solution had a less costly cloud offering."
  • "Based on my experience and understanding, Talend comes out to be a little bit expensive as compared to SSIS. The average cost of having Talend with Talend Management Console is around 72K per region, which is much higher than SSIS. SSIS works very well with Microsoft technologies, and if you have Microsoft technologies, it is not really expensive to have SSIS. If you have SQL Server, SSIS is free."
  • "We have an enterprise license for this solution."
  • "It comes bundled with other solutions, which makes it difficult to get the price on the specific product."
  • "All of my clients have this product included as part of their Microsoft license."
  • More SSIS Pricing and Cost Advice →

  • "Factor in the price of specialized consulting who know this product. They're hard to find and expensive."
  • "ROI is at least 10 times."
  • "Speed to market of a warehouse solution at a relatively inexpensive price point."
  • "Our company purchased a corporate unlimited license."
  • More WhereScape RED Pricing and Cost Advice →

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    Comparison Review
    Anonymous User
    Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations There are many third-party vendors offering ETL solutions, but two of the most popular are PowerCenter Informatica and Microsoft SSIS (SQL Server Integration Services). Each technology has its advantages but there are also similarities on how they carry out the extract-transform-load processes and only differ in terminologies. If you’re in the process of choosing ETL tools and PowerCenter Informatica and Microsoft SSIS made it to your shortlist, here is a short comparative discussion detailing the differences between the two, as well as their benefits. Package Configuration Most enterprise data integration projects would require the capacity to develop a solution in one platform and test and deploy it in a separate environment without having to manually change the established workflow. In order to achieve this seamless movement between two environments, your ETL technology should allow the dynamic update of the project’s properties using the content or a parameter file or configuration. Both Informatica and SSIS support this functionality using different methodologies. In Informatica, every session can have more than one source and one or more destination connections. There are… Read more →
    Questions from the Community
    Top Answer: My company currently uses the free version of the product, and we are definitely switching to a paid one. We needed a… more »
    Top Answer: I think the tool may cause some difficulties if you have not used other data integration solutions before. I have… more »
    Top Answer:IBM Cloud Paks makes a big difference in your data integration. My company has been using it alongside IBM InfoSphere… more »
    Top Answer:SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called… more »
    Top Answer:The product's deployment phase is easy.
    Top Answer:If you don't want to pay a lot of money, you can go for SSIS, as its open-source version is available. When it comes to… more »
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    Ranking
    7th
    out of 100 in Data Integration
    Views
    11,157
    Comparisons
    9,214
    Reviews
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    Average Words per Review
    452
    Rating
    7.9
    2nd
    out of 100 in Data Integration
    Views
    19,568
    Comparisons
    15,878
    Reviews
    35
    Average Words per Review
    471
    Rating
    7.7
    48th
    out of 100 in Data Integration
    Views
    2,654
    Comparisons
    1,753
    Reviews
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    Average Words per Review
    0
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    Also Known As
    SQL Server Integration Services
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    WhereScape
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    Overview

    IBM InfoSphere DataStage is a high-quality data integration tool that aims to design, develop, and run jobs that move and transform data for organizations of different sizes. The product works by integrating data across multiple systems through a high-performance parallel framework. It supports extended metadata management, enterprise connectivity, and integration of all types of data.

    The solution is the data integration component of IBM InfoSphere Information Server, providing a graphical framework for moving data from source systems to target systems. IBM InfoSphere DataStage can deliver data to data warehouses, data marts, operational data sources, and other enterprise applications. The tool works with various types of patterns - extract, transform and load (ETL), and extract, load, and transform (ELT). The scalability of the platform is achieved by using parallel processing and enterprise connectivity.

    The solution has various versions, catering to different types of companies, which include the Server Edition, the Enterprise Edition, and the MVS Edition. Depending on which version a company has bought, different goals can be achieved. They include the following:

    • Designing data flows to extract information from multiple sources, transform the data, and deliver it to target databases or applications.

    • Delivery of relevant and accurate data through direct connections to enterprise applications.

    • Reduction of development time and improvement of consistency through prebuilt functions.

    • Utilization of InfoSphere Information Server tools for accelerating the project delivery cycle.

    IBM InfoSphere DataStage can be deployed in various ways, including:

    • As a service: The tool can be accessed from a subscription model, where its capabilities are a part of IBM DataStage on IBM Cloud Park for Data as a Service. This option offers full management on IBM Cloud.

    • On premises or in any cloud: The two editions - IBM DataStage Enterprise and IBM DataStage Enterprise Plus - can run workloads on premises or in any cloud when added to IBM DataStage on IBM Cloud Pak for Data as a Service.

    • On premises: The basic jobs of the tool can be run on premises using IBM DataStage.

    IBM InfoSphere DataStage Features

    The tool has various features through which users can integrate and utilize their data effectively. The components of IBM InfoSphere DataStage include:

    • AI services: The tool offers services such as data science, event messaging, data warehousing, and data virtualization. It accelerates processes through artificial intelligence (AI) and offers a connection with IBM Cloud Paks - the cloud-native insight platform of the solution.

    • Parallel engine: Through this feature, ETL performance can be optimized to process data at scale. This is achieved through parallel engine and load balancing, which maximizes throughput.

    • Metadata support: This feature of the product uses the IBM Watson Knowledge Catalog to protect companies' sensitive data and monitor who can access it and at what levels.

    • Automated delivery pipelines: IBM InfoSphere DataStage reduces costs by automating continuous integration and delivery of pipelines.

    • Prebuilt connectors: The feature for prebuilt connectivity and stages allows users to move data between multiple cloud sources and data warehouses, including IBM native products.

    • IBM DataStage Flow Designer: This feature offers assistance through machine learning design. The product offers its clients a user-friendly interface which facilitates the work process.

    • IBM InfoSphere QualityStage: The tool provides a feature that automatically resolves data quality issues and increases the reliability of the delivered data.

    • Automated failure detection: Through this feature, companies can reduce infrastructure management efforts, relying on the automated detection that the tool offers.

    • Distributed data processing: Cloud runtimes can be executed remotely through this feature while maintaining its sovereignty and decreasing costs.

    IBM InfoSphere DataStage Benefits

    This solution offers many benefits for the companies that utilize it for data integration. Some of these benefits include:

    • Increased speed of workload execution due to better balancing and a parallel engine.

    • Reduction of data movement costs through integrations and seamless design of jobs.

    • Modernization of data integration by extending the capabilities of companies' data.

    • Delivery of reliable data through IBM Cloud Pak for Data.

    • Utilization of a drag-and-drop interface which assists in the delivery of data without the need for code.

    • Effective data manipulation allows data to be merged before being mapped and transformed.

    • Creating easier access of users to their data by providing visual maps of the process and the delivered data.

    Reviews from Real Users

    A data/solution architect at a computer software company says the product is robust, easy to use, has a simple error logging mechanism, and works very well for huge volumes of data.

    Tirthankar Roy Chowdhury, team leader at Tata Consultancy Services, feels the tool is user-friendly with a lot of functionalities, and doesn't require much coding because of its drag-and-drop features.

    SSIS is a versatile tool for data integration tasks like ETL processes, data migration, and real-time data processing. Users appreciate its ease of use, data transformation tools, scheduling capabilities, and extensive connectivity options. It enhances productivity and efficiency within organizations by streamlining data-related processes and improving data quality and consistency.

    WhereScape is data warehouse software that automates the Data Warehouse lifecycle. From implementation to maintenance, WhereScape will ensure your data warehouse projects are completed up to 5x faster than manual coding.

    Sample Customers
    Dubai Statistics Center, Etisalat Egypt
    1. Amazon.com 2. Bank of America 3. Capital One 4. Coca-Cola 5. Dell 6. E*TRADE 7. FedEx 8. Ford Motor Company 9. Google 10. Home Depot 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Foods 15. Lockheed Martin 16. McDonald's 17. Microsoft 18. Morgan Stanley 19. Nike 20. Oracle 21. PepsiCo 22. Procter & Gamble 23. Prudential Financial 24. RBC Capital Markets 25. SAP 26. Siemens 27. Sony 28. Toyota 29. UnitedHealth Group 30. Visa 31. Walmart 32. Wells Fargo
    British American Tobacco, Cornell University, Allianz Benelux, Finnair, Solarwinds and many more.
    Top Industries
    REVIEWERS
    Computer Software Company50%
    Insurance Company14%
    Transportation Company7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Manufacturing Company11%
    Computer Software Company10%
    Insurance Company7%
    REVIEWERS
    Financial Services Firm23%
    Government8%
    Healthcare Company8%
    Retailer8%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company12%
    Government7%
    Healthcare Company6%
    REVIEWERS
    Healthcare Company20%
    University20%
    Manufacturing Company20%
    Energy/Utilities Company13%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Government11%
    Insurance Company9%
    Computer Software Company8%
    Company Size
    REVIEWERS
    Small Business45%
    Midsize Enterprise6%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise75%
    REVIEWERS
    Small Business27%
    Midsize Enterprise18%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise72%
    Buyer's Guide
    Data Integration
    April 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
    768,740 professionals have used our research since 2012.