IBM InfoSphere DataStage vs Informatica PowerExchange comparison

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10,952 views|9,105 comparisons
82% willing to recommend
Informatica Logo
2,618 views|1,970 comparisons
88% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM InfoSphere DataStage and Informatica PowerExchange based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed IBM InfoSphere DataStage vs. Informatica PowerExchange Report (Updated: March 2024).
769,630 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
"The ETL tools are probably the most valuable feature. It has an IBM tool, a friendly UI and it makes things more comfortable.""DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too.""We can view what we want to do. We can transform data and put them on tables.""When we have needed help from the IBM team, they were helpful. Our company is a premium partner so we get fast responses.""The solution's scalability is really good...we are using multi-instance jobs where you can scale them easily.""The solution is very easy to use.""Offers great flexibility.""Highly customizable: Allowing you to handle multiple data latencies (scheduled batch, on-demand, and real-time) in the same job."

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"The scalability is excellent.""It is easy to integrate the solution with other tools.""The most valuable feature is connectivity to data sources.""The product’s flexibility is valuable.""From the product feature or product capability perspective, the aspects around integration, transformation, and standardization are valuable. It's fairly easy to use. It has a GUI-based interface.""The solution can connect to different systems i.e. mainframe, IMS or AS/400 Legacy Systems.""The transformation work called for Informatica PowerExchange. It was easy to work with this and very stable.""Mainstream integration and real-time integration are the best features."

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Cons
"The troubleshooting guide is very bad.""There are three things that could improve - the cloud, monitoring and cloud integration. It's a solid product but not a modern one and of course it depends what you're looking for.""The solution can be a bit more user-friendly, similar to Informatica.""I'd like to be able to do more with the data and metadata, including copy and pasting, et cetera.""The response time from support is slow and needs to be improved.""The template mapping could be easier.""We would be happy to see in next versions the ability to return several parameters from jobs. Now, jobs can return just one parameter. If they could return several parameters, that would be great.""The solution should be more user-friendly."

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"The solution could be made more user-friendly. The configurations are also quite difficult.""Informatica is very expensive in all aspects, so the pricing is something that could be improved.""They should make it quick and easy for use of citizen data integration or for people or integrators developing at the customer side. They could be development teams within the business team. For them, the product owners can consider making it a little bit more seamless and a little bit more democratized.""The product's high costs can be an area of concern where improvements are required.""V10.2 is very stable, but we are still struggling to make V10.5 stable. We found services that were down, and PowerExchange stopped working.""Apache Spark has a machine learning algorithm, an area where Informatica PowerExchange lacks.""Integration with the largest number of databases and other systems would be important.""The major shortcoming of PowerExchange is high availability and failover. None of the versions we've used to date have had the out-of-the-box ability to enable failover and high-availability requirements. This is a significant challenge and risk."

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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 →

  • "An annual package license fee is required."
  • "The cost of PowerExchange is reasonable. It does not rely on complicated formulas or unrealistic equations. The pricing model is straightforward. There is one component, and real-time integration is included. Some other solutions require purchasing additional modules or third-party plugins for this capability."
  • "It's expensive. In fact, nobody would buy any product of Informatica if the price was the only consideration. It costs money, and it doesn't come cheap, but it provides value for money in many ways."
  • "There is a need to pay towards the licensing cost of the product. It is an expensive product."
  • "Many users don't prefer to use the product, considering the high costs attached to the licensing part of the solution."
  • "The product is not very expensive."
  • More Informatica PowerExchange Pricing and Cost Advice →

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    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 tool that can help us not only integrate our data but use it effectively. For the… more »
    Top Answer: I think the tool may cause some difficulties if you have not used other data integration solutions before. I have worked at companies that used different tools for data integration, and they work… more »
    Top Answer:IBM Cloud Paks makes a big difference in your data integration. My company has been using it alongside IBM InfoSphere DataStage and while the main product is good on its own, this one truly expands… more »
    Top Answer:The product is not very expensive. However, the price can grow depending on the customer’s needs and the data feed they want. It depends on how many tables and ingestion pipelines the customers have… more »
    Top Answer:Informatica is now moving to the cloud. PowerExchange is not being promoted as it used to be. The product is not suitable for application integration. There are other tools in the market that are… more »
    Ranking
    7th
    out of 101 in Data Integration
    Views
    10,952
    Comparisons
    9,105
    Reviews
    16
    Average Words per Review
    467
    Rating
    7.9
    21st
    out of 101 in Data Integration
    Views
    2,618
    Comparisons
    1,970
    Reviews
    8
    Average Words per Review
    632
    Rating
    8.0
    Comparisons
    Also Known As
    PowerExchange, Connectors
    Learn More
    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.

    Informatica PowerExchange Connectors provides high performance, out-of-the-box connectivity without having to develop custom data access programs.

    Sample Customers
    Dubai Statistics Center, Etisalat Egypt
    ACH Food, BNSF Railway Company, Illinois State University
    Top Industries
    REVIEWERS
    Computer Software Company50%
    Insurance Company14%
    Transportation Company7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Manufacturing Company11%
    Computer Software Company10%
    Insurance Company8%
    REVIEWERS
    Computer Software Company25%
    Insurance Company25%
    Comms Service Provider13%
    Financial Services Firm13%
    VISITORS READING REVIEWS
    Financial Services Firm27%
    Insurance Company12%
    Computer Software Company12%
    Government7%
    Company Size
    REVIEWERS
    Small Business45%
    Midsize Enterprise6%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise74%
    REVIEWERS
    Small Business37%
    Midsize Enterprise11%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise8%
    Large Enterprise80%
    Buyer's Guide
    IBM InfoSphere DataStage vs. Informatica PowerExchange
    March 2024
    Find out what your peers are saying about IBM InfoSphere DataStage vs. Informatica PowerExchange and other solutions. Updated: March 2024.
    769,630 professionals have used our research since 2012.

    IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while Informatica PowerExchange is ranked 21st in Data Integration with 19 reviews. IBM InfoSphere DataStage is rated 7.8, while Informatica PowerExchange is rated 7.8. The top reviewer of IBM InfoSphere DataStage writes "User-friendly with a lot of functions for transmission rules, but has slow performance and not suitable for a huge volume of data". On the other hand, the top reviewer of Informatica PowerExchange writes "Comprehensive, capable of handling large volumes, and helpful for fast-paced movement of data". IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas Informatica PowerExchange is most compared with Informatica PowerCenter, Oracle GoldenGate, Qlik Replicate, Azure Data Factory and Informatica Cloud Data Integration. See our IBM InfoSphere DataStage vs. Informatica PowerExchange report.

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    We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.