IBM InfoSphere DataStage vs Talend Data Management Platform comparison

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11,157 views|9,214 comparisons
82% willing to recommend
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2,829 views|2,371 comparisons
88% willing to recommend
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Executive Summary

We performed a comparison between IBM InfoSphere DataStage and Talend Data Management Platform 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. Talend Data Management Platform Report (Updated: March 2024).
768,578 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
"Once you have Infosphere up and running properly, it is stable.""The most valuable feature is the product's versatility to inject data.""We can view what we want to do. We can transform data and put them on tables.""The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms""The concept of integration is a valuable feature of the product.""In IBM DataStage, the Transformer is the most valuable feature for me. It enables me to apply complex transformations, generate the gateway key, and map source tables into the session table.""The solution is stable.""The Hierarchical Data Stage is good."

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"The most valuable features of the Talend Data Management Platform are the components.""The most valuable feature is integration.""I like everything about this product, but the biggest thing is the ease of use.""The solution can run on any machine and that is a big advantage.""I like the way that you can use the context variables, and how you can work those context variables to give you values and settings for every development environment, such as PROD, TEST, and DEV.""I think Talend is one of the easiest tools for faster implementation compared to other tools.""The availability of connectors is great.""They're very competitive in terms of performance, which is a good selling point. It has very rich features. It provides a very rich feature set in the application."

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Cons
"It would be great if they can include some basic version of data quality checking features.""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.""It takes a lot of time to actually trigger your job and then go into the logs and other stuff. So all of this is really time-consuming.""In the future, I would like to see more integration with cloud technologies.""The setup is extremely difficult.""The solution can be a bit more user-friendly, similar to Informatica.""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.""Improvements for DataStage could include better integration with modern data sources like cloud solutions and documents, along with enhancing its capability to handle non-structured data."

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"They lack in memory capacity.""The solution's memory sometimes bottlenecks and that can be challenging.""I would like to sync a project and do an upload from that current version, and then from GitLab, be able to download the latest one.""The stability is good, but the performance is slower when I work on a huge amount of data.""Including either XML or JSON in the next release would definitely be a good transformation. I'm not sure if Talend has that feature, but it's one of those requirements that we are working around and have to do some parsing of XML so this could make it easier.""Performance and speed could be improved.""Once you get past the basic tools, it gets pretty complicated.""I'd be interested in seeing the running of Python programs and transformations from within the studio itself."

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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 →

  • "License renewal is on a yearly basis."
  • "The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
  • "The solution's pricing is very reasonable and half the cost of Informatica."
  • "The licensing cost is about 40,000 Euros a year."
  • "The price of the Talend Data Management Platform is reasonable. The other competing solutions are priced high. Gartner Magic Quadrant identified other solutions, such as Informatica, that are far more expensive."
  • "The price is on a per-user basis. It's a little more expensive than other tools. There aren't any additional costs beyond the standard licensing fee."
  • "The tool is cheap."
  • More Talend Data Management Platform 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:We can develop our own code if we do not see the functionality we need.
    Top Answer:The vendor successfully created a cloud solution. However, lifting and shifting all the functionality available on-premises will be a heavy task. They are working on it. The product must enhance the… more »
    Ranking
    7th
    out of 100 in Data Integration
    Views
    11,157
    Comparisons
    9,214
    Reviews
    15
    Average Words per Review
    452
    Rating
    7.9
    22nd
    out of 100 in Data Integration
    Views
    2,829
    Comparisons
    2,371
    Reviews
    6
    Average Words per Review
    515
    Rating
    8.0
    Comparisons
    Also Known As
    Talend Integration Suite
    Learn More
    Talend
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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.

    Talend offers robust data integration in an open and scalable architecture to maximize its value to your business. Simple, graphical tools and wizards get you up and running quickly with native code generation that streamlines development.
    Sample Customers
    Dubai Statistics Center, Etisalat Egypt
    Accent Group, Acticall, Allianz Global Investors Distributors LLC, Car & Boat Media, Cdiscount.com
    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 Company44%
    University22%
    Retailer11%
    Healthcare Company11%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm15%
    Manufacturing Company9%
    Government7%
    Company Size
    REVIEWERS
    Small Business45%
    Midsize Enterprise6%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise75%
    REVIEWERS
    Small Business47%
    Midsize Enterprise16%
    Large Enterprise37%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise68%
    Buyer's Guide
    IBM InfoSphere DataStage vs. Talend Data Management Platform
    March 2024
    Find out what your peers are saying about IBM InfoSphere DataStage vs. Talend Data Management Platform and other solutions. Updated: March 2024.
    768,578 professionals have used our research since 2012.

    IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while Talend Data Management Platform is ranked 22nd in Data Integration with 17 reviews. IBM InfoSphere DataStage is rated 7.8, while Talend Data Management Platform is rated 8.4. 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 Talend Data Management Platform writes "Built for everything and packed with features but there are some monitoring limitations". IBM InfoSphere DataStage is most compared with SSIS, IBM Cloud Pak for Data, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas Talend Data Management Platform is most compared with Talend Open Studio, Talend Data Fabric, SAP Data Services, Collibra Catalog and SSIS. See our IBM InfoSphere DataStage vs. Talend Data Management Platform 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.