IBM InfoSphere DataStage vs WSO2 Enterprise Integrator comparison

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11,157 views|9,214 comparisons
82% willing to recommend
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1,115 views|798 comparisons
75% willing to recommend
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Executive Summary

We performed a comparison between IBM InfoSphere DataStage and WSO2 Enterprise Integrator 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. WSO2 Enterprise Integrator 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
"The data lineage report can be filtered for reporting. The reports are user-friendly and take less time to find what you need.""The solution's scalability is really good...we are using multi-instance jobs where you can scale them easily.""When we have needed help from the IBM team, they were helpful. Our company is a premium partner so we get fast responses.""The ETL tools are probably the most valuable feature. It has an IBM tool, a friendly UI and it makes things more comfortable.""Once you have Infosphere up and running properly, it is stable.""The most valuable feature is the data integration for data warehousing.""Finding logs is very easy on the solution.""The product is easy to deploy."

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"Currently, I find the configuration part quite valuable, where you can easily configure things.""It's a consolidated product. It works and it does its job pretty well.""It's a very complete product. It allows us to network security and add more layers of security to the system.""The solution basically conforms to our standards.""I like the user-friendly system and development of the service-oriented architecture.""The installation process is easy.""The drag-and-drop features for connectors are very valuable.""The solution has two main parts: integration and transformation. It's very user-friendly and easy to understand for everyone."

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Cons
"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 initial setup can be complex.""What needs improvement in IBM InfoSphere DataStage is its pricing. The pricing for the solution is higher than its competitors, so a lot of the clients my company has worked with prefer other tools over IBM InfoSphere DataStage because of the high price tag. Another area for improvement in the solution stems from a lot of new types of databases, for example, databases in the cloud and big data have become available, and IBM InfoSphere DataStage is working on various connectors for different data sources, but that still isn't up-to-date, meaning that some connectors are missing for modern data sources. The latest version of IBM InfoSphere DataStage also has a complex architecture, so my team faced frequent outages and that should be improved as well.""I'd like to be able to do more with the data and metadata, including copy and pasting, et cetera.""Working with some of the big data components is good, but I can see improvements are needed.""The interface needs improvement.""The interface needs work to be more user-friendly.""The documentation and in-application help for this solution need to be improved, especially for new features."

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"I would like to see them bring back a feature, from earlier versions, that was very useful in debugging and finding issues.""The setup can be difficult for those not familiar with the solution.""You cannot include the validation of XPath.""WSO2 libraries are not mature enough. For example, if you want to integrate with Kafka using its Kafka library, it often has many bugs.""They should introduce better pricing for small companies.""The integration capabilities need to be improved.""There are a lot of security settings that when you apply you have to re-apply again every time you modify a setting. It is something that really needs to be enhanced.""The micro integrator should be improved. There is room for enhancement considering alternative integration components."

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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 →

  • "The open-source, unsupported version is available free of charge."
  • "The solution costs about 20,000 or 30,000 euros per year, per instance."
  • "The cost is better than IBM Cloud Pak."
  • "It is a low-cost solution."
  • "The pricing of WSO2 Enterprise Integrator for enterprise subscriptions can be considered expensive, especially from the perspective of someone who prefers open-source software."
  • "I rate the product price a six on a scale of one to ten, where one is low price and ten is high price."
  • More WSO2 Enterprise Integrator 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:WSO2's analytics capability is good, considering the ELC support they provide.
    Top Answer:The product has reasonable and competitive pricing for enterprise customers. It is expensive for small businesses especially. They are using the open-source solution, and they find it expensive since… more »
    Top Answer:The micro integrator should be improved. There is room for enhancement considering alternative integration components. Some workloads may benefit from optimization or additional features… 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
    19th
    out of 100 in Data Integration
    Views
    1,115
    Comparisons
    798
    Reviews
    12
    Average Words per Review
    545
    Rating
    7.8
    Comparisons
    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.

    WSO2 Enterprise Integrator, core to the WSO2 Integration Agile Platform, is an open source Integration product for cloud native and container-native projects. It enables enterprise integration experts to build, scale, and secure sophisticated integration solutions to achieve digital agility. Unlike other integration products, WSO2 Enterprise Integrator already contains integration runtimes, message brokering, business process modeling, analytics and visual tooling capabilities.

    Sample Customers
    Dubai Statistics Center, Etisalat Egypt
    West
    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 Company30%
    Comms Service Provider20%
    Manufacturing Company20%
    Financial Services Firm10%
    VISITORS READING REVIEWS
    Computer Software Company26%
    Financial Services Firm16%
    Government6%
    Comms Service Provider5%
    Company Size
    REVIEWERS
    Small Business45%
    Midsize Enterprise6%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise75%
    REVIEWERS
    Small Business47%
    Midsize Enterprise11%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise19%
    Large Enterprise58%
    Buyer's Guide
    IBM InfoSphere DataStage vs. WSO2 Enterprise Integrator
    March 2024
    Find out what your peers are saying about IBM InfoSphere DataStage vs. WSO2 Enterprise Integrator 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 WSO2 Enterprise Integrator is ranked 19th in Data Integration with 18 reviews. IBM InfoSphere DataStage is rated 7.8, while WSO2 Enterprise Integrator is rated 7.6. 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 WSO2 Enterprise Integrator writes "Consolidated, reliable, and has responsive technical support". IBM InfoSphere DataStage is most compared with SSIS, IBM Cloud Pak for Data, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas WSO2 Enterprise Integrator is most compared with Red Hat Fuse, IBM Integration Bus, Oracle Service Bus, webMethods Integration Server and Mule ESB. See our IBM InfoSphere DataStage vs. WSO2 Enterprise Integrator report.

    See our list of best Data Integration vendors.

    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.