Boomi AtomSphere Integration vs IBM InfoSphere DataStage comparison

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2,246 views|1,564 comparisons
84% willing to recommend
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11,157 views|9,214 comparisons
82% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Boomi AtomSphere Integration and IBM InfoSphere DataStage based on real PeerSpot user reviews.

Find out in this report how the two Integration Platform as a Service (iPaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Boomi AtomSphere Integration vs. IBM InfoSphere DataStage Report (Updated: May 2023).
768,857 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
"It is a low-code and high-configuration platform, which is very valuable. Develop once and run anywhere is another useful feature. It also has connectors for more than 200 applications. It provides value for money. Our customers who have implemented this solution have a very high ROI.""It is easy to learn and implement.""Low-code development is the most valuable feature.""Boomi AtomSphere Integration is stable.""The Salesforce and NetSuite Application specific “connectors” provide a layer of abstraction on top of the SOAP-based APIs to streamline integration development.""The best features are that it is a cloud-based and a multi-tenant tool.""This is a fairly easy-to-use tool for integration which can be self-taught for those with a bit of a technical background.""Very effective with its drag-and-drop feature."

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"It works with multiple servers and offers high availability.""The solution is very easy to use.""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.""The solution is stable.""We are mostly using transmission rules. It has a lot of functions and logic related to transmission. It is a user-friendly tool with in-built functions.""The data lineage report can be filtered for reporting. The reports are user-friendly and take less time to find what you need.""DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too."

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Cons
"Boomi AtomSphere Integration is not yet exposed to the world as a good product owing to certain shortcomings in the area of marketing where improvements are required.""The product's UI could be more convenient.""The product could be a little bit more user-friendly.""They need to introduce more configurable functions to remove scripting or coding. Scripting should be minimized. It should have exhaustive functions. Currently, it lacks in this aspect.""They should create a custom connector option. With this, they could improve where the user can create the connector, based on their usage.""It crashes if we run high-volume integration.""In my experience, I haven't encountered any major issues with the tool. However, there could be a learning curve for new users, especially depending on which tool you're using. For example, I've used MuleSoft in the past, which is more code-oriented and requires knowledge of Java. Transitioning to Boomi AtomSphere Integration took me a couple of months because of differences in terminology.""It is a costly platform. Its pricing could be better."

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"The template mapping could be easier.""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.""Its documentation is not up to the mark. While building APIs, we had a lot of problems trying to get around it because it is not very user-friendly. We tried to get hold of API documentation, but the documentation is not very well thought out. It should be more structured and elaborate. In terms of additional features, I would like to see good reporting on performance and performance-tuning recommendations that can be based on AI. I would also like to see better data profiling information being reported on InfoSphere.""It would be useful to provide support for Python, AR, and Java.""I want the tool to continue with the on-prem version, not the cloud one.""So, there are some features that are missing. If I compare DataStage to Talend, Talend allows you to write custom code in Java or use these tools in your applications as well if you are building a job application. But in DataStage, it does not allow you to write custom code for any component.""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.""There could be more customization options for the product."

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Pricing and Cost Advice
  • "The Platinum package is good for licensing, but I’m not sure about the cost and improvements."
  • "They do not charge by the number of people using the software (client-server model), but rather they charge based on the number of connections used. This makes it very cost effective."
  • "The licensing model of Dell Boomi is based on a ‘pay-per-use’ model."
  • "This solution is very economical (based on the connections)."
  • "The pricing is a bit complex. While the entry fee may be lower than other solutions, it could be expensive depending on your usage."
  • "When it comes to pricing, it's not so much about being less expensive as it is about how they don't tie to the hardware on the underlined VMware that you run on, as other vendors do"
  • "The cost of the solution is in the neighborhood of $20,000 annually. There are no costs above the standard licensing fee."
  • "Approximately 20k annually."
  • More Boomi AtomSphere Integration 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 →

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    Questions from the Community
    Top Answer:I have worked as an Integration Architect/Developer for many years and have used Mulesoft, Boomi, Informatica, Workato, Celigo, SSIS and many other integration tools.  The tool you would pick depends… more »
    Top Answer:The tool's most valuable features I've found are related to debugging and testing. It makes it easy to track execution, documents, and process history. This functionality is particularly useful for… more »
    Top Answer:Boomi AtomSphere Integration is a relatively cheap and cost-effective product compared to other products like SAP or Oracle. I don't know the exact price of the product.
    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 »
    Ranking
    Views
    2,246
    Comparisons
    1,564
    Reviews
    10
    Average Words per Review
    394
    Rating
    7.4
    7th
    out of 100 in Data Integration
    Views
    11,157
    Comparisons
    9,214
    Reviews
    15
    Average Words per Review
    452
    Rating
    7.9
    Comparisons
    Also Known As
    Boomi
    Learn More
    Overview

    The Boomi AtomSphere integration platform as a service (iPaaS) supports all your application integration processes – between cloud platforms, software-as-a-service applications, and on-premises systems. Your entire team has online access to a powerful range of integration and data management capabilities, that can be realized in a fraction of the time of legacy middleware technologies.

    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.

    Sample Customers
    DocuSign Inc., Innotas, Certent, Renesas Electronics America (REA), Kelly-Moore Paints, Mindjet, City of McKinney, Ritchie Bros. Auctioneers (RBA), Daylight Transport, A10 Networks
    Dubai Statistics Center, Etisalat Egypt
    Top Industries
    REVIEWERS
    Computer Software Company15%
    Outsourcing Company8%
    Retailer8%
    Recruiting/Hr Firm8%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm8%
    Manufacturing Company8%
    Retailer6%
    REVIEWERS
    Computer Software Company50%
    Insurance Company14%
    Transportation Company7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Manufacturing Company11%
    Computer Software Company10%
    Insurance Company7%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise13%
    Large Enterprise54%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise15%
    Large Enterprise63%
    REVIEWERS
    Small Business45%
    Midsize Enterprise6%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise75%
    Buyer's Guide
    Boomi AtomSphere Integration vs. IBM InfoSphere DataStage
    May 2023
    Find out what your peers are saying about Boomi AtomSphere Integration vs. IBM InfoSphere DataStage and other solutions. Updated: May 2023.
    768,857 professionals have used our research since 2012.

    Boomi AtomSphere Integration is ranked 5th in Integration Platform as a Service (iPaaS) with 25 reviews while IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews. Boomi AtomSphere Integration is rated 7.8, while IBM InfoSphere DataStage is rated 7.8. The top reviewer of Boomi AtomSphere Integration writes "Stable product, suitable for limited integrations and lacks flexibility ". On the other hand, 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". Boomi AtomSphere Integration is most compared with Microsoft Azure Logic Apps, webMethods Integration Server, Oracle Integration Cloud Service, SSIS and Azure Data Factory, whereas IBM InfoSphere DataStage is most compared with SSIS, IBM Cloud Pak for Data, Azure Data Factory, Talend Open Studio and Informatica PowerCenter. See our Boomi AtomSphere Integration vs. IBM InfoSphere DataStage report.

    We monitor all Integration Platform as a Service (iPaaS) 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.