IBM InfoSphere DataStage vs Mule Anypoint Platform comparison

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10,952 views|9,105 comparisons
82% willing to recommend
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5,111 views|3,047 comparisons
93% willing to recommend
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Executive Summary

We performed a comparison between IBM InfoSphere DataStage and Mule Anypoint Platform based on real PeerSpot user reviews.

Find out in this report how the two Cloud 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. Mule Anypoint Platform Report (Updated: March 2024).
772,127 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
"I am impressed with the tool's ETL tracing.""The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms""The solution is very easy to use.""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.""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.""It is quite useful and powerful.""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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"The product is very user-friendly.""The flexibility has been great overall.""Customers can make use of Runtime Fabric, an RTF environment.""MuleSoft Anypoint Platform's most valuable features are its observability and stability.""The platform's cloud integration capabilities are good.""It can scale.""Mule Anypoint Platform's valuable features are its flexibility in terms of deployment and its SaaS capabilities.""The tool's visual features are attractive."

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Cons
"The solution should be more user-friendly.""The initial setup could be more straightforward.""In the future, I would like to see more integration with cloud 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.""The initial setup can be complex.""In terms of intermediate storage, we have some challenges, especially with customers who store data in intermediate locations.""The template mapping could be easier.""Their web interface is good but the on-prem sites are outdated. The solution could also be improved if they could integrate the data pipeline scheduling part of their interface."

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"This becomes an expensive solution over time.""Mule should have better B2B integration.""The solution is very expensive. They need to work on the pricing.""The solution's pricing model is very strange, and it will be really expensive if you use APIs a lot.""Its documentation needed a little bit of work to make it more usable. It is a platform that is used mainly by developers and other people for connecting systems. Its documentation was confusing in some areas and was not very helpful in other areas. I had to go to a consultant to get some work done, which ideally shouldn't be required.""The initial setup should be made easy and the documentation should have some guidance.""In order to set up a storefront, we currently rely on a third-party solution. It would greatly enhance our operations if this feature was integrated into their existing solution.""Technical support needs to be improved, especially when you need help with more technical aspects of the solution."

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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 →

  • "Licensing can be complex as is the case with most iPaaS/cloud offerings."
  • "Mule is not the cheapest integration platform out there, but it deserves the price we are paying."
  • "The product comes complete at one set price including support."
  • "The licensing is core-based. My customers tell me that it's very expensive compared to the cost of other integration suites."
  • "Mule Anypoint Platform pricing is slightly higher compared to Dell Boomi."
  • "The solution is the priciest in the market which is an issue for some clients."
  • "The pricing of our solution is highly competitive. While it may not be categorized as exceptionally low, it is certainly more affordable compared to IBM."
  • "The product is still very expensive."
  • More Mule Anypoint 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:I architected solutions using Oracle SOA/OSB, Spring Boot, MuleSoft Anypoint Platform on cloud / on-premises and hybrid modes What I see is though if you are an enterprise and have enough money then… more »
    Top Answer:Our organization ran comparison tests to determine whether TIBCO BusinessWorks or Mule Anypoint platform integration and connectivity software was the better fit for us. We decided to go with Mule… more »
    Top Answer: This is a very flexible solution that comes with multiple uses. My organization mostly uses Mule Anypoint Platform for API management, as it lets us build new APIs easily and design new interfaces… 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
    3rd
    Views
    5,111
    Comparisons
    3,047
    Reviews
    20
    Average Words per Review
    567
    Rating
    8.5
    Comparisons
    Also Known As
    Data Integrator
    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.

    Mule Anypoint Platform is a high-ranking solution that creates a communication layer between disparate systems to eliminate integration problems. The product retrieves and stores data streams from any source type, device, or application, both in the cloud and locally. Mule Anypoint Platform solves the most challenging connectivity problems across Software as a Service (SaaS), service-oriented architecture (SOA), and application programming interfaces (APIs) through connectivity, control, and composability. The unified hybrid integration platform achieves this by creating an application network of data, apps, and devices with API-led connectivity.

    The solution consists of a set of out-of-the-box connectors that work on any type of system and offers a configuration with low coding effort while minimizing the cost and constraints of hard point-to-point connections. The use cases of Mule Anypoint Platform include:

    • Utilizing APIs for application delivery: Specialists can use Mule Anypoint Platform to jumpstart application development and take advantage of pre-built assets or utilize APIs built anywhere using their CI/CD pipelines. Companies can build APIs from scratch in diverse protocols and test them with built-in support for Maven and Jenkins.

    • Flexible deployment: Mule Anypoint Platform can be used in any architecture or environment. The product offers its users flexibility and freedom to select between using MuleSoft's fully managed infrastructure or deployment in popular cloud providers like Amazon AWS, Microsoft Azure, and Google Cloud Platform.

    • Data protection: The product offers high levels of security and compliance with various standards and policies. It can be utilized by companies for protecting data, microservices, APIs, and integrations without development overheads.

    • API and service management and monitoring: The product offers an all-in-one platform for users to manage, secure, and scale their APIs as well as troubleshoot and diagnose in real time to detect underlying issues.

    • Custom marketplace building: Mule Anypoint Platform can be used to facilitate the creation of custom marketplaces for customers, partners, and employees. The product offers pre-built APIs, templates, connectors, accelerators, and other integrations for this purpose.

    Mule Anypoint Platform Features

    Mule Anypoint Platform consists of features for APIs and integrations that are separated into three categories: API management, integration, and deployment and monitoring. These features include:

    • Anypoint Flex Gateway: This feature is designed to manage and secure APIs running across any environment.

    • Anypoint API Governance: This feature ensures consistent API security and quality with self-service tools.

    • Anypoint API Designer: API Designer offers a visual or code-based guided process for designing, documenting, and testing APIs in any language.

    • Anypoint Studio: Through this feature, users can accelerate implementation with prebuilt modules for common integration requirements.

    • Anypoint Connectors: This capacity of the solution allows system integration using a web interface or a desktop-integrated development environment (IDE).

    • Anypoint Code Builder: This is a new feature of the product that is made for developers to design, develop, and deploy APIs, integrations, and automations from a single environment, utilizing an innovative IDE.

    • Anypoint Monitoring: Through this feature, users can monitor in real time their integrations, APIs, and microservices all in one place.

    • Anypoint Runtime Fabric: This is a container service that brings cloud benefits to on-premises deployments both in data centers and on a private cloud.

    • CloudHub: This is the Platform as a Service (PaaS) component of Mule Anypoint Platform.

    • Anypoint Security: This feature offers advanced defense for users' APIs and integrations.

    Mule Anypoint Platform Benefits

    Mule Anypoint Platform offers multiple benefits for companies that utilize its services. Some of the biggest advantages of the product include:

    • Mule Anypoint Platform reduces development time to deliver efficient resource management from a single platform.

    • The product improves agility with innovative architecture that adheres to customers' specific needs.

    • The solution utilizes open technologies that provide customers with reusability, modularity, and collaboration opportunities.

    • Mule Anypoint Platform comes with automated security and governance that ensures customers' data is protected at enterprise levels.

    • The product has built-in reliability, visibility, and scalability, which make operations more resilient for users.

    • The solution is constantly updated and ensures a competitive environment for users through flexible services.

    Reviews from Real Users

    Michael S., a senior enterprise architect at a tech services company, gives Mule Anypoint Platform a high rating and states that the product is constantly improving to help connect applications, data, and devices.

    A senior technical architect at a tech services company likes Mule Anypoint Platform for the good stability with an easy setup and good technical support that the product provides.

    Sample Customers
    Dubai Statistics Center, Etisalat Egypt
    VMware, Gucci, MasterCard, Target, Time Inc, Hershey's, Tesla, Spotify, Office Depot, Intuit, CBS, Amtrak, Salesforce, Gap, Ralph Lauren
    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
    Computer Software Company32%
    Healthcare Company11%
    Recruiting/Hr Firm11%
    Comms Service Provider5%
    VISITORS READING REVIEWS
    Educational Organization22%
    Computer Software Company14%
    Financial Services Firm8%
    Manufacturing Company8%
    Company Size
    REVIEWERS
    Small Business45%
    Midsize Enterprise6%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise74%
    REVIEWERS
    Small Business33%
    Midsize Enterprise20%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise29%
    Large Enterprise57%
    Buyer's Guide
    IBM InfoSphere DataStage vs. Mule Anypoint Platform
    March 2024
    Find out what your peers are saying about IBM InfoSphere DataStage vs. Mule Anypoint Platform and other solutions. Updated: March 2024.
    772,127 professionals have used our research since 2012.

    IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while Mule Anypoint Platform is ranked 3rd in Cloud Data Integration with 41 reviews. IBM InfoSphere DataStage is rated 7.8, while Mule Anypoint Platform is rated 8.2. 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 Mule Anypoint Platform writes "Robust, reliable, and stable, ensuring high availability for critical integrations". IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas Mule Anypoint Platform is most compared with MuleSoft Composer, Microsoft Azure Logic Apps, Oracle Integration Cloud Service, SAP Process Orchestration and SAP Cloud Platform. See our IBM InfoSphere DataStage vs. Mule Anypoint Platform report.

    See our list of best Cloud Data Integration vendors.

    We monitor all Cloud 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.