IBM InfoSphere DataStage vs Mule Anypoint Platform comparison

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11,157 views|9,214 comparisons
82% willing to recommend
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5,228 views|3,103 comparisons
93% willing to recommend
Comparison Buyer's Guide
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).
768,740 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 solution is stable.""Once you have Infosphere up and running properly, it is stable.""The most valuable feature for our data processing needs is IBM InfoSphere DataStage's capability to handle ETL tasks with large record volumes.""We can view what we want to do. We can transform data and put them on tables.""We like the flexibility of modeling.""The ETL tools are probably the most valuable feature. It has an IBM tool, a friendly UI and it makes things more comfortable.""The most valuable feature is the product's versatility to inject data.""The Hierarchical Data Stage is good."

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"I have found several things most valuable, including its very quick implementation that you can use a lot of out of the box templates, and lastly that it is a very mature product, especially in hybrid integration.""It has improved our organization a lot because of the increase in productivity, and it has simplified the development of products. MuleSoft Anypoint Platform is a highly effective tool where you can build integrations so effectively. If you establish the integration platform, it increases productivity. It helps us to do effective re-authentication, and it speeds the integration.""The most valuable features of the Mule Anypoint Platform are the Flex Gateway, API management, easy-to-use, and connectors. Additionally, they are coming out with improvements to the solution when required.""MuleSoft offers with the Anypoint Platform a unified platform for API management and an integration Platform as a Service (iPaaS) as well as an on-premise Enterprise Service Bus pattern.""It's easy to develop APIs.""The flexibility has been great overall.""The most valuable features for us are flexibility, all the features related to connectivity with multiple connectors to the business, and the flexibility of on-premises and cloud deployments.""The tool is very capable and offers a high performance. The tool supports batch processing and ETL processing."

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Cons
"I want the tool to continue with the on-prem version, not the cloud one.""Currently lacking virtualization ability.""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.""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 initial setup can be complex.""DataStage is quite expensive. It is too hard to find a consultant using DataStage in Turkey.""The documentation and in-application help for this solution need to be improved, especially for new features.""I'd like to be able to do more with the data and metadata, including copy and pasting, et cetera."

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"It has different types of subscriptions. For platinum or lower subscriptions, there are not too many things that can be done. We don't see many features. They should release a basic version that has logging and monitoring features. These features should come with Mule Anypoint Platform for free instead of making customers pay separately for these features. Its dashboard can be improved to have a lot of charts so that it is easy to visualize information. The utilization part can be improved. The dashboard is good currently, but it can be better. Other solutions like Elastic have a good dashboard, and they allow you to administer the product from the UI. Currently, for RTF, there is a different dashboard or utility. It would be good to include the same utility in the cloud solution. It would be good if there is a centralized repository that includes the links to the information about various troubleshooting issues. The documentation is there currently, and it is good, but the troubleshooting information is too scattered. We have to go to different links to find troubleshooting information. This kind of centralized repository would be helpful for new customers who are implementing this solution. It will be helpful to see different kinds of issues that can occur.""The compatibility with vendors can be improved. Microsoft Azure heavily uses single software.""The runtime management and connectors could use some work and are vulnerable to breakage after upgrades.""MuleSoft's release calendar is rather conventional with two major, two minor releases and hotfixes in between. The competition sometimes offer more rapid release cycles and provides improved and new functionality with a faster time-to-market.""The terms of use and how it's priced has become very difficult to manage, which is forcing us to look for alternatives already - and we haven't even been using it for that long just yet.""Mule Anypoint Platform could improve by having more up-to-date adapters to do work in a digital space.""The solution's licensing methodologies could be improved.""It doesn't work well when you try using it for the processing layer."

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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 100 in Data Integration
    Views
    11,157
    Comparisons
    9,214
    Reviews
    15
    Average Words per Review
    452
    Rating
    7.9
    3rd
    Views
    5,228
    Comparisons
    3,103
    Reviews
    21
    Average Words per Review
    547
    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 Company33%
    Healthcare Company11%
    Recruiting/Hr Firm11%
    Comms Service Provider6%
    VISITORS READING REVIEWS
    Educational Organization21%
    Computer Software Company14%
    Financial Services Firm9%
    Manufacturing Company8%
    Company Size
    REVIEWERS
    Small Business45%
    Midsize Enterprise6%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise75%
    REVIEWERS
    Small Business30%
    Midsize Enterprise21%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise28%
    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.
    768,740 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 40 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 SSIS, IBM Cloud Pak for Data, 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.