IBM App Connect vs Informatica Cloud Data Integration comparison

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1,760 views|944 comparisons
100% willing to recommend
Informatica Logo
3,563 views|2,909 comparisons
88% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM App Connect and Informatica Cloud Data Integration 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 App Connect vs. Informatica Cloud Data Integration Report (Updated: March 2024).
767,847 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's a powerful application for collaboration. It has many features for customization and integration.""It has different type of interfaces that can integrate with companies.""Provides good security features.""The most valuable feature is the user-friendliness of the application.""The solution is fast and supports Open UI 3.0 certification.""The most valuable feature is the security.""Very scalable, flexible, and user-friendly.""We use IBM App Connect for the integration between the applications."

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"The product is scalable and excellent for enterprise-level organizations.""Informatica is good for integrating data and cloud applications. We have connectors for integrating cloud applications like Salesforce. You can quickly integrate anything with an exposed API or a REST API. The industry is increasingly shifting to the cloud, so we need more products that can connect to cloud-based applications. The integration is seamless and works in real time. It's also secure because you don't need to expose databases or tables.""The most valuable feature is the building of mockups and tasks.""The support is very good.""I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful.""The solution is straightforward.""The Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations.""It is quite easy to use and flexible."

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Cons
"IBM App Connect is scalable. From the administration side, they need to improve the RBAC model, as well as the clustering of this product. It will be good if we can start up the cluster, via IBM Connect Console. Some other products like MuleSoft, are providing this type of administration. MuleSoft is easy to use and user friendly.""The addition of string functionality would be a benefit, particularly in the ESQL space that IBM already uses internally.""IBM App Connect should improve security features.""Updates are constantly delayed.""More connectors could be available for the product as some of the third-party software doesn't have default connectors.""IBM needs to enhance and have a stronger offering for the event streaming part because this is the future needed for the containerization and the new integration requirement.""It is not easy to deploy. It requires someone with a high level of knowledge in the solution to deploy it, not just anyone can do it.""In the next release, I would like to get some quality connectors."

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"There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another.""It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality.""The vendor should have more training resources: online classes, free tutorial videos, etc.""The cloud version could be better in terms of pricing.""Its features for partitioning and optimization could be better.""Certain shortcomings in the product's UI make it an area where improvements are required.""The current features are a bit complicated, and we need to write big scripts and test.""The regions in which the data resides are still limited. This could be an issue in terms of the data residency laws of some of the countries. They should get more regions."

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Pricing and Cost Advice
  • "It is very expensive if we want to scale."
  • "The price could be better."
  • "The licensing cost for IBM App Connect is very high."
  • "The cost depends upon the consumer."
  • "Initially, App Connect was quite expensive because the cost was based on the number of processors we used. However, it's now based on containers, which means we can be more specific about our consumption and get a better price."
  • "The solution's pricing isn't cheap, but you can get good discounts based on your competitive deal."
  • More IBM App Connect Pricing and Cost Advice →

  • "It is cost effective and an easily accessible tool."
  • "The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
  • "Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
  • "My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
  • "Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
  • "Its pricing model can be improved."
  • "I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."
  • "The price of Informatica Cloud Data Integration could be reduced."
  • More Informatica Cloud Data Integration Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The solution's pricing isn't cheap, but you can get good discounts based on your competitive deal.
    Top Answer:We use the product mainly for the integration of enterprise applications.
    Top Answer:Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power… more »
    Top Answer:Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge… more »
    Top Answer:When it comes to cloud data integration, this solution can provide you with multiple benefits, including Overhead reduction by integrating data on any cloud in various ways Effective integration of… more »
    Ranking
    11th
    Views
    1,760
    Comparisons
    944
    Reviews
    13
    Average Words per Review
    437
    Rating
    8.3
    5th
    Views
    3,563
    Comparisons
    2,909
    Reviews
    17
    Average Words per Review
    467
    Rating
    7.8
    Comparisons
    Also Known As
    IBM Cast Iron
    Learn More
    Overview

    Rapidly connect public clouds, private clouds and on-premises application

    App Connect Professional is IBM’s cloud integration offering which delivers an integration solution
    • With ease-of-use, flexibility and increased responsiveness to the evolving business needs, while removing the daunting complexities of integration.
    • Provides the powerful combination of a ‘simple integration experience’ for business users looking to automate how their applications talk to each other; coupled with a ‘configuration based integration’ approach for IT.
    • App Connect Professional is for the teams and integration developers who need to solve more complex problems and need powerful tooling for integration scenarios

    Informatica Cloud Data Integration is a cloud-native cloud data integration solution that enables users to connect a large number of applications and data sources across on-premises and integrate the data sources at scale on the cloud. The product is built on microservices-driven management and integration platform as a service (iPaaS) and assists organizations to govern costs, increase productivity and collaboration, and simplify their experience. Informatica Cloud Data Integration allows companies to deliver data and analytics to lines of business in a timely manner, build data warehouses on Amazon Redshift, Google Cloud BigQuery, Snowflake, and Microsoft Azure Synapse Analytics, and utilize the required data integration patterns, including elastic processing, extract, load, and transform (ELT), and extract, transform, and load (ETL).

    The solution allows users to to build enterprise-scale integration workloads within hours while it improves the productivity of development teams by providing them a codeless, drag-and-drop user interface. Companies can benefit from integration features built for data warehousing and optimized connectors for bulk loads of billions of records. Informatica Cloud Data Integration offers organizations the option of going serverless at scale by allowing them to process data integration jobs from cloud-hosted as well as managed environments. The Spark-based engine allows the solution to handle high-volume data demands and complex data integration tasks.

    Informatica Cloud Data Integration Features

    Informatica Cloud Data Integration provides its users with various features and tools. Among the key capacities of the product are:

    • Advanced Pushdown Optimization: Informatica Cloud Data Integration offers a feature that provides users with the benefits of ELT while maintaining their data flow definitions at a logical or abstract level. This feature allows users to choose a runtime option that complies with the workload as well as send their data processing work to cloud ecosystem pushdown, cloud data warehouse pushdown, Spark serverless processing, or traditional ETL.

    • Connectors for all major data sources: This feature provides out-of-the-box connectivity to a large number of cloud and on-premise systems, data stores, analytics and BI tools, and enterprise and middleware applications.

    • Data transformation capabilities: This feature allows users to process data transformation in real time or batch by using a variety of transformation types, such as cleansing, masking, aggregation, fileting, parsing, and ranking.

    • Spark-based complex data integration: Informatica Cloud Data Integration Elastic allows specialists to use elastic clusters to process their data transformation.

    • Codeless integration: This feature facilitates the creation of simple-to-sophisticated data integration projects with a visual mapping designer that speeds up pre-build transformations for development through a variety of endpoints across cloud and on-premises.

    • Serverless data integration: Users can achieve cloud data integration in a mode called Advanced Serverless, where they can benefit from a fully managed environment with no software, no cloud administration, and no servers or clusters to manage.

    • Taskflow orchestration: This feature allows users to combine batch and real-time integration through a taskflow designer in order to create simple-to-sophisticated orchestrations.

    • Intelligent structure discovery: This feature uses the CLAIRE engine to automatically understand the parsing model for complicated files based on their structure.

    • Change data capture: Utilizing the prebuilt task wizards and Change Data Capture tool, users can automatically pull only the updated or incremental data from source systems to the targets on a frequent basis.

    • Security: The product offers various features which ensure the highest level of data and workload security and comply with various policies.

    Informatica Cloud Data Integration Benefits

    Informatica Cloud Data Integration brings multiple benefits to its users. These include:

    • The product offers optimized connectivity to various systems through custom build-connectors.

    • Users can benefit from improved elasticity and performance by utilizing Spark clusters and auto-tuning.

    • The tool allows developers to focus on business logic by facilitating infrastructure management through serverless deployment features.

    • Informatica Data Cloud Integration provides user flexibility by connecting to any database, cloud data lake, on-premise apps, and data warehouses.

    • Through a zero-coding environment and role-appropriate user experience, the solution is suitable for all types of users.

    • The solution offers consistent experience and unified metadata across all cloud services.

    • Users can leverage enterprise-level performance for integration design with no coding required.

    • Informatica Data Cloud Integration scales as a business grows, providing a high level of adaptability.

    Reviews from Real Users

    Divya R., a senior consultant at Deloitte, rates Informatica Cloud Data Integration highly because it is a UI-based tool with great scripting.

    A data architect at a retailer likes Informatica Cloud Data Integration because of its flexible licensing, good connectors, and timely upgrades and patches.

    Sample Customers
    United Way of Allegheny County, Saint-Gobain CPS, Ricoh, SunTrust Banks Inc.
    Chicago Cubs, Telegraph Media Group
    Top Industries
    REVIEWERS
    Financial Services Firm38%
    Computer Software Company23%
    Manufacturing Company15%
    Comms Service Provider8%
    VISITORS READING REVIEWS
    Educational Organization55%
    Computer Software Company9%
    Financial Services Firm6%
    Energy/Utilities Company3%
    REVIEWERS
    Computer Software Company37%
    Pharma/Biotech Company21%
    Manufacturing Company11%
    Individual & Family Service5%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company14%
    Manufacturing Company9%
    Insurance Company8%
    Company Size
    REVIEWERS
    Small Business13%
    Midsize Enterprise17%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business9%
    Midsize Enterprise60%
    Large Enterprise30%
    REVIEWERS
    Small Business21%
    Midsize Enterprise21%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    Buyer's Guide
    IBM App Connect vs. Informatica Cloud Data Integration
    March 2024
    Find out what your peers are saying about IBM App Connect vs. Informatica Cloud Data Integration and other solutions. Updated: March 2024.
    767,847 professionals have used our research since 2012.

    IBM App Connect is ranked 11th in Cloud Data Integration with 20 reviews while Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews. IBM App Connect is rated 8.2, while Informatica Cloud Data Integration is rated 7.8. The top reviewer of IBM App Connect writes "Very flexible and user-friendly; embeds with other technologies; no dependency on queue manager". On the other hand, the top reviewer of Informatica Cloud Data Integration writes "A stable, scalable, and user-friendly solution". IBM App Connect is most compared with IBM Cloud Pak for Integration, Mule Anypoint Platform, webMethods Integration Server, IBM InfoSphere DataStage and Oracle Integration Cloud Service, whereas Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Azure Data Factory, AWS Glue, Fivetran and Mule Anypoint Platform. See our IBM App Connect vs. Informatica Cloud Data Integration 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.