Informatica IDMC and IBM App Connect compete in the data management and integration category. Based on features, customization, and integration capabilities, Informatica IDMC has a slight edge due to its comprehensive data management approach.
Features: Informatica IDMC integrates MDM, data quality, and data integration seamlessly. Its flexible architecture supports various MDM styles, and it excels in data cleansing and address validation. Users benefit from performance boosts even as data volumes grow. IBM App Connect offers extensive integration capabilities with numerous connectors and supports high scalability and security, providing efficient application and data source integration.
Room for Improvement: IDMC's UI needs attention, especially in data stewardship and intuitiveness. There's a need for more preconfigured business rules and better release documentation. IBM App Connect requires a more user-friendly interface and improved error handling. Both solutions face criticism over slow UI responsiveness and connector limitations, with IBM's alignment with evolving cloud environments seen as less flexible.
Ease of Deployment and Customer Service: IDMC supports on-premises, hybrid, and public cloud deployments, catering to diverse IT environments. Customers report excellent, albeit inconsistent, customer service. IBM App Connect also offers wide deployment options and strong technical support, yet some users seek better support channels for seamless on-premises integrations.
Pricing and ROI: IDMC is perceived as a premium, expensive solution offering significant long-term value for large enterprises. It provides flexible licensing, including perpetual licenses and subscriptions. IBM App Connect is also viewed as costly, with a yearly licensing fee, though it offers savings in human effort. Both are seen as worthwhile investments for enterprises with robust data strategies.
We see return on investment from this solution in terms of time; time reduction or cost benefits is what we are getting very good results from.
When opening a ticket with the global team, problems are resolved promptly and effectively.
The technical support from IBM is good.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
The response time is pretty good because we have someone in-house, who is an expert from Informatica, in our team who can help us with any sort of queries usually.
If they are unsure how to resolve an issue, they keep customers informed, providing updates about progress and ensuring communication with the product team to deliver accurate responses.
IBM App Connect demonstrates good scalability.
I would rate the scalability of IBM App Connect as nine out of ten.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
I find Informatica Intelligent Data Management Cloud (IDMC) to be a sustainable and scalable solution.
Some companies require multiple configurations, including ODBC connections, JDBC connections, different BI databases, main databases, and replication servers.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
Version 13 includes around 200 features with cloud platform compatibility.
I find it particularly good for on-premises and now cloud use.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
For insurance companies with simple JDBC connections, the process is straightforward.
It ranges from a quarter million to a couple of million a year.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
I think the costs are reasonable for the kinds of features that Informatica Intelligent Data Management Cloud (IDMC) has.
The transformation capabilities in IBM App Connect are particularly beneficial.
The features I find most valuable are message routing, message transformation, and protocol translation.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.
In on-premise, we call it EDC for metadata management, while in cloud-based technologies, it is known as the Metadata Command Center, which serves the same purpose as EDC concerning CDGC.
Product | Market Share (%) |
---|---|
Informatica Intelligent Data Management Cloud (IDMC) | 5.6% |
IBM App Connect | 4.8% |
Other | 89.6% |
Company Size | Count |
---|---|
Small Business | 4 |
Midsize Enterprise | 4 |
Large Enterprise | 19 |
Company Size | Count |
---|---|
Small Business | 42 |
Midsize Enterprise | 24 |
Large Enterprise | 134 |
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 Intelligent Data Management Cloud (IDMC) integrates data quality, governance, and integration with flexible architecture. It supports multiple domains and a data models repository, delivering AI-enhanced data management across cloud-native platforms.
IDMC provides seamless integration and governance capabilities that support diverse data environments. Its comprehensive suite includes customizable workflows, data profiling, and metadata management. AI features, a data marketplace, and performance scalability enhance data management. While its interface poses challenges, its robust matching and cloud-native integration facilities are essential for complex data ecosystems. Users employ IDMC for connecting systems, ensuring data quality, and supporting data compliance but seek better pre-built rules, services, and improved connectivity, especially with platforms like Salesforce. Licensing, cost, and added AI functionalities are areas for potential refinement.
What are the key features of IDMC?IDMC is implemented across industries for data integration, metadata management, and governance. Organizations use it to connect systems, migrate data to cloud environments, and maintain data quality. They manage master data and automate business processes, facilitating data lineage and ensuring compliance with privacy regulations.
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