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.
When opening a ticket with the global team, problems are resolved promptly and effectively.
The technical support from IBM is good.
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.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
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.
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.
I find it particularly good for on-premises and now cloud use.
Version 13 includes around 200 features with cloud platform compatibility.
I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
The observability concept in Informatica Intelligent Data Management Cloud (IDMC) needs improvement as the capabilities are not up to the mark compared to the industry.
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.
File operations are simple to execute, and converting between XML to JSON formats is effortless with IBM App Connect.
The features I find most valuable are message routing, message transformation, and protocol translation.
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.
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.
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) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.
IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.
What are the most important features?
What benefits and ROI should be considered?
Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.
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