IBM B2B Integrator and Informatica IDMC both compete in the field of data integration and management. Informatica IDMC seems to have the upper hand due to its AI and data governance support, though IBM B2B Integrator is highly valued for its protocol flexibility and security.
Features: IBM B2B Integrator is known for handling diverse data transmission and transformation tasks, integrating multiple communication protocols, and offering extensive customization options. Its integration capabilities and security features are highly valued. Informatica IDMC excels in seamless data integration, data quality management, and efficiently interacting with multiple systems. It also offers strong AI capabilities and robust support for data governance.
Room for Improvement: IBM B2B Integrator could improve user experience by simplifying API integration and enhancing visibility and monitoring tools. Users seek more built-in features and easier access to documentation. Informatica IDMC needs a better user interface and more comprehensive integration with external applications. Users find the interface complex and require improved analytics and reporting features.
Ease of Deployment and Customer Service: IBM B2B Integrator is preferred for on-premises and hybrid cloud environments with generally reliable support services, though delays in reaching higher-level technical support are noted. Informatica IDMC offers flexible deployment options including public and private cloud capabilities, with commendable prompt technical support, albeit with a learning curve when integrating governance tools.
Pricing and ROI: IBM B2B Integrator's pricing is high but justified by its features and reliability, demanding significant initial investments and ongoing costs. Informatica IDMC is also expensive with complex licensing, raising concerns particularly for smaller enterprises. Its comprehensive functionality may justify the expense, potentially offering significant ROI based on enterprise scale and needs.
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.
They are reachable and provide immediate answers.
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.
I would rate it as nine out of ten for Informatica PowerCenter kind of products or the Informatica integration products.
If it's properly configured and installed with the right infrastructure, it's the best product for scalability.
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.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
Compared to other applications such as MuleSoft or Boomi, they have many cloud connectors and multiple connectors for integrating with Salesforce or other CRM or ERP applications, whereas here you may have to develop them, which is not native.
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.
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.
One of my clients has a requirement; they want to integrate metadata into the process, which means, for example, if I just want to implement a new field into my database, that field needs to be reflected throughout, let's say, 200 mappings. This highlights the need for a data-driven approach.
It tends to be very expensive because the IBM license model is oriented toward paying for the power of the machine where you install the platform.
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 security features of IBM B2B Integrator are secure enough as it updates and supports all compliances, whether it is HIPAA, financial institution standards, or retail and logistics industry standards.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
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.
Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.
Product | Market Share (%) |
---|---|
Informatica Intelligent Data Management Cloud (IDMC) | 4.2% |
IBM B2B Integrator | 7.0% |
Other | 88.8% |
Company Size | Count |
---|---|
Small Business | 9 |
Midsize Enterprise | 8 |
Large Enterprise | 32 |
Company Size | Count |
---|---|
Small Business | 42 |
Midsize Enterprise | 24 |
Large Enterprise | 134 |
IBM B2B Integrator helps you securely integrate complex B2B processes with your partner communities. It provides a single, flexible B2B gateway that enables your organization to meet a wide range of B2B integration needs. The solution can improve business processes beyond enterprise boundaries and increase visibility into and across supply and demand chains.
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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