Informatica Intelligent Data Management Cloud (IDMC) and KiSSFLOW compete in the data management and process automation category. IDMC appears to have the upper hand with its advanced data management features, while KiSSFLOW stands out in automation and ease of use.
Features: IDMC offers seamless data integration, a rich repository of data models, and multi-domain support, excelling in performance with large databases and advanced data cleansing. KiSSFLOW is noted for its flexibility in automation, ease of use, robust API integrations, and strong focus on process management.
Room for Improvement: IDMC needs improvement in integration with SAP business applications, user experience, data stewardship, and interface design. KiSSFLOW could benefit from better integration with third-party tools, customizable input fields, and enhanced user interface aesthetics.
Ease of Deployment and Customer Service: IDMC supports a wide range of deployment options including on-premises and hybrid clouds and is praised for its service despite challenges in complex setups. KiSSFLOW offers simpler deployment paths in cloud environments with generally satisfactory support, though it could improve support efficiency.
Pricing and ROI: IDMC's pricing is considered premium, suitable for enterprise-scale deployment with significant ROI potential, but it might deter small to medium enterprises. KiSSFLOW is more affordable for businesses seeking cost-effective workflow solutions, underscoring its comprehensive services in the subscription.
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.
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.
For products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point.
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.
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.
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.
IDMC is often described as the 'Ferrari of Master Data Solutions,' implying that while expensive, it is business-critical and, therefore, justified.
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.
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.
Product | Market Share (%) |
---|---|
Informatica Intelligent Data Management Cloud (IDMC) | 1.4% |
KiSSFLOW | 0.6% |
Other | 98.0% |
Company Size | Count |
---|---|
Small Business | 42 |
Midsize Enterprise | 24 |
Large Enterprise | 134 |
Company Size | Count |
---|---|
Small Business | 4 |
Midsize Enterprise | 3 |
Large Enterprise | 6 |
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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