

Informatica Intelligent Data Management Cloud and KiSSFLOW compete in the data management and workflow automation category. IDMC has the upper hand due to its robust data management capabilities and enterprise scalability.
Features: IDMC offers seamless integration with various systems, advanced data cleansing, and robust data lineage capabilities. Its data discovery features and enterprise scalability are highly appreciated. KiSSFLOW excels in providing flexible and customizable automated workflows, appealing to users adapting multiple applications like Google Drive. It stands out for its ease of use and intuitive process design.
Room for Improvement:IDMC users point out the need for simpler user interfaces and improved integration with legacy systems. It also faces challenges with configuration complexity and version migration costs. KiSSFLOW could improve its real-time document synchronization and customization options in its user interface.
Ease of Deployment and Customer Service:IDMC offers flexibility with on-premises, private, and public cloud deployment options but faces criticism for delayed support responses on non-priority issues. KiSSFLOW provides easy deployment primarily on private and public cloud, but users seek faster support response to queries.
Pricing and ROI:IDMC is considered expensive, linked to data volume and user licensing, making it ideal for large enterprises needing extensive data management. It offers a pay-as-you-go model which might be cost-prohibitive for some. KiSSFLOW is more affordable with straightforward subscription models, making it attractive for smaller businesses. Both products deliver ROI, with IDMC providing time and efficiency benefits and KiSSFLOW enhancing rapid process execution.
Leadership prefers to utilize third-party tools, such as Snowflake, which has both storage and ELT features.
The stability and performance remain issues.
Compared to Collibra Catalog, where the value is noticeable within six months.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
Even after going out of service support, they still reached back to me whenever I raised tickets.
We expect more responsive assistance because they have the expertise since Informatica is their tool, but I don't see enough expertise on the Informatica support side.
I have used the product over multiple systems and was able to write reports for large data sets without any performance issues.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
There are many options available, and the licensing model is quite good, supporting our needs effectively.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
There are substantial stability issues with Informatica Cloud Data Quality on the cloud.
I find the stability to be good, with occasional restarts required every two to three months due to glitches.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
The current solution requires code-writing and tweaking, while other solutions offer material-level matches.
If the development interface could be optimized to have fewer modules, it would be greatly beneficial.
It ranges from a quarter million to a couple of million a year.
Informatica Intelligent Cloud Services is affordable for my specific use cases, with the pricing being rated three or four on a scale where one is very cheap.
Regarding pricing, compared to other tools I have worked with, Informatica offers competitive pricing, which I find not high in terms of starting strategy.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
The connectors serve as the main functionality, making data integration processes more efficient by saving time and effort.
We could run data quality rules as part of Service Bus, which ensured the integrity of customer information before it was entered into our database.
| Product | Mindshare (%) |
|---|---|
| Informatica Intelligent Data Management Cloud (IDMC) | 1.5% |
| KiSSFLOW | 1.0% |
| Other | 97.5% |


| Company Size | Count |
|---|---|
| Small Business | 51 |
| Midsize Enterprise | 27 |
| Large Enterprise | 153 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 3 |
| Large Enterprise | 6 |
Informatica Intelligent Data Management Cloud (IDMC) offers seamless integration of master data management, data quality, and data integration with a cloud-native architecture supporting multiple data management styles, optimizing data governance through metadata management.
IDMC enhances data synchronization and mapping tasks, utilizing a broad range of connectors to interact efficiently with data sources. Its precise address validation via AddressDoctor and intuitive navigation bolster user empowerment, delivering agility, scalability, and security in data governance. Despite its strengths, areas like ease of use, SAP integration, and reporting could benefit from enhancements. Connectivity issues and workflow complexities are noted, needing improvements in performance, support, and licensing cost. Users demand expanded ETL capabilities, real-time processing, and broader data source support to address growing data needs.
What are the key features of IDMC?In industries such as banking, healthcare, and telecom, IDMC is implemented for data integration, cloud migration, and enhancing data quality. Its capabilities are crucial for metadata management, lineage tracking, and real-time processing, ensuring high data quality and streamlined operations.
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