Informatica Intelligent Data Management Cloud and Informatica Cloud Data Quality are key competitors in the field of data management platforms. IDMC appears to have the upper hand due to its comprehensive feature set that offers robust data management and integration capabilities, while Cloud Data Quality is primarily focused on enhancing cloud-based data quality.
Features: IDMC provides seamless integration with numerous data modules and supports various Master Data Management styles. It is effective in data cleansing, data validation, and integration. Cloud Data Quality excels in data profiling, discovery, and application of business rules, making it a robust choice for cloud-based quality management.
Room for Improvement: IDMC requires enhancements in user interface, SAP application integration, and reporting features. Cloud Data Quality users mention UX improvements, expanded data source support, and better handling of spatial data. While IDMC’s broader functionality needs more refinement, Cloud Data Quality’s issues are more specific to integration concerns.
Ease of Deployment and Customer Service: IDMC offers various deployment models including on-premises, hybrid, and cloud, providing flexibility in implementation. On the other hand, Cloud Data Quality primarily supports public cloud deployment, limiting deployment choices. While IDMC's customer service is well-rated, there are occasional time zone issues. Cloud Data Quality support is responsive, yet has potential for quicker resolution of complex issues.
Pricing and ROI: IDMC is known for its high cost, which is justified by its extensive features and flexible usage-based license models. Informatica Cloud Data Quality, featured with tier-based pricing, is seen as an expensive option for large-scale users. Both solutions offer a positive return on investment, but IDMC often provides higher returns through its comprehensive management tools.
Compared to Collibra Catalog, where the value is noticeable within six months.
The stability and performance remain issues.
The support is not very good; each ticket starts from scratch as there is no continuity between personnel handling the same ticket.
Even after going out of service support, they still reached back to me whenever I raised tickets.
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.
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 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.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
This creates a significant cost and time burden, especially since we followed a strict software development life cycle process, which made creating each rule time-consuming and expensive.
The current solution requires code-writing and tweaking, while other solutions offer material-level matches.
It is not stable, and there are several issues, especially on the cloud side, unlike the on-premise version which was very stable.
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 pricing for Informatica Cloud Data Quality is super expensive.
It ranges from a quarter million to a couple of million a year.
I think the costs are reasonable for the kinds of features that Informatica Intelligent Data Management Cloud (IDMC) has.
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.
The quality of the data improves with Informatica Cloud Data Quality.
The out-of-the-box features and standard profiling options provide quick visibility of the data within minutes.
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.
Informatica Cloud Data Quality Radar is a cloud application that quickly identifies, fixes, and monitors data quality problems in your business applications—wherever they are, in the cloud or on-premise.
This easy-to-use, browser-based tool empowers line-of-business managers to take ownership of the data quality process so business can maximize the return on trusted data. Informatica Cloud Data Quality Radar enables you to quickly assess the strengths and weaknesses in your data, to track improvements in the data over time, and to calculate data quality scores for objects and field entities with the flexibility to filter and drill down on specific records for better detection of problems.
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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