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.
The stability and performance remain issues.
Compared to Collibra Catalog, where the value is noticeable within six months.
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.
Even after going out of service support, they still reached back to me whenever I raised tickets.
The support is not very good; each ticket starts from scratch as there is no continuity between personnel handling the same ticket.
I would evaluate Informatica's technical support as good.
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.
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 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.
I find Informatica Intelligent Data Management Cloud (IDMC) to be a sustainable and scalable solution.
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.
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.
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 tool needs to mature in terms of category-specific attributes or dynamic attributes.
I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.
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 pricing for Informatica Cloud Data Quality is super expensive.
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.
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.
Regarding the features, the dashboards related to data quality profiling are the most powerful tool that we are using, and the integration between EDC and the data quality is very important.
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.
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.
Product | Market Share (%) |
---|---|
Informatica Intelligent Data Management Cloud (IDMC) | 11.2% |
Informatica Cloud Data Quality | 4.4% |
Other | 84.4% |
Company Size | Count |
---|---|
Small Business | 5 |
Midsize Enterprise | 2 |
Large Enterprise | 9 |
Company Size | Count |
---|---|
Small Business | 42 |
Midsize Enterprise | 24 |
Large Enterprise | 134 |
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) 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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