Informatica Intelligent Data Management Cloud (IDMC) and SAS Data Management compete in the data management category. IDMC is noted for its flexible architecture and robust data cleansing, giving it a slight advantage in user feedback.
Features: IDMC offers seamless data integration, flexible architecture for various data management styles, and robust data cleansing capabilities. SAS stands out for strong data quality, data integration options, and comprehensive analytics capabilities.
Room for Improvement: IDMC needs better integration with SAP applications, more preconfigured business rules, and improved user-friendliness and data stewardship. SAS faces challenges with its high cost, complex licensing model, and integration capabilities in cloud migration.
Ease of Deployment and Customer Service: IDMC offers flexibility in deployment across on-premises, hybrid, and cloud environments, but customer service varies with response times often criticized. SAS operates mainly on-premises and generally receives positive feedback on its customer service, although some users report slow response rates.
Pricing and ROI: IDMC is in a higher pricing tier, offering extensive features that provide value. SAS is also expensive but noted for its analytics and management capabilities. Both platforms present substantial ROI potential when effectively used at scale.
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.
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.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
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.
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.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
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.
From my experience, SAS Data Management is an expensive tool.
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.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
Product | Market Share (%) |
---|---|
Informatica Intelligent Data Management Cloud (IDMC) | 3.6% |
SAS Data Management | 0.9% |
Other | 95.5% |
Company Size | Count |
---|---|
Small Business | 42 |
Midsize Enterprise | 24 |
Large Enterprise | 134 |
Company Size | Count |
---|---|
Small Business | 7 |
Midsize Enterprise | 1 |
Large Enterprise | 7 |
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.
Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.
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