

Informatica Intelligent Data Management Cloud (IDMC) and SAS Data Management compete in the data management industry. Based on feature richness and flexibility, IDMC seems to have the upper hand due to its extensive integration capabilities and comprehensive data management tools.
Features: IDM Cloud offers an integrated Data Stewardship application, provides real-time data access even during updates, and has robust integration capabilities. SAS Data Management is known for its powerful SAS language, extensive data analysis features, and its ability to perform complex data transformations efficiently.
Room for Improvement: IDMC faces challenges with customer support response times and the complexity of managing multiple products under one umbrella, which can complicate integration processes. Users also report issues with the UI and connectivity with systems like Salesforce and PIM. SAS Data Management needs to improve its integration and migration to cloud environments, streamline its licensing process, and enhance performance stability and training resources.
Ease of Deployment and Customer Service: IDMC supports on-premises, public cloud, and hybrid cloud deployment models, offering organizational flexibility. It is noted for ease of deployment in cloud environments, with generally well-regarded customer service, though response times can be inconsistent. SAS Data Management is more associated with on-premises deployments but also supports hybrid cloud. While its customer service and technical support are robust, enhancements in response times and user training are suggested.
Pricing and ROI: Informatica IDMC is recognized for its high pricing model, often considered expensive, posing a barrier for smaller enterprises. Nevertheless, it offers substantial long-term ROI when managing large datasets with extensive data integration requirements. SAS Data Management is also viewed as costly, realizing ROI over longer periods with a solid implementation strategy. Both products are deemed pricey, and their pricing models are considered prohibitive by some users.
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.
The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.
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.
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.
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.
From my experience, SAS Data Management is an expensive tool.
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.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS.
| Product | Mindshare (%) |
|---|---|
| Informatica Intelligent Data Management Cloud (IDMC) | 3.6% |
| SAS Data Management | 1.2% |
| Other | 95.2% |

| Company Size | Count |
|---|---|
| Small Business | 51 |
| Midsize Enterprise | 27 |
| Large Enterprise | 153 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| Large Enterprise | 8 |
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.
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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