

Informatica Intelligent Data Management Cloud (IDMC) and SAS Data Management are strong contenders in the data management solutions category. Informatica IDMC is favored for its cloud-native, scalable real-time data management, although SAS Data Management excels in data standardization and transformation, making it a preferred choice for ensuring data consistency and accuracy.
Features: Informatica IDMC offers seamless integration of data modules, improved data quality, and robust data integration features. It supports performance efficiency with large datasets and includes an extensive repository of data models from other customers. SAS Data Management is known for its data standardization, transformation, and verification abilities crucial for maintaining data accuracy, along with user-friendly interfaces that simplify complex data tasks.
Room for Improvement: Informatica IDMC faces integration challenges, occasional UI issues, and lacks robust MDM features. Enhancements in speed, UI usability, and pre-built functionalities are needed. SAS Data Management would benefit from more affordable pricing, better system integration capabilities, and improved stability to enhance its strong feature set.
Ease of Deployment and Customer Service: Informatica IDMC offers flexible cloud deployment options including public, hybrid, and private clouds, which enhance adaptability but can be complex when transitioning from on-premises setups. Customer service is robust. SAS Data Management primarily supports on-premises deployment with strong technical support that boosts user confidence in efficiently managing data processes.
Pricing and ROI: Informatica IDMC is considered expensive due to its usage-based pricing model, potentially limiting smaller enterprises. Nonetheless, its value in data consistency and integration justifies the cost through long-term ROI via enhanced efficiency. SAS Data Management offers comprehensive features but is seen as costly, primarily due to licensing fees and a lack of flexible subscription models, which may hinder immediate ROI for some businesses.
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 | Market Share (%) |
|---|---|
| Informatica Intelligent Data Management Cloud (IDMC) | 3.7% |
| SAS Data Management | 1.0% |
| Other | 95.3% |

| 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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