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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.
The zero incremental license cost plus the operational improvements from having clean, consistent master data, reduced errors, faster reporting, and cleaner compliance provide a solid ROI.
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 couple of times we found issues with technical support from Microsoft for Microsoft MDS, they resolved them.
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.
I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team.
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.
The frustration they had was just around usability and user experience with latency issues.
Microsoft has announced Microsoft MDS is being removed from SQL Server two thousand twenty-five.
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.
For clients already running SQL Server Enterprise, that means the MDM capability has effectively no incremental license cost, which is a significant commercial advantage over dedicated MDM platforms that can run into hundreds of thousands of dollars annually.
Microsoft MDS was pretty affordable.
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.
Organizations that previously had no single source of truth for their master data start making better decisions faster because they're not spending time reconciling conflicting data from different systems.
Microsoft MDS was good regarding versioning and workflow features.
| Company Size | Count |
|---|---|
| Small Business | 51 |
| Midsize Enterprise | 27 |
| Large Enterprise | 155 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 2 |
| Large Enterprise | 15 |
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.
Microsoft MDS is valued for its seamless integration with SQL Server and Azure Active Directory, dynamic data masking, and row-level security. It offers flexibility for data stewardship, supports data quality business rules, and features Excel integration while maintaining cost-effectiveness with SQL Server Enterprise Edition.
Microsoft MDS is primarily utilized for master data management, enabling the integration of data from multiple sources for analytics and ensuring data consistency across operations. It is suitable for maintaining customer databases and standardizing data variations. MDS supports data cataloging and harmonization, making it essential for process inventories and enterprise reference data management. Users leverage its capabilities for data stewardship and validation, facilitating the management of multiple identifiers and ETL process sourcing. Its flexibility allows for seamless data modeling and management without extensive manual intervention.
What are the key features?In industries like finance, healthcare, and retail, Microsoft MDS plays a critical role in managing large volumes of data while ensuring data accuracy and compliance with regulations. Organizations implement MDS to standardize customer data, track vital changes, and maintain reliable data inventories. The flexibility of MDS allows it to adapt to specific industry requirements, supporting the automation of data processes and enhancing overall data quality without significant manual efforts.
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