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.


| Product | Market Share (%) |
|---|---|
| Informatica Intelligent Data Management Cloud (IDMC) | 13.1% |
| Palantir Foundry | 19.0% |
| Denodo | 6.8% |
| Other | 61.1% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Data Management Platforms (DMP) | Dec 29, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Dec 29, 2025 | Download |
| Comparison | Informatica Intelligent Data Management Cloud (IDMC) vs Palantir Foundry | Dec 29, 2025 | Download |
| Comparison | Informatica Intelligent Data Management Cloud (IDMC) vs Denodo | Dec 29, 2025 | Download |
| Comparison | Informatica Intelligent Data Management Cloud (IDMC) vs Cloudera Data Platform | Dec 29, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Camunda | 4.1 | N/A | 89% | 78 interviewsAdd to research |
| Microsoft Azure API Management | 3.9 | N/A | 91% | 83 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 31 |
| Midsize Enterprise | 22 |
| Large Enterprise | 119 |
| Company Size | Count |
|---|---|
| Small Business | 742 |
| Midsize Enterprise | 428 |
| Large Enterprise | 2308 |
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.
Informatica Intelligent Data Management Cloud (IDMC) was previously known as ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking.
The Travel Company, Carbonite
| Author info | Rating | Review Summary |
|---|---|---|
| Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte | 4.5 | I find Informatica Intelligent Cloud Services highly scalable and secure for handling large data volumes with effective automation and governance. However, cache issues, parameter limitations, and API constraints exist, leading to occasional preference for third-party solutions like Snowflake for cost efficiency. |
| Informatica Administrator EDC, Axox, PC, MDM at itcinfotech | 4.5 | I've used Informatica Intelligent Data Management Cloud for years, primarily for cloud data governance. It integrates data quality with governance, merging tools like EDC and Axon. Despite its capabilities, high license costs push some towards alternatives like OneTrust or Collibra. |
| Principle Cloud Engineer at Sector 125 | 4.5 | I used IDMC for ETL and data warehouse projects in insurance and found it modular, scalable, and AI-driven, with good ROI and support, though practicing with some MDM tools was challenging for my team. |
| Data and Analytics Manager at a insurance company with 10,001+ employees | 3.0 | I used Informatica Cloud Data Quality for real-time data quality monitoring, which was effective but required developer resources, making it costly and time-consuming. Although it ensured data integrity, the ROI took two years compared to quicker alternatives like Collibra. |
| IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees | 4.5 | I use Informatica Data Quality for customized data profiling and quality reports before migrations. Its quick visibility features aid business discussions, though it needs more user-friendly UI and customizable material-level match options. I switched from Suniti for cost and expertise reasons. |
| Technical manager at a consultancy with 10,001+ employees | 4.5 | I've used Informatica Enterprise Data Lake for over two years with Duke Energy on AWS, finding it robust for handling diverse data types, though integration and report speed could improve; overall, it's reliable, scalable, and cost-effective. |
| Consulting Principal & Founder at Digital Data Consultancy | 3.5 | I have used Informatica IDMC for managing customer data and creating master data repositories, appreciating its match and merge functionality and integration capabilities. However, it requires UI enhancements and improvements in bulk data management and attribute handling. |
| Data Engineer at Imriel | 4.0 | I'm using Informatica Intelligent Cloud Services for cloud data integration; it's scalable, fast, and user-friendly. AI aids workflow optimization, though error log analysis is difficult. I haven't explored advanced governance features or measured productivity impact yet. |