IDMC and erwin Data Intelligence compete in the data management and governance category. Based on feature analysis, IDMC holds an edge with its comprehensive data governance capabilities and wide-ranging connectivity options, while erwin stands out in metadata management and visualization.
Features: IDMC offers seamless integration of data quality and integration modules, flexible architecture, and robust data governance capabilities. It delivers wide-ranging connectivity and emphasizes data duplication management. erwin Data Intelligence focuses on metadata management, data cataloging, and automating data processes. It provides strong lineage tools and data visualization features, praised for mapping and data lineage capabilities.
Room for Improvement: IDMC's user interface and performance during maintenance are challenging, alongside a need for better ETL capabilities and data stewardship tools. Reporting and connectivity stability could also improve. erwin Data Intelligence could enhance its AI capabilities for data cataloging and quality tools, requiring fewer third-party components. System integration complexity could be reduced for both, but IDMC experiences more user interface issues.
Ease of Deployment and Customer Service: IDMC supports deployment across on-premises, hybrid, and public cloud environments, offering robust customer service although support responsiveness varies. erwin Data Intelligence excels in private and public cloud deployment, providing timely customer service and effective technical support with consistent responsiveness.
Pricing and ROI: IDMC is known for high costs with IPU-based pricing models, offering long-term cost-effectiveness despite premium pricing and limited trial versions. erwin Data Intelligence offers competitively valued user-based licenses, ensuring positive ROI through automation and scalability, appealing to cost-conscious buyers.
The response time is pretty good because we have someone in-house, who is an expert from Informatica, in our team who can help us with any sort of queries usually.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
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.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
The observability concept in Informatica Intelligent Data Management Cloud (IDMC) needs improvement as the capabilities are not up to the mark compared to the industry.
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.
Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
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 erwin Data Intelligence Suite (erwin DI) combines data catalog and data literacy capabilities for greater awareness of and access to available data assets, guidance on their use, and guardrails to ensure data policies and best practices are followed. Automatically harvest, transform and feed metadata from a wide array of data sources, operational processes, business applications and data models into a central data catalog. Then make it accessible and understandable within context via role-based views. This complete metadata-driven approach to data governance facilitates greater IT and business collaboration.
Informatica Intelligent Data Management Cloud (IDMC) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.
IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.
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What benefits and ROI should be considered?
Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.
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