Informatica IDMC and Bizagi compete in the software and technology industries, focusing respectively on data management and process automation. IDMC seems to have the upper hand with broader data management features and comprehensive integration capabilities, whereas Bizagi distinguishes itself in process modeling and automation.
Features: IDMC offers seamless integration capabilities, enhanced data quality, and a flexible architecture supporting multiple MDM styles. It includes valuable features such as IDQ integration, data cleansing, and match-and-merge functionality. Bizagi excels in easy process modeling, flexible task-based workflows, and strong BPMN compatibility, allowing users to model and automate processes quickly, and providing intuitive interfaces and simulation capabilities.
Room for Improvement: IDMC could benefit from improvements in user interface design, data stewardship capabilities, and visualization challenges, with users seeking better error-reporting frameworks. Bizagi may enhance its automation features, integration with third-party applications, and performance in handling large processes, while making its functionalities more intuitive for users.
Ease of Deployment and Customer Service: IDMC provides versatile cloud deployment options with flexibility in hybrid and private environments, though on-premises setups can be complex. It has generally satisfactory customer support, though experiences may vary. Bizagi is recognized for straightforward on-premises deployment and ease of use, with efficient customer service noted for its timeliness and effectiveness, but could benefit from deeper technical support.
Pricing and ROI: IDMC is positioned as a premium solution, with high costs reflecting its extensive capabilities in data integration, despite noted complexities in licensing. It offers substantial ROI through data management efficiency. Bizagi offers a cost-effective alternative, particularly with its free modeler version, catering to SMEs and presenting scalable pricing that meets varying enterprise needs, delivering satisfactory ROI in process efficiency.
The toolset is very intuitive, so we didn’t need to contact their support much.
It is a community product, there is not much support we can expect.
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.
There is no direct scalability option.
If I rate scalability from one to ten, I would probably give it a six.
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.
For more mature environments, the integration to live systems is lacking, which affects its applicability.
Reporting capabilities can be improved more, and community support should be increased.
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.
Bizagi's pricing is very aggressive, and it was one of the reasons we chose it.
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.
It is open source.
Bizagi has rich functionalities; compared to other BPMN tools, it has more features.
The user interface is very good, making it easy for business people to understand.
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 platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.
Bizagi’s industry-leading low-code process automation platform connects people, applications, robots, and information. As the most business-friendly and flexible solution on the market, Bizagi enables true collaboration between business and IT, delivering faster adoption and success. Fuelled by a community of 1 million users, Bizagi powers over 1,000 organizations worldwide including Adidas, BAE Systems, and Old Mutual. For more information visit www.bizagi.com
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.
What are the most important features?
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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