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.
We see return on investment from this solution in terms of time; time reduction or cost benefits is what we are getting very good results from.
It is a community product, there is not much support we can expect.
The toolset is very intuitive, so we didn’t need to contact their support much.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
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.
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.
I find Informatica Intelligent Data Management Cloud (IDMC) to be a sustainable and scalable solution.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
Reporting capabilities can be improved more, and community support should be increased.
For more mature environments, the integration to live systems is lacking, which affects its applicability.
The decision map could be improved to allow more than three options at a decision point.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.
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.
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.
The user interface is very good, making it easy for business people to understand.
Bizagi has rich functionalities; compared to other BPMN tools, it has more features.
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.
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.
| Product | Market Share (%) |
|---|---|
| Bizagi | 5.6% |
| Informatica Intelligent Data Management Cloud (IDMC) | 1.4% |
| Other | 93.0% |
| Company Size | Count |
|---|---|
| Small Business | 42 |
| Midsize Enterprise | 16 |
| Large Enterprise | 36 |
| Company Size | Count |
|---|---|
| Small Business | 42 |
| Midsize Enterprise | 24 |
| Large Enterprise | 134 |
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) integrates data quality, governance, and integration with flexible architecture. It supports multiple domains and a data models repository, delivering AI-enhanced data management across cloud-native platforms.
IDMC provides seamless integration and governance capabilities that support diverse data environments. Its comprehensive suite includes customizable workflows, data profiling, and metadata management. AI features, a data marketplace, and performance scalability enhance data management. While its interface poses challenges, its robust matching and cloud-native integration facilities are essential for complex data ecosystems. Users employ IDMC for connecting systems, ensuring data quality, and supporting data compliance but seek better pre-built rules, services, and improved connectivity, especially with platforms like Salesforce. Licensing, cost, and added AI functionalities are areas for potential refinement.
What are the key features of IDMC?IDMC is implemented across industries for data integration, metadata management, and governance. Organizations use it to connect systems, migrate data to cloud environments, and maintain data quality. They manage master data and automate business processes, facilitating data lineage and ensuring compliance with privacy regulations.
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