Informatica Intelligent Data Management Cloud and AuraQuantic compete in data management and process automation. IDMC holds the upper hand in data integration and quality for enterprises focused on robust data handling, while AuraQuantic offers superior process automation and flexibility.
Features: IDMC offers advanced data integration, data cleansing, and quality management, providing a comprehensive suite for robust data handling. AuraQuantic is known for its low-code platform, process automation capabilities, and flexibility in application development.
Room for Improvement: IDMC could improve its interface for easier navigation, enhance its customization options, and offer more user-friendly documentation. AuraQuantic might benefit from expanding its integration capabilities, refining its reporting tools, and enhancing training resources for new users.
Ease of Deployment and Customer Service: IDMC's cloud-based deployment ensures scalability and reliability, supported by effective customer service. AuraQuantic also provides a cloud-based solution with a focus on easy customization and friendly customer service, appealing for automation newcomers.
Pricing and ROI: IDMC generally requires a higher initial investment, promising significant ROI through data handling efficiency. AuraQuantic offers an affordable entry point with quick returns through process improvements, making it a cost-effective option for automation-focused businesses.
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.
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.
For products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point.
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.
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.
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.
IDMC is often described as the 'Ferrari of Master Data Solutions,' implying that while expensive, it is business-critical and, therefore, justified.
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.
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.
| Product | Market Share (%) |
|---|---|
| Informatica Intelligent Data Management Cloud (IDMC) | 1.4% |
| AuraQuantic | 0.6% |
| Other | 98.0% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Company Size | Count |
|---|---|
| Small Business | 42 |
| Midsize Enterprise | 24 |
| Large Enterprise | 134 |
AuraQuantic is a digital platform designed for business users to easily and rapidly build unlimited processes and applications to automate end-to-end operations, reducing costs and optimizing productivity.
AuraQuantic is a no-code platform for building the enterprise solutions that drive Digital Transformation.
Delight users with attractive interfaces across multiple devices and deliver the best user experience. Respond immediately to their ever-changing needs with the agility provided by the platform and its no-code changes on the fly.
This is the most powerful part of any application. This is why AuraQuantic offers a long list of built-in, no-code functionalities.
To manage application and process data models, AuraQuantic provides a visual data model designer and supports importing data schemas.
Access rights management (to apps and app development), Application metadata collection, Application performance monitoring, Application works dashboard, Custom ‘guardrails’ for practitioners/developers, Role-based access control to data and services for app dev, Multiple practitioners/developers for a single app and across the platform.
Digital Decisioning features aim to inform and automate operational decisions. These decisions continue to increase in amount and complexity due to growing customer demands. Business decision automation is a must to keep up with ever-changing customer needs.
Thanks to business activity data collection, using custom applications built with AuraQuantic, the organization is empowered to carry out accurate analysis and act smart by leveraging business insights.
API REST, API SOAP, API DLL
Exposing APIs (process/application logic and decision systems)
Connector builder
REST and SOAP web services connector
External database connectors (Adapters Servers, scripts and stored procedures execution)
.Net Assembly connector Connectors with Artificial Intelligence services (AI)
Robotic Process Automation (RPA) service connectors
More built-in connectors (50+)
Microsoft Office 365, Google Suite, SAP…
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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