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.
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.
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) 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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