Informatica IDMC and AWS Step Functions compete in the enterprise data management and orchestration space. Informatica IDMC seems to have the upper hand due to its comprehensive data management, integration capabilities, and extensive feature set.
Features: Informatica IDMC provides seamless integration for data quality and master data management, supporting multiple domains with flexible architecture. Its modules cater to registry and consolidation styles, offering a comprehensive central data management solution. AWS Step Functions excels in providing robust orchestration capabilities, integrating seamlessly with AWS services and offering a user-friendly interface for task management.
Room for Improvement: Informatica IDMC requires enhancements in data stewardship and the user interface. Connectivity issues and complex configuration processes are also noted by users. AWS Step Functions could improve by offering more data transformation features and better integration with third-party solutions. Pricing flexibility and reducing dependency on the AWS ecosystem are also desired improvements.
Ease of Deployment and Customer Service: Informatica IDMC offers versatile deployment options including On-premises, Hybrid, and Private Cloud. However, deployment complexity and regional variance in customer service responsiveness are concerns. AWS Step Functions focuses on Public Cloud deployment, offering simplicity that users appreciate, though its technical support sometimes lacks the immediacy seen in IDMC's service.
Pricing and ROI: Informatica IDMC is considered expensive but delivers significant ROI through enhanced data management and quality. Its flexible pricing, though high, justifies its extensive features. AWS Step Functions adopts a consumption-based pricing model, often deemed cost-effective for AWS service users. Its scalability provides an attractive ROI, yet it may lack the feature depth offered by IDMC.
The speed of reply and the content of their responses usually solve the problems that arise.
I use enterprise support, which is excellent, providing responses within fifteen minutes.
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.
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.
They can handle multiple simultaneous requests effectively.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
If one zone fails, others handle the demand, ensuring high availability.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
There is room for improvement in terms of integration with other products.
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 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.
Pricing for Step Functions is very cheap.
The cost is average, provided it is configured correctly.
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.
It was particularly valuable for its integration capabilities, allowing for execution of scripts and data migration.
Step Functions provide seamless integration with AWS services, which enhances the speed of application development.
AWS Step Functions offers advanced workflows that save time and enhance efficiency by reducing delays and ensuring consistent orchestration among various services.
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.
AWS Step Functions enables orchestration of complex workflows, parallel task execution, and seamless integration with AWS services, simplifying ETL automation and data pipeline management.
With AWS Step Functions, developers streamline task automation and ensure smooth microservices orchestration. It simplifies development and manages interdependencies, validates data, and integrates AWS services for cost-effective workflows. It offers a user-friendly graphical interface for creating pipelines, scalable parallelization via the "map" state, control over historical events, and visualization with JSON. Enhanced by a dashboard-like view, it aids in visual workflows and debugging.
What are the most valuable features?
What are the benefits and ROI to look for?
In specific industries such as finance, healthcare, and e-commerce, enterprises implement AWS Step Functions to manage data pipelines, orchestrate microservices, and automate complex ETL jobs. They benefit from seamless integration with AWS services, enhanced data validation, and streamlined development, resulting in efficient and cost-effective workflows tailored to their operational needs.
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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