Informatica Intelligent Data Management Cloud (IDMC) and Amazon API Gateway compete in the data management and API management space. While IDMC is known for its advanced data management capabilities, Amazon API Gateway seems to have an edge in scalability and seamless AWS integration.
Features: IDMC is renowned for its seamless integration of MDM, flexible architecture, and data cleansing capabilities. Amazon API Gateway, on the other hand, offers strong integration capabilities with AWS services, enhanced security features, and high scalability. Each product is built to address specific needs within their domain.
Room for Improvement: IDMC users are looking for improvements in its UI, expanded data source connectivity, and better performance maintenance. For Amazon API Gateway, users would like to see enhancements in its user interface, more comprehensive integration options, and improved documentation. There is a lack of traditional API management features that could affect user experience.
Ease of Deployment and Customer Service: IDMC can be deployed across both on-premises and cloud environments, offering versatile deployment options. It provides good technical support with potential improvements in response times. Amazon API Gateway is mostly limited to cloud deployments but is praised for its efficient customer service, particularly within the AWS ecosystem.
Pricing and ROI: IDMC is perceived as expensive compared to similar products, but users acknowledge a strong ROI, especially in data integration and quality improvements. Amazon API Gateway employs a pay-as-you-go pricing model, seen as cost-effective for scalable API management needs. Despite higher costs, IDMC's data capabilities offer long-term value, whereas Amazon API Gateway's model offers flexibility for scaling API management.
API Gateway saves time and secures my infrastructure, allowing effective deployment.
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.
Technical support is excellent, deserving a ten out of ten rating.
We benefit from enterprise support, ensuring prompt responses from the technical support team.
We encountered challenges accessing technical support channels, such as a need for a clear telephone number and chat sessions.
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.
I haven't observed any significant issues indicating a lack of scalability, as it can be efficiently managed through configurations.
Scalability-wise, I rate the solution a nine out of ten.
There are one hundred thousand users using it in our company.
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.
I've deployed it for a client with millions of users without issues.
Our applications are stable, owing partly to our architecture, which is spread across three regions.
The stability is highly guaranteed, as AWS itself provides the cloud service with a reliability of 99.99%.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
A local version of the API Gateway would be beneficial for testing purposes without incurring extra costs.
Amazon API Gateway needs to focus on minimizing latency.
We use a lot of TerraForm scripts to build up our environment.
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.
However, my understanding is that it easily goes to $14,000 or $15,000 USD each month for each account, and we have several such accounts.
It is a really cheap product, but if used incorrectly, it can become expensive.
It is expensive.
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 acts as a master tool, offering easy configuration and excellent integration capabilities with third-party services.
The solution is solid, robust, and scalable.
The tool's most valuable aspect is its scalability.
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 (%) |
|---|---|
| Amazon API Gateway | 12.9% |
| Informatica Intelligent Data Management Cloud (IDMC) | 0.5% |
| Other | 86.6% |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 12 |
| Large Enterprise | 21 |
| Company Size | Count |
|---|---|
| Small Business | 42 |
| Midsize Enterprise | 24 |
| Large Enterprise | 134 |
Amazon API Gateway facilitates internal APIs exposure to external users, manages requests, and enhances security with authentication. It efficiently handles serverless architectures with AWS Lambda integration, supporting cloud-based API management.
Amazon API Gateway acts as a gateway for backend microservices, making it suitable for real-time use cases. It enables secure communication, traffic routing, and access control management. With its strength in integrating AWS services, it offers excellent scalability, proxy capabilities, and cost-effective management. Users have noted areas for improvement, such as pricing, interface, and the need for better AI-based capabilities. Improvements are also sought in monitoring, security features, and support services.
What features make Amazon API Gateway stand out?Industries utilize Amazon API Gateway to streamline operations in sectors like finance, healthcare, and tech, focusing on real-time data processing and secure communication. The gateway's ability to manage traffic and provide robust security features is key in industries requiring dependable and versatile API management solutions.
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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