

Informatica Intelligent Data Management Cloud (IDMC) and Amazon API Gateway are prominent players in the enterprise data management and API management sectors. IDMC holds an edge in data management and integration due to its robust features, while Amazon API Gateway stands out with its serverless architecture and close integration with AWS services.
Features:IDMC excels in comprehensive data management and integration, handling diverse data types, supporting enterprise-level scalability, and offering data lineage capabilities. Amazon API Gateway is noted for its serverless architecture, cost-effectiveness, and seamless AWS integration, enhancing scalability and ease of use.
Room for Improvement:IDMC needs to address high costs, complex licensing, and improve real-time data processing support. Users also suggest better integration with third-party tools and enhanced user interfaces. Amazon API Gateway users require better documentation, user interfaces, and governance features, alongside improved connectivity and monitoring capabilities.
Ease of Deployment and Customer Service:Both IDMC and Amazon API Gateway provide cloud and on-premises deployment options. IDMC offers more hybrid cloud flexibility, essential for diverse data environments. While IDMC’s customer service is generally well-regarded, Amazon API Gateway could benefit from enhanced support responsiveness and more comprehensive documentation.
Pricing and ROI:IDMC's usage-based pricing model can be cost-effective for large deployments but is often seen as expensive. It offers a high ROI through robust data management features. Amazon API Gateway utilizes a pay-as-you-go model, providing cost-effectiveness, especially for smaller organizations, though pricing can escalate with higher data volumes or intricate use cases.
API Gateway saves time and secures my infrastructure, allowing effective deployment.
Leadership prefers to utilize third-party tools, such as Snowflake, which has both storage and ELT features.
The stability and performance remain issues.
Compared to Collibra Catalog, where the value is noticeable within six months.
Technical support is excellent, deserving a ten out of ten rating.
We encountered challenges accessing technical support channels, such as a need for a clear telephone number and chat sessions.
With the enterprise plan, there is a set SLA.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
Even after going out of service support, they still reached back to me whenever I raised tickets.
We expect more responsive assistance because they have the expertise since Informatica is their tool, but I don't see enough expertise on the Informatica support side.
I have not experienced or seen the product going down or responding late.
Amazon API Gateway exhibits satisfying scalability.
If the business management agrees to scale out, it's easy and fast using coded infrastructure with Terraform scripts.
I have used the product over multiple systems and was able to write reports for large data sets without any performance issues.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
There are many options available, and the licensing model is quite good, supporting our needs effectively.
Our applications are stable, owing partly to our architecture, which is spread across three regions.
I would rate its stability as nine out of ten.
Amazon API Gateway has proven to be very stable, with a stability rating of ten out of ten.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
There are substantial stability issues with Informatica Cloud Data Quality on the cloud.
I find the stability to be good, with occasional restarts required every two to three months due to glitches.
A local version of the API Gateway would be beneficial for testing purposes without incurring extra costs.
Since the first invocation of AWS Lambda takes more than 30 seconds because of Lambda's cold start, Amazon API Gateway blocks that resource, thereby aborting the invocation.
Amazon API Gateway will wait for only 30 seconds to get a response from other services, such as the Lambda function.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
The current solution requires code-writing and tweaking, while other solutions offer material-level matches.
If the development interface could be optimized to have fewer modules, it would be greatly beneficial.
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.
Informatica Intelligent Cloud Services is affordable for my specific use cases, with the pricing being rated three or four on a scale where one is very cheap.
Regarding pricing, compared to other tools I have worked with, Informatica offers competitive pricing, which I find not high in terms of starting strategy.
works well for defining different states for different customers based on their purchase plans
A most valuable feature of Amazon API Gateway is how quickly we can connect to backend services and have APIs accessible from anywhere.
It handles security and other headaches, keeping our database and servers secure.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
The connectors serve as the main functionality, making data integration processes more efficient by saving time and effort.
We could run data quality rules as part of Service Bus, which ensured the integrity of customer information before it was entered into our database.
| Product | Mindshare (%) |
|---|---|
| Amazon API Gateway | 12.1% |
| Informatica Intelligent Data Management Cloud (IDMC) | 1.0% |
| Other | 86.9% |

| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 13 |
| Large Enterprise | 21 |
| Company Size | Count |
|---|---|
| Small Business | 51 |
| Midsize Enterprise | 27 |
| Large Enterprise | 153 |
Amazon API Gateway stands out for its seamless integration with AWS, ease of use, scalability, and support for secure API management, benefiting from a serverless architecture that helps control costs while ensuring efficient backend connectivity.
Amazon API Gateway offers significant capabilities for managing APIs, integrating smoothly with AWS Lambda for serverless operations. It provides robust security with authentication, authorization, and input validation. The gateway supports API traffic management, rate limiting, and enhances accessibility while facing areas for potential improvements in pricing, documentation, interface usability, monitoring, security, latency, analytics, and debugging tools. Expanded integration features and AI-based development aids are desirable.
What features make Amazon API Gateway effective?Amazon API Gateway is frequently employed in industries like mobile development and public services to ensure secure, efficient interactions between front-end and back-end systems. It's instrumental in managing APIs, integrating microservices, and offering controlled API access, notably in environments requiring robust security and service exposure.
Informatica Intelligent Data Management Cloud (IDMC) offers seamless integration of master data management, data quality, and data integration with a cloud-native architecture supporting multiple data management styles, optimizing data governance through metadata management.
IDMC enhances data synchronization and mapping tasks, utilizing a broad range of connectors to interact efficiently with data sources. Its precise address validation via AddressDoctor and intuitive navigation bolster user empowerment, delivering agility, scalability, and security in data governance. Despite its strengths, areas like ease of use, SAP integration, and reporting could benefit from enhancements. Connectivity issues and workflow complexities are noted, needing improvements in performance, support, and licensing cost. Users demand expanded ETL capabilities, real-time processing, and broader data source support to address growing data needs.
What are the key features of IDMC?In industries such as banking, healthcare, and telecom, IDMC is implemented for data integration, cloud migration, and enhancing data quality. Its capabilities are crucial for metadata management, lineage tracking, and real-time processing, ensuring high data quality and streamlined operations.
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