

Informatica Intelligent Data Management Cloud (IDMC) and Kong Konnect are prominent products in the data management and API management categories. IDMC takes the lead with advanced data management features such as robust data discovery and master data management, while Kong Konnect shines in API management with its simplicity and scalability.
Features: IDMC enhances data management with features like improved data discovery and cleansing functionalities, strong metadata management, and efficient master data management processes. Kong Konnect offers ease of use, scalability, and secure API management, emphasizing effective load handling and flexible team configurations for API management.
Room for Improvement: IDMC could benefit from improved performance, a more modern interface, and enhanced integration with older technologies. A more flexible pricing model and advancements in ETL capabilities are also desired. Kong Konnect needs more detailed documentation, improvements in UI and RBAC levels, and a simpler licensing model to address technical restrictions like those surrounding GRPC APIs.
Ease of Deployment and Customer Service: IDMC supports flexible deployment across on-premises, hybrid, and cloud environments, but its customer support can be inconsistent, occasionally experiencing technical response delays. Kong Konnect offers streamlined deployment for hybrid and public cloud setups, with responsive customer service, though documentation can be enhanced for user-friendliness.
Pricing and ROI: IDMC is perceived as costly but cost-effective over time, providing value through improved data management and reduced operational time despite initial costs. Kong Konnect has reasonable initial setup costs, with potential pricing escalations based on local factors and volume. Each offers value, yet budget considerations influence user perceptions differently.
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.
Time saved is a relevant metric; it used to take us a week, but now it takes us only a day.
I have seen a return on investment with Kong Konnect, as it helps manage security very well, allows for faster API deployments saving developer time, and reduces salary costs with better uptime and minimal downtime, thus preventing potential business loss.
I have seen the scalability of being able to manage 80 to 100-plus teams with a small team of about three or four people.
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.
Technical support from Proofpoint was absolutely excellent.
When I raise an incident or a support ticket, it gets answered in four hours.
They offer twenty-four-hour support with SLA-based response times.
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.
The platform is fully scalable, providing various ways to manage data planes or runtimes.
Kong Konnect's scalability is very high, handles growth well, and since it is a stateless gateway, it scales easily in Kubernetes using horizontal scaling.
Kong Konnect is the control plane, and there is the ability to add more teams and more control planes based on the number of teams you have onboarding.
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.
It was very fast, and we did not experience any interruptions.
Kong Konnect is very stable with no issues regarding reliability in my experience.
I've seen them run at major scale in large companies across the whole of Europe.
I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team.
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.
The licensing model could be simplified, especially in how they charge and track usage.
When comparing documentation, Kong's documentation is not on par with Google, Amazon, or other cloud providers.
Token integration presents challenges and has implementation complexities that need addressing.
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.
Pricing was the issue as it becomes very expensive due to the nature of local circumstances.
I wouldn't say that the setup cost is much more compared to using any other product.
While the pricing model isn't very clear on how usage is tracked, the initial cost and setup for using Kong Konnect are reasonable.
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.
The documentation is excellent, and it includes a developer portal, which helps create a common distribution channel for APIs within and outside the enterprise.
When I mention scalability, it means that when we experience peak traffic, Kong made it easy for us to scale and spawn new machines.
The security features of Kong Konnect have helped my team mainly by allowing us to use auth and JWT for applications needing external identity provider authentications, such as LDAP or other authentication providers that need to be connected to back-end applications.
| Product | Mindshare (%) |
|---|---|
| Informatica Intelligent Data Management Cloud (IDMC) | 1.5% |
| Kong Konnect | 1.0% |
| Other | 97.5% |
| Company Size | Count |
|---|---|
| Small Business | 51 |
| Midsize Enterprise | 27 |
| Large Enterprise | 155 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 2 |
| Large Enterprise | 3 |
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.
Kong Konnect facilitates efficient management and integration of APIs, providing a streamlined experience for developers to manage their services with high scalability.
Kong Konnect is a comprehensive platform tailored for API development and management. It offers an intuitive interface that simplifies the process of connecting, managing, and securing APIs. Organizations benefit from its scalable architecture, ensuring it meets diverse operational demands and optimizes service delivery, supporting a robust API ecosystem that aligns with modern development practices.
What are the key features of Kong Konnect?In tech industries, Kong Konnect is often implemented to advance cloud-native applications by enhancing API connectivity and security. Financial services utilize it to ensure compliance and secure data sharing. Telecommunications deploy it to handle high data throughput efficiently.
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