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I worked for around seven to eight months on a project in the insurance domain using Informatica Intelligent Data Management Cloud (IDMC) and there I was working as a Senior Solution Architect or a Principal Cloud Consultant.

We use the data integration features of Informatica Intelligent Data Management Cloud (IDMC) with a focus primarily on the ETL perspective or the data warehouse perspective, where we are taking different data sources, combining them, implementing some data quality rules on top of it, and then storing it in our data warehouse environment. From there, we are using that data for our reporting and analytics purposes.

We also use the IDMC Data Catalog, but that is very limited, and we are using it only for governance purposes. As a Solution Architect, my main involvement is to design the solution at a very high level; at a ground level, I'm not using the Data Catalog on a day-to-day basis.

The best part about the Informatica Intelligent Data Management Cloud (IDMC) is the modularity; when I say modularity, I mean the things get easier by working into different modules. For example, if you want to implement the Master Data Management solution, we are only limited to the master data solution. If you want to go with the admin side of the things, then we are only limited to the admin side of the things. The second important thing I appreciate about this is the more focus from the AI angle, Artificial Intelligence angle, which is inbuilt into the IDMC.

Definitely, 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.

One of my clients has a requirement; they want to integrate metadata into the process, which means, for example, if I just want to implement a new field into my database, that field needs to be reflected throughout, let's say, 200 mappings. This highlights the need for a data-driven approach.

My experience with technical support from Informatica is quite interesting; I would rate it as nine out of ten for Informatica PowerCenter kind of products or the Informatica integration products, because my team can do some hands-on using their free licenses or one-month kind of products. However, for products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point.

I worked for around seven to eight months on a project in the insurance domain using Informatica Intelligent Data Management Cloud (IDMC) where I was working as a Senior Solution Architect or a Principal Cloud Consultant.

I find Informatica Intelligent Data Management Cloud (IDMC) to be a sustainable and scalable solution.

My experience with technical support from Informatica is quite interesting; I would rate it as nine out of ten for Informatica PowerCenter kind of products or the Informatica integration products, because my team can do some hands-on using their free licenses or one-month kind of products. However, for products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point.

My experience with technical support would indeed be rated as nine out of ten.

Positive

The initial setup of Informatica Intelligent Data Management Cloud (IDMC) is moderate; it is not complex.

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.

My company is a partner with Informatica, and we are the service provider for the company, which defines my relationship with Informatica.

My main role is not involved in the pricing side of things because that is already between the company and the clients. My title is Principal Cloud Engineer at Fifth Dimension Robotics.

On a scale of 1-10, I rate Informatica Intelligent Data Management Cloud (IDMC) a nine out of ten.

The most common use cases for TIBCO EBX include creating data models, data spaces, data sets, workflows, REST services, triggers, constraints, value functions, schema extensions, and access rules. I have completed a POC for Match and Merge, though it wasn't a specific requirement. I have also used DAMA for POC purposes.

The feature I appreciate most about TIBCO EBX is the UI, which is quite simple and user-friendly. The data exchange add-on and the information search are quite helpful.

AI could be implemented in TIBCO EBX. Currently, most tools are moving in that direction, so this could be added. The performance in our company, which has a multi-tenant setup, is an issue because there are many companies using it. We configure it as multi-tenant, and due to that multi-tenancy, we experience some slowness which could be improved.

Regarding stability and performance, I have seen lagging multiple times, especially when we upgraded from version five to six. That was a major difference, and during that time, we faced many production restarts. If there are more records, or if the association tables and fields are more numerous for a particular table, it takes considerable time to load the records. With complex data models, there is noticeable slowness.

I have been using TIBCO EBX for 3.5 years.

I have experienced lagging multiple times with TIBCO EBX, particularly when we upgraded from version five to six. During that time, we faced numerous production restarts. With complex data models or when there are more records and association tables, the system experiences noticeable slowness in loading records.

TIBCO EBX demonstrates excellent scalability. As its backend is Java, we can add various elements such as SQL and JavaScript, making it highly scalable.

I have contacted TIBCO's technical support and customer support. We have a Platform Support Team (PST) that handles these matters. Whenever we encounter issues, we directly raise a ticket with TIBCO.

Positive

I have not worked extensively with alternatives to TIBCO EBX, but I have conducted a POC on Reltio.

Learning to use TIBCO EBX was straightforward. Once you gain hands-on experience with each API and understand how it works, there isn't much difficulty in learning the system.

In my experience with Reltio, I found the UI to be richer. While TIBCO EBX has Match and Merge as an add-on, Reltio performs all data quality validations and Match and Merge automatically before creating a golden record when data comes from multi-system sources. These features are optional add-ons in TIBCO EBX, but they are built-in functionalities in Reltio.

I am not part of the PST team, so I have not been involved in that aspect. On a scale of 1-10, I rate TIBCO EBX an 8.