Reltio Cloud vs Stibo STEP MDM comparison

"The survivorship feature is great because we can define it, prioritize the sources, and only allow those sources to survive when making the golden record."

"The matching feature of Reltio Cloud is highly effective compared to many other tools available. Additionally, it is almost ready to use out-of-the-box, reducing the implementation time."

"The most valuable feature is real-time synchronization. You can see the events as soon as they are posted within a couple of fraction seconds."

"It is a scalable product, and the scalability is good. We can configure users."

"It is very easy to learn. The"

"There are default limitations and considerations. For instance, Reltio can store a maximum of 200 values for a single attribute. If your data exceeds this limit, you can request Reltio support to increase the limit. However, be aware that increasing this limit may impact performance, potentially slowing down data loading times."

"Its user interface is different from that of other MDM solutions like Informatica"

"The solution saves 30% to 40% of our time."

"The match engine is very good and the BPM solution is very good as well."

"Data profiling allows us to recognize values from our upstream applications. It helps us place limits on the creation of new data domains to organize the ecosystem. The golden record, crucial for downstream applications, ensures data integrity and consistency."

"It's powerful and it's stable."

"The second feature I love is its modular design, where you can create a certain number of entities and create hierarchical entities."

"It's very user friendly, and we can do everything in one place."

"Initially, the UI was limited in features."

"There is some lag in developing new features for specific business requirements. If a new feature is needed, we have to raise a request in the developer portal through the IDEA portal. This process takes time to develop, which can be a drawback when immediate business needs arise."

"The solution's UI could be enhanced, and its record filtering could be expanded."

"AI features should be introduced in Reltio more."

"Sometimes, the service goes down for maintenance or when we run a lot of jobs so things get pushed to the queue and results don't get delivered on time."

"We need manual data modeling and configuration to tailor the platform to our requirements."

"The deployment is difficult."

"Reltio Cloud could be improved in two specific areas. Firstly, the API capability needs to be enhanced, as when utilizing the REST API and posting a significant amount of data, there are multiple rejections from the MDM side. This can be due to the MDM server not responding or being unable to process the request. Therefore, I suggest that the API capacity should be increased to handle larger amounts of data. Additionally, I have noticed that the response time from the servers can take up to a minute or a few seconds, which can be improved for a faster response time."

"The search feature for searching internal records could be improved."

"The initial setup is complex."

"The customer service and support were a little adamant about giving workarounds rather than accepting that something was not working correctly."

"The analytics module can be improved. It is a self-service solution for creating new reports and submitting visions to bring more data to the CEO table."

"There is scope for improvement with regard to the UI."