Ataccama Reference Data Manager [EOL] vs Reltio Cloud comparison

"Really best product for this certain task area – to make reference data is manageable."

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

"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."

"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."

"Reltio Cloud has positively impacted my organization because we were able to promote our data and sell data to our customers."

"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."

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

"Reltio Cloud has positively impacted my organization by reducing the amount of manual effort needed and making it easy to manage downstream systems."

"We can store the data and enrich it from multiple sources."

"Creation process of services for on-line validation data (special services which are able to be used by another system) is too complicated."

"Reltio Cloud can be improved by providing the possibility to connect with other connectors and databases such as Snowflake, Databricks, and eventually with Azure Data Factory."

"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."

"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."

"Initially, the UI was limited in features."

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

"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."

"AI features should be introduced in Reltio more."