Reltio Cloud Reviews

Name: Reltio Cloud
Brand: Reltio
Rating: 4.3 (12 reviews)

4.3 out of 5

12 reviews
100% willing to recommend

490 followers

What is Reltio Cloud?

Reltio Cloud excels in Master Data Management (MDM), offering real-time data synchronization and a unified data view across diverse sources. Praised for its scalable architecture and user-friendly interface, it enhances operational efficiency and compliance management, making it ideal for handling large volumes of data and improving organizational productivity.

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Reltio Cloud is the #2 ranked solution in top Cloud Master Data Management (MDM) Solutions solutions. PeerSpot users give Reltio Cloud an average rating of 8.6 out of 10. Reltio Cloud is most commonly compared to Informatica Intelligent Data Management Cloud (IDMC): Reltio Cloud vs Informatica Intelligent Data Management Cloud (IDMC). Reltio Cloud is popular among the large enterprise segment, accounting for 77% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 14% of all views.

Helped 860,168 peers since 2012

Featured Reltio Cloud reviews

RahulSoni

Senior Delivery Architect at Capgemini

Until I work with a customer, I won't be able to recognize the performance regarding the integration of records, especially when records are coming in as a full load or a delta after an initial load. I have to check how it performs in the integration part when pushing the entire data into MDM. Most tools have a downside in this area. So far, I have not faced any other problems regarding Reltio. I just did a certification and the provided hands-on exercises. I didn't find anything concerning, but I would definitely want to use the AI features introduced in Reltio more. The Hands-on Lab in the certification allows you to try out certain AI features.

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Mohd Imran

Senior Consultant at Lumendata

Reltio has two main aspects: one is handled by developers and architects, and Reltio manages the other. Developers and architects are responsible for configuration, developing requirements, and working on the implementation. 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. In cases where attribute values or record counts exceed the standard limits (e.g., more than 20 million records), Reltio support can add additional resources to your tenant. This usually involves extra costs, but it ensures the system remains efficient and scalable. As a developer or architect, you don’t need to manage this process; Reltio support handles scalability and resource allocation.

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Samudra Som

Quality Assurance Test Engineer at Concept Software & Services INC

I was working with Reltio Cloud on a project for a car retail company. This company needed to create a master data repository, a "golden copy," that would consolidate all customer and vehicle information from their various sources. The company had a front-end application in its stores where customers could provide their details and a web page where customers could schedule test drives. All these customer details were captured through different applications and fed into Reltio via real-time and batch processes. My role involved verifying that the ETL processes were working correctly and that the data was being loaded into Reltio properly. I ensured that the MDM was accurate by checking the match and merge rules and that the golden copy of the customer data was correctly created based on these rules. To perform these validations, I used the Reltio UI to log in, sample the golden copies of customer profiles, and confirm that the profiles included all relevant source details and attribute values. I also checked that the attribute values adhered to the survivorship rules established in Reltio.

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Reltio Cloud mindshare

As of July 2025, the mindshare of Reltio Cloud in the Cloud Master Data Management (MDM) Solutions category stands at 18.0%, up from 13.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Cloud Master Data Management (MDM) Solutions

PeerResearch reports based on Reltio Cloud reviews

Type	Title	Date
Category	Cloud Master Data Management (MDM) Solutions	Jul 4, 2025	Download
Product	Reviews, tips, and advice from real users	Jul 4, 2025	Download
Comparison	Reltio Cloud vs Informatica Intelligent Data Management Cloud (IDMC)	Jul 4, 2025	Download
Comparison	Reltio Cloud vs TIBCO EBX	Jul 4, 2025	Download
Comparison	Reltio Cloud vs Stibo STEP MDM	Jul 4, 2025	Download

Title	Rating	Mindshare	Recommending
Informatica Intelligent Data Management Cloud (IDMC)	4.0	26.1%	93%	185 interviews Add to research
TIBCO EBX	4.1	13.2%	89%	19 interviews Add to research

Valuable Features

Reltio Cloud offers real-time synchronization, advanced survivorship, and effective matching. Its intuitive UI supports seamless profile management and data lineage tracking. Users value its customizable nature, reducing implementation time with its low-code capabilities. IDM helps maintain data hierarchy. Unified data management and AddressDoctor enhance location precision. Scalability and support for additional resources ensure efficiency. Regular updates and support contribute to its versatility, making it user-friendly and feature-rich for integration needs.

"The cloud feature is very beneficial, and the scalability performance feature is excellent."
"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."
"It is a scalable product, and the scalability is good. We can configure users."

Room for Improvement

Reltio Cloud experiences downtime during maintenance and heavy processing. Its API struggles with large data volumes and response times. Encoding challenges can lead to duplicate profiles, slowing merging. Improvements are needed in data management and relationship handling. Deployment is arduous and features often lag behind business needs. The user interface and record filtering require enhancement. Downloading data is slow and in JSON, complicating interpretation. Workflow deployment and feature development depend on slow support responses.

"The support team is slow to respond when we need assistance with workflow deployments. We must rely on their availability and contact them to receive the required JAR files."
"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."

ROI

Reltio Cloud users experienced significant returns on investment. Many mentioned improved data management and enhanced operational efficiency, leading to cost savings and increased revenue. Users also appreciated the platform's scalability and real-time data organization capabilities, which contributed to better decision-making processes.

Pricing

The pricing structure of Reltio Cloud can be on the higher side; however, it may be justifiable due to its robust features and benefits. The setup costs can vary, highly dependent on the specific needs and scale of deployment in an organization.

Popular Use Cases

Companies utilize Reltio Cloud for data unification and master data management, creating a single source of truth. It merges and enriches data from various origins, maintaining historical changes. Tasks include governing account processes, performing deduplication, and generating golden profiles. Features like match, merge, and survivorship tools enhance data quality and completeness. Its cloud-native design offers scalability, simplifying data steward tasks with visual monitoring capabilities, making Reltio Cloud effective for managing customer data and internal projects.

Service and Support

Technical support from Reltio Cloud often shows quick response times, though deployment support sometimes experiences delays. Assistance is usually prompt, with tickets acknowledged within minutes. The team is knowledgeable, consulting internal teams when needed. Users appreciate responses in integrating with Salesforce. However, constraints related to workflow deployments have led to slower response times. Overall, the service ranks highly, with room for enhancements, especially in improving deployment assistance and coordination.

Deployment

Reltio Cloud's initial setup is straightforward and user-friendly, requiring no installation due to its SaaS nature. Deployment involves Reltio's support team, with proper configuration essential for user needs. The platform's documentation aids the process, and the low-code environment allows customization through APIs. Migration between environments is seamless, although users may be informed of a brief downtime window. Organizations appreciate the ease of use and support provided during implementation.

Scalability

Reltio Cloud offers notable scalability, efficiently handling large data volumes across various regions. Organizations appreciate its adaptable nature, scoring it highly. With extensive deployment globally, it's favored for its reliability and customization options, though further marketing could enhance its presence. While some require additional resources for optimal scaling, Reltio Cloud operates effectively across numerous users without significant challenges. Expanding its reach through more partnerships could increase customer engagement.

Stability

Reltio Cloud is praised for its stability, rated highly by users. Some mention minor issues, such as bugs in survivorship rules and occasional API drops, but these are addressed by support. Users manage large datasets without significant trouble, though slowdowns can occur during maintenance. Despite being stable and dependable, some rate its stability between eight to ten out of ten, emphasizing frequent use and comparison to other reliable tools like SAP.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Reltio Cloud Buyer's Guide for additional reliable information.