Reltio Data Cloud™

We are currently using Reltio Cloud . We are consultants based in Europe, and we are using it for ourselves and our clients.

The cloud feature is very beneficial, and the scalability performance feature is excellent. There are many features available for integrations, though I am not part of the integration team. The UI part is very user-friendly, and it functions as a low code, no code platform. As someone who is not a coder, I find the platform easy to use.

We are quite satisfied with the solution. The only issue we face is with the workflow feature. Every  time we need to deploy our workflows, we must contact the Reltio Support Center. We have to rely on their availability and write to them to receive the required JAR files. They are slow to respond to these requests.

We have been using the solution for approximately two years.

We did not face any deployment issues.

We are quite satisfied with the stability.

We did not face any scalability issues.

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. This has been a recurring issue we have encountered several times. Apart from this concern, the service is acceptable.

Neutral

We previously used Informatica years ago, but it was an expensive option, so we switched to TIBCO EBX . Due to internal problems at TIBCO, we decided to switch to another MDM  platform. Since we knew the founder of Reltio Cloud , we were offered to try their solution. We are now very satisfied with Reltio Cloud and intend to continue using it.

Our team consists of 35 plus members spread across India, Vietnam, and Portugal in Europe. The solution runs on AWS  Cloud and is a well-known platform. TIBCO EBX  has suffered some losses last year. This review rates Reltio Cloud as 7 out of 10.

Reltio is a master data management tool. While other competitors are in the market, Reltio stands out as one of the early cloud-native MDM solutions. Before Reltio, many MDM products were on-premises solutions, such as those from IBM and Informatica. Reltio is purely cloud-based.

With Reltio, there’s no need to maintain infrastructure or set up a separate database for customer data, as everything is managed in the cloud. This setup simplifies things for data stewards and the data governance team, allowing them to visually monitor and assess data quality through various charts and dashboards.

Reltio also offers features like match, merge, and survivorship tools, which are standard in MDM solutions. Its cloud-based approach has proven user-friendly and scalable compared to other MDM tools.

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.

Reltio Cloud provides a couple of options for developers. One way is by working with an internal JSON file where changes can be made and reflected directly in Reltio. The second method is through the Reltio UI, where developers can modify components like the UI, data model, or data quality. Initially, the UI was limited in features, and although it has improved, not all functionalities are available through the UI yet. Reltio focuses on enhancing the UI to make it more user-friendly and developer-friendly. This transition aims to simplify configurations and support no-code and low-code development.

I have been using Reltio Cloud for five years.

Reltio Cloud is very stable and reliable. When certain challenges arise, or some features seem unavailable, we contact Reltio for support. From a stability perspective, it is highly dependable because it's hosted in the Cloud, ensuring consistent uptime and availability.

I rate the solution’s stability an eight out of ten.

It takes time to load when there are a lot of sources contributing data to a particular record.

I rate the solution’s scalability an eight out of ten.

The response time is quite fast. They typically acknowledge tickets within five to ten minutes. While their knowledge is generally good, issues sometimes arise due to product limitations rather than a lack of expertise. When such limitations are identified, they involve their internal engineering team to address the issue. This may result in a bug fix or a product enhancement that could take a few months to be included in a future release.

I haven't observed any significant knowledge gaps in their support. If junior resources handle a ticket, they involve more experienced developers as needed. 

Positive

The initial setup is straightforward. When migrating components, such as data models, UI models, data loader mappings, or data exports, you can export them from the lower environment and import them into the higher environment without downtime. Although Reltio Cloud remains operational during migration, we recommend informing end users of a potential downtime window of a couple of hours. This precaution manages expectations and addresses any unforeseen issues that might arise, even though the platform is generally expected to function normally during this period.

Reltio stands out because it offers extensive real-time integration capabilities. It can be easily configured with analytics tools like Databricks and Snowflake, allowing seamless integration. While Reltio provides simple charts and dashboards for data visualization, it also offers an optional analytics tool. You can use or integrate Reltio's analytics tool with other tools like Snowflake. With the Snowflake connector, any changes made in Reltio are reflected in Snowflake in real-time, ensuring quick updates.

For instance, if a team has a member with extensive knowledge of Intellitivo, this can be beneficial. In master data management projects, match and merge rules are crucial, and having experience in this area is essential. Whether someone has experience with Reltio or another MDM product, familiarity with match rules is important. However, training and experience are also necessary to ensure accurate match rules. Without this expertise, the project could face significant issues. As master data management projects can be quite complex, prior experience is valuable before starting with Reltio.

I recommend Reltio to anybody who wants to implement their master data management project.

Overall, I rate the solution an eight-point five out of ten.

Reltio Cloud is used to handle big data, such as customer data. It is very useful for managing data and is mainly known for the unification of data, where the main purpose is matching and merging data from different sources. When both data sets seem identical, we design rules to determine if two accounts or customers are identical. Those accounts will be automatically merged if the rule is satisfied. If the match is only partial, some criteria are met, and the case is flagged as a suspect, it is sent for manual review. This way, we unify the overall data for accounts, customers, or other entities.

For example, a customer with the same name and phone number can be automatically merged into a single entity, along with every other attribute related to that customer. Different approval options exist for merging, such as deciding which customer number or name should be visible to the client. The key feature of Reltio is matching and merging, allowing us to unify data. After that, we can edit, add new attributes, or create new ones by updating the configuration.

We need to write code to create a match rule and everything, but we can still create one without writing code. Even someone working with Reltio for the first time can easily create a complex match rule using their UI.

We can customize anything, including the match rule, server settings, and UI. It’s more like a versatile tool. We also get regular updates to the UI synchronization, and they provide more features with each update, which makes it even more helpful. They also offer support. So when we encounter issues, we can directly contact them, and they will provide support.

There are many issues. For example, sometimes, errors related to tokenization occur while creating a match rule. Many tokens need to be created when setting up the match rule, and we need to influence that process so that no digital tools are created incorrectly. 

Another issue is that we are working with around six tenants. Sometimes, there are differences in the UI between tenants with product data. Recently, we had an issue with our lookup (IDM) values. We had around 37 IDM values, but only 20-22 records were shown in the dropdown when creating an app. We had to type and search for the rest of the records. When creating customer accounts, the client won’t necessarily know the exact IDM value name, so they need to select it from the dropdown.

I have been using Reltio Cloud for two years.

It is stable. If you find any issues, we can contact them for support. I haven't encountered any issues because they handle a huge amount of data—two, three, or even four million records in a single tenant. Sometimes, we might experience some slowdown on the client side.

It is highly scalable. It depends on the different tenants. We support tenants in EMEA, finance, and the US. For the finance tenant, around 10 to 15 users perform regular activities. We have approximately 50 team members working continuously on the platform for the EMEA tenant. 

Technical support is quick, especially when they know the solution immediately. However, they may sometimes face difficulties and must consult with the internal development team before finding a solution. 

Positive

Deployment is quite straightforward. We can easily purchase the subscription product. Reltio provides several subscription plans, each specifying the features included in a particular plan.

It is cost-effective.

We can have data from different sources as we want. Reltio is like a database where the data comes from one source and moves through another medium. In our case, we are using MuleSoft as a medium between our systems and Reltio. Sometimes, we send large amounts of data, like 10,000 or 50,000 records. Reltio can handle however much data we send, but there is always a limitation with MuleSoft. While MuleSoft has limitations, Reltio doesn't, and it can process large amounts of data.

Reltio provides three indicators for monitoring performance: green, yellow, and red. If the tenant is working as expected, it shows green. When a high volume of data is processed, it may show yellow, so we should temporarily restrict usage. Once the data load is processed, it turns green, ensuring performance isn't reduced. If the tenant turns red, it’s a high alert state, and we need to contact Reltio.

I’ve worked with Reltio for the past two years and haven’t seen the tenant turn red. It turns yellow when processing around 15,000 to 30,000 records from a source, but it goes back to green after about 30 minutes to an hour. Overall, the data broker works smoothly, and we haven't faced any significant difficulties while handling most of the data.

They have provided something called Reltio Integration. It's a platform they introduced about four to five months ago. It’s AI-based and helps users quickly solve their queries. Newcomers working with Reltio who might have questions or doubts about the UI can easily find answers through the AI or contact the support team. The AI is also configured to create manuals and has been successfully integrated. They are also continuing to work on improving the AI tool further.

It doesn’t require maintenance at our end. During those times, we need to avoid using the system. 

I highly recommend it. One major benefit is that they provide custom Java utilities. These utilities allow us to extract or load data in bulk, which would otherwise be difficult to manage individually. With these tools, we can load or extract data as needed.

Overall, I rate the solution an eight out of ten.

It is a master data management platform. There, we can store the data and enrich it from multiple sources. For example, we have one set of data. For that particular set, if we need to add details from multiple sources like ABC, we can do that through Reltio.org.

The best thing is the unified data management capability. We can consolidate data from multiple sources and create a single viewer source for client requirements.

We can see that AI is taking care of many tasks. Reltio is also trying to combine AI capabilities with its platform. However, there is still a need for improvement. We need manual data modeling and configuration to tailor the platform to our requirements. Despite this, they are already integrating AI capabilities into the Reltio platform. I have seen this in webinars and community shows, and they are progressing.

I have been using Reltio Cloud for three years.

I didn't face any stability issues till now.

It is a cloud-based platform, which means it offers high scalability and performance. In my previous company, we were able to load more than ten million records into the platform.

More than fifty members were using this solution.

For some tickets, I contacted Reltio.

I started with which was the unification of the data, for which they proposed Reltio. When handling duplicate records, Reltio provides a highly effective matching and merging process that is more efficient than on-premise or other master data management platforms.

The implementation of Reltio Cloud is straightforward and user-friendly. It is a low-code platform, meaning minimal coding is required. We can purchase the Reltio platform and model the data according to our needs using the graphical UI. The configuration can be done directly within the UI.

Reltio is a bit costly.

The Reltio product management will maintain everything.

I have seen many data management platforms like Informatica, Atacama, and SQL sensor. Among these, Reltio is the most efficient and the easiest to use.

For someone starting for the first time, if they are using Reltio, there is a website called Reltio Learn. There, we can find a course to help us understand how to configure and use the platform effectively.

Overall, I rate the solution a nine out of ten.

I use Reltio Cloud to create entities and manage data. It allows for managing data hierarchies using tools like RDM, Data Modeler, and other Reltio features.

The most valuable feature is its IDM. This feature is particularly valuable for maintaining the data and its structure and managing the data hierarchy. It allows businesses to effectively manage the data flow from RDM to MDM and between MDM and RDM. This capability is the most important feature.

Whenever there is a problem, the Reltio support team has been there to help me overcome these obstacles. 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.

Different business models have varying requirements. When a new feature development is needed from Reltio Cloud, it takes four to five months, or we must wait for the next major release. The development is not tenant-specific because each business requirement affects all tenants equally.

I have been using Reltio Cloud for three years. 

There is currently a bug going on in this. In the survivorship rules configuration, the rules we set up sometimes do not display correctly in the UI. This appears to be a bug in Reltio. For example, when multiple survivorship rules are defined for a single attribute, they are not accurately reflected in the UI. Besides that, Reltio is a stable platform, though it can become slow during maintenance periods.

More than 300 people are using this solution. It's a scalable product, and the scalability is good. We can configure users.

The support team is good. The support ticket system is also really helpful.

Positive

The initial setup is straightforward. Everything is provided in the documentation.

It's a beautiful application for creating master data. It is a wonderful platform. If you are looking to maintain and manage golden records, it manages the master data.

If you're looking to outsource your data management and create a golden record, Reltio Cloud is a beautiful platform to consider. It offers a plethora of features that you can utilize. Reltio Cloud is also user-friendly, with comprehensive documentation and training available to help you get started.

Reltio Cloud makes it easy for users to learn through their platform, offering multiple courses, training, and certifications. These resources are readily available, enabling Reltio users to go through the courses and learn from scratch. Even though I was a beginner at one point, I have learned and grown with these materials' help.

Data accuracy is better maintained in Reltio Cloud through its features as a Cloud MDM platform. One of its key features is RDM. This feature allows us to input data as needed manually, maintain the data's structure and hierarchy, and ensure high accuracy. The RDM feature effectively manages the accuracy and integrity of reference data in Reltio Cloud.

Overall, I rate the solution an eight out of ten.