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.
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.
The solution's data accuracy is quite good, and I rate it a nine out of ten. Reltio Cloud also helps us meet data compliance policies. I would recommend the solution to other users if their use case involves a master data management process. However, I would not recommend Reltio Cloud for data analysis. The solution has a classic beginner tutorial, and anyone can use it. Reltio Cloud has integrated some AI capabilities in the management aspect, which gives us improved metrics and analysis reports of our data. However, the AI integration is not very extensive. Overall, I rate the solution a nine out of ten.
Senior Information Technology Analyst at a pharma/biotech company with 10,001+ employees
Real User
2024-06-20T16:22:37Z
Jun 20, 2024
The AI features are helpful. I do not have to go through the documentation much. I will recommend the product to others. People who want to use the tool can go through the modules and the documentation. They are very helpful. Overall, I rate the solution a ten out of ten.
Architect at a computer software company with 5,001-10,000 employees
Real User
Top 10
2024-05-21T12:33:00Z
May 21, 2024
The real-time data capabilities of Reltio Cloud are excellent. This is what people want and what businesses need. When a change is made or new customers are onboarded, the organization's deduplication and data sharing happens with fewer delays. Overall, I rate the solution an eight out of ten.
There is no maintenance required for the solution because it is managed in the cloud. There are several factors to consider when evaluating the solution. Firstly, its scalability is an essential aspect to be analyzed. Additionally, it is imperative to assess the solution's security and availability across various regions. Above all, the pricing strategy must be taken into account when comparing it with its counterparts. Everyone desires a cost-effective and trustworthy solution; therefore, the cost will be the primary factor considered while making the decision. The most significant lesson that I have learned through using Reltio Cloud is the importance of having an MDM solution. MDM is an essential requirement since data plays a vital role in every business process. The ability to process data, manage multiple systems and sources, and produce reliable and accurate data from different source systems is incredibly beneficial. MDM adds significant value to businesses that rely heavily on data. I rate Reltio Cloud a seven out of ten.
The solution is easy to use, configure on the L3 level, and maintain with regard to external queues. The solution has good integration and speed for API execution. There is good availability for the software, UI and records. There really is no negative to the solution except for occasional downtime. When you save or do an API call, the service sometimes takes time to index or be available so be sure to test it. I rate the solution an eight out of ten.
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.
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.
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.
The solution's data accuracy is quite good, and I rate it a nine out of ten. Reltio Cloud also helps us meet data compliance policies. I would recommend the solution to other users if their use case involves a master data management process. However, I would not recommend Reltio Cloud for data analysis. The solution has a classic beginner tutorial, and anyone can use it. Reltio Cloud has integrated some AI capabilities in the management aspect, which gives us improved metrics and analysis reports of our data. However, the AI integration is not very extensive. Overall, I rate the solution a nine out of ten.
The AI features are helpful. I do not have to go through the documentation much. I will recommend the product to others. People who want to use the tool can go through the modules and the documentation. They are very helpful. Overall, I rate the solution a ten out of ten.
The real-time data capabilities of Reltio Cloud are excellent. This is what people want and what businesses need. When a change is made or new customers are onboarded, the organization's deduplication and data sharing happens with fewer delays. Overall, I rate the solution an eight out of ten.
There is no maintenance required for the solution because it is managed in the cloud. There are several factors to consider when evaluating the solution. Firstly, its scalability is an essential aspect to be analyzed. Additionally, it is imperative to assess the solution's security and availability across various regions. Above all, the pricing strategy must be taken into account when comparing it with its counterparts. Everyone desires a cost-effective and trustworthy solution; therefore, the cost will be the primary factor considered while making the decision. The most significant lesson that I have learned through using Reltio Cloud is the importance of having an MDM solution. MDM is an essential requirement since data plays a vital role in every business process. The ability to process data, manage multiple systems and sources, and produce reliable and accurate data from different source systems is incredibly beneficial. MDM adds significant value to businesses that rely heavily on data. I rate Reltio Cloud a seven out of ten.
The solution is easy to use, configure on the L3 level, and maintain with regard to external queues. The solution has good integration and speed for API execution. There is good availability for the software, UI and records. There really is no negative to the solution except for occasional downtime. When you save or do an API call, the service sometimes takes time to index or be available so be sure to test it. I rate the solution an eight out of ten.