Ataccama ONE Platform was on-premise before but has moved to a hybrid cloud now. Ataccama ONE Platform integrates with other tools or systems in my organization. Ataccama ONE Platform connects with Collibra, which is a data governance tool, and it also connects with cloud platforms, databases, data warehouses, and third-party applications like Snowflake, Microsoft Azure, Google Cloud, Amazon Web Services, and big data environments. Regarding databases, we can connect to DataBricks, Oracle, and Microsoft SQL Server. For third-party applications, we can connect through ServiceNow. Ataccama ONE Platform handles data security and compliance in my organization by using GDPR, HIPAA, and mainly these two frameworks, along with AI governance ensuring privacy through multiple encryptions. For production data, we use data masking and strict access rules. Additionally, we have multiple teams for monitoring, auditing, and policy enforcement. The performance and speed of Ataccama ONE Platform when handling large data sets were a bit difficult initially, but it has improved a lot. It is fine now for handling big data. I would definitely recommend Ataccama ONE Platform to others looking into using it. A tip for new users is definitely to go through the documentation and practice a little about the data quality rules and how to develop them. The UI is very user-friendly and very self-explanatory, so you will understand it well. I would definitely encourage anyone to take Ataccama ONE Platform and use it. I would rate this review a seven.
data engineer at a tech vendor with 10,001+ employees
Real User
Top 10
Dec 10, 2025
There are many features, and I currently do not recall anything else. I gave Ataccama ONE Platform a rating of seven out of ten due to the main reasons being the mastering of the data and the efficiency it has. The one negative point that caused me to reduce the score by three points is due to the not proper handling of huge volume. The negative point I mentioned, specifically, that brought the score down for me is that when there is a huge data reprocessing, the reprocessing of the jobs takes almost more than ten hours to fifteen hours and that disrupts our business load. We cannot do those processing during the business hours and have to wait for non-business hours as it takes ten hours and we cannot have our system down for ten hours. My advice to others looking into using Ataccama ONE Platform would be that if the data is under fifty million or forty million, Ataccama ONE Platform is the MDM tool you might be looking for. It is good for mastering, data quality, and reprocessing. It is not my company that has the business relation, but my client which has a relationship as a partner with Ataccama ONE Platform. I will say, as per the new technology that Ataccama ONE Platform is, it is a great start. Within a few years, it has captured a lot of market, and I am very hopeful that in the next few years it will be the most popular mastering and data quality tool worldwide. I rated Ataccama ONE Platform a seven out of ten.
On a scale of one to ten, I would give Ataccama a high nine. The tool met many of our needs effectively, and the ability to leverage machine learning was particularly advantageous.
It is an ideal choice for companies prioritizing lineage, stringent data policies, and security measures. Specifically beneficial for businesses handling highly secure data like US customer information with policies such as CPNI, its selection is driven by its alignment with business needs. The platform ensures a secure and efficient solution, minimizing complexity compared to alternative products, and proves to be a strong choice when aligned with the unique needs and demands of the project. Overall, I would rate it seven out of ten.
Data analyst at a tech vendor with 10,001+ employees
Real User
Sep 27, 2023
We worked with stakeholders to clean and profile the data so they could easily analyze it. We have some unrestricted data formats, such as XML or JSON. To redeliver this data, we need to create a plan. It is similar to the previous process, but we cannot perform data quality checks on this type of data. We need to create the data in XML Insight to use data quality checks. There are many functions inside the Ataccama, such as fixing grid files. We can read dispute finance data in the web app and generate reports. Currently, we need to create the component or dispute. Then, the data comes into the room in a stable format, and we can easily upload it to change the data quality. Overall, I rate the product an eight out of ten.
Ataccama ONE Platform provides a comprehensive solution for profiling, cleansing, and integrating data with a user-friendly drag-and-drop interface, enhancing data quality and governance.Ataccama ONE Platform enhances data profiling and cleansing with easy configuration and robust integration, such as with Collibra. Users value its drag-and-drop capabilities, supporting mainframe, AI, and machine learning. The platform improves data security through profiling and masking while offering...
Ataccama ONE Platform was on-premise before but has moved to a hybrid cloud now. Ataccama ONE Platform integrates with other tools or systems in my organization. Ataccama ONE Platform connects with Collibra, which is a data governance tool, and it also connects with cloud platforms, databases, data warehouses, and third-party applications like Snowflake, Microsoft Azure, Google Cloud, Amazon Web Services, and big data environments. Regarding databases, we can connect to DataBricks, Oracle, and Microsoft SQL Server. For third-party applications, we can connect through ServiceNow. Ataccama ONE Platform handles data security and compliance in my organization by using GDPR, HIPAA, and mainly these two frameworks, along with AI governance ensuring privacy through multiple encryptions. For production data, we use data masking and strict access rules. Additionally, we have multiple teams for monitoring, auditing, and policy enforcement. The performance and speed of Ataccama ONE Platform when handling large data sets were a bit difficult initially, but it has improved a lot. It is fine now for handling big data. I would definitely recommend Ataccama ONE Platform to others looking into using it. A tip for new users is definitely to go through the documentation and practice a little about the data quality rules and how to develop them. The UI is very user-friendly and very self-explanatory, so you will understand it well. I would definitely encourage anyone to take Ataccama ONE Platform and use it. I would rate this review a seven.
There are many features, and I currently do not recall anything else. I gave Ataccama ONE Platform a rating of seven out of ten due to the main reasons being the mastering of the data and the efficiency it has. The one negative point that caused me to reduce the score by three points is due to the not proper handling of huge volume. The negative point I mentioned, specifically, that brought the score down for me is that when there is a huge data reprocessing, the reprocessing of the jobs takes almost more than ten hours to fifteen hours and that disrupts our business load. We cannot do those processing during the business hours and have to wait for non-business hours as it takes ten hours and we cannot have our system down for ten hours. My advice to others looking into using Ataccama ONE Platform would be that if the data is under fifty million or forty million, Ataccama ONE Platform is the MDM tool you might be looking for. It is good for mastering, data quality, and reprocessing. It is not my company that has the business relation, but my client which has a relationship as a partner with Ataccama ONE Platform. I will say, as per the new technology that Ataccama ONE Platform is, it is a great start. Within a few years, it has captured a lot of market, and I am very hopeful that in the next few years it will be the most popular mastering and data quality tool worldwide. I rated Ataccama ONE Platform a seven out of ten.
On a scale of one to ten, I would give Ataccama a high nine. The tool met many of our needs effectively, and the ability to leverage machine learning was particularly advantageous.
It is an ideal choice for companies prioritizing lineage, stringent data policies, and security measures. Specifically beneficial for businesses handling highly secure data like US customer information with policies such as CPNI, its selection is driven by its alignment with business needs. The platform ensures a secure and efficient solution, minimizing complexity compared to alternative products, and proves to be a strong choice when aligned with the unique needs and demands of the project. Overall, I would rate it seven out of ten.
We worked with stakeholders to clean and profile the data so they could easily analyze it. We have some unrestricted data formats, such as XML or JSON. To redeliver this data, we need to create a plan. It is similar to the previous process, but we cannot perform data quality checks on this type of data. We need to create the data in XML Insight to use data quality checks. There are many functions inside the Ataccama, such as fixing grid files. We can read dispute finance data in the web app and generate reports. Currently, we need to create the component or dispute. Then, the data comes into the room in a stable format, and we can easily upload it to change the data quality. Overall, I rate the product an eight out of ten.