Data Virtuality, headquartered in Leipzig, offers two products to solve data integration and management problems in a tailored way that best suits data teams in the fast-paced world of data. The Data Virtuality Platform combines data virtualization and data replication, Data Virtuality Platform provides data teams the flexibility to always choose the right method for the specific requirement. It is an enabler for Data Fabric and Data Mesh by providing the self-service capabilities and data…
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Oracle Data Masking and Subsetting
Score 8.0 out of 10
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Oracle Data Masking and Subsetting is designed to help database customers improve security, accelerate compliance, and reduce IT costs by sanitizing copies of production data for testing, development, and other activities and by discarding unnecessary data.
Data Virtuality Platform's best and most unique feature is that it is SQL-based, giving us flexibility when working with our data that other marketing integration pipeline tools couldn't provide. Our main benefits are the short time it takes to connect to our data sources and the flexibility of the virtual SQL layer to meet our end users' data needs. It paves the way for us to tap into various data repositories, extract the data contained within, and examine it. It allows us to access information, generate actionable reports, and make data-driven decisions. However, inadequate data governance rules and a complex configuration process make data connectors challenging.
The tool is excellent when you need to provide all the details about your clients, yet hide their identity - all while maintaining the referential integrity of the data (so child-records of the masked parent record and maintain the same fake ID of the parent).
It offers several ways in which you can mask your data; for example, you can choose to replace all names with "real fake names", or choose to replace all SSNs with existing SSNs, but randomly assigned. You control the algorithm.
It works on non-Oracle databases as well (in our case, we use it for both Oracle and SQL/Server).
The overhead is minimal (it doesn't take long to run, and it doesn't consume too many system resources.
Data Virtuality Platform has powerful transformation and scheduling capabilities combined with the best support team. A virtual data layer that supports SQL procedures is a game changer. Data Virtuality has made data management more efficient. It lets us access various data sources, extract, and analyze data. The short time it takes to connect to our data sources and the flexibility of the virtual SQL layer allows us to meet our end users' data needs.
We also looked at Delphix: the tool was quite powerful, easy to use, and competitive from a cost standpoint. However, since our entire data warehouse environment is built on the Oracle technology stack, it made sense to us to use the Oracle product here, as it integrates very well with other Oracle database and ETL products.
We have many compliance regulations we need to adhere to. Without this tool, we were always taking a risk of exposing client information, and get penalized by the State of the Feds (the financial consequences are significant).
So while the tool doesn't save us money directly, it greatly reduces the risk we had been taking all these years. To some degree, this is much like an insurance policy.
Given the above, it also allows us to share information with other departments/agencies, in situations where before we simply couldn't take the risk of exposing client information.