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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Perforce Delphix
Score 9.9 out of 10
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Delphix, from Perforce, provides test data management for DevOps. The Delphix DevOps Data Platform automates data security, while rapidly deploying test data to accelerate application releases.
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
The other competitors in the market are Solix and Data Global and SAP. The pricing and the UI are much simpler and easy to put Delphix in the top spot.
Delphix is a good software as it notifies customers of bugs and features striking a good balance on sending the right amount of information and type of communication. As a user myself, I feel like Delphix has a simple user interface that makes it easy for all the users. Unlike …
There are many first generation test data management tools that use SQL scripts behind the scenes to create small subsets of data for testing of functional subjects within the database (i.e. Claims or Membership, etc.). Delphix differs by operating at the data block level on …
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.
REST API calls are available for all Delphix activities. Delphix makes it simple to move data between production to other test or QA environments. Through the replacement with a dummy, yet realistic data of the customer or patient data, you reduce the danger of data breaches for any and all copies of data you produce.
User/PWD management in the Delphix Self-Service web page does not support LDAP nor AD security groups. This creates a hassle if you have a large number of self-service users to create and maintain passwords for. The fix for this is supposed to be the new Central Management tool. We just ended up creating jobs in Jenkins (which supports groups) using the python-examples scripts from the Delphix Github.
Reporting on storage and performing capacity planning is not easy when running many (20+) virtual databases. The latest release and new Central Management tool are both supposed to storage reporting much better.
Delphix Data Masking tool could handle masking of complex flat files better. We ended up creating a tagger and un-tagger to add/remove metadata to enable Delphix masking to be able to mask our complex flat file. Would have been nice if that capability was already built into the masking tool.
Delphix support could be a little better. It seems sometimes we bounce through support engineers until we get one that understands our issues and know how to fix it.
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.
There are many first generation test data management tools that use SQL scripts behind the scenes to create small subsets of data for testing of functional subjects within the database (i.e. Claims or Membership, etc.). Delphix differs by operating at the data block level on disk, sitting between the db engine (Oracle, SQL, etc.) and the physical storage. This allows Delphix to provide full size virtual databases for the cost of not much more than enough storage for a single prod sized copy. Intelligent block sharing also enables full db refreshes and rewinds in minutes, not hours or days, all without having to maintain any schema relationship information which is required in first-gen TDM tools. Delphix does not perform any SQL functions so its not for extract, transform, load or creating smaller subset databases. We figured why subset the data if we can get a full virtual copy for no additional cost!