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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Denodo
Score 8.0 out of 10
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Denodo is the eponymous data integration platform from the global company headquartered in Silicon Valley.
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
Denodo is an excellent tool for data virtualization because
of its virtualization and cache capabilities, which aid in solving challenging
issues. In our company, the Denodo Data Virtualization platform has proven to
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.
Denodo allows us to create and combine new views to create a virtual repository and APIs without a single line of code. It is excellent because it can present connectors with a view format for downstream consumers by flattening a JSON file. Reading or connecting to various sources and displaying a tabular view is an excellent feature. The product's technical data catalog is well-organized.
Caching - but I am sure it will be improved by now. There were times when we expected the cache to be refreshed but it was stale.
Schema generation of endpoints from API response was sometimes incomplete as not all API calls returned all the fields. Will be good to have an ability to load the schema itself (XSD/JSON/Soap XML etc).
Denodo exposed web services were in preliminary stage when we used; I'm sure it will be improved by now.
Export/Import deployment, while it was helpful, there were unexpected issues without any errors during deployment. Issues were only identified during testing. Some views were not created properly and did not work. If it was working in the environment from where it was exported from, it should work in the environment where it is imported.
Denodo is a tool to rapidly mash data sources together and create meaningful datasets. It does have its downfalls though. When you create larger, more complex datasets, you will most likely need to cache your datasets, regardless of how proper your joins are set up. Since DV takes data from multiple environments, you are taxing the corporate network, so you need to be conscious of how much data you are sending through the network and truly understand how and when to join datasets due to this.
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.