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.
It is suited for taking data from multiple sources simultaneously like for example the streaming data of transactions in retail stores. It processes the data at a pretty high pace and gives high results every time. It is less appropriate sometimes because it hangs sometimes and does not have a large user community available over the internet.
Integrability with different data sources. The provision of native connectors is complete and there is the possibility of implementing new ones.
Flexibility in power sources, thanks to the connectors with the main DB and the integration of all types of formats (XML, CSV, JSON, etc.)
End-to-end process with the SAS suite. Products such as SAS Visual Analytics allows the visualization of the data produced, or Visual Data Mining and Machine Learning which allows you to perform advanced analysis.
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.
The main negative point is the use of a non-standard language for customizations, as well as the poor integration with non-SAS systems. However, there is no doubt that it is a high-performance and powerful product capable of responding optimally to certain requirements.
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.
Overall I am satisfied with this product as it meets my all requirements and made my life easy for analyzing the data and especially the streaming data.
Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.
