Likelihood to Recommend 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.
Read full review It helps our BUs analyze data and create dashboards they can understand. While slowing down with a large database, it becomes less helpful. In my experience, it is excellent in consolidating information from several sources for analysis, decision-making, and knowledge gaps. Excellent at managing information access.
Read full review Pros Database Agnostic: You can easily connect to different environments and mash up data sets. The "magic" of data virtualization: No data is created, so data is reported in near-real-time to end users. It's easy to use UI for developers. You just connect to a data source, create tables, and join them to other datasets. Read full review It integrates well with our current ecosystem of SAP products, like HANA. It provides end-to-end machine learning operations, with tools for the complete model life cycle. It has a simple user interface for novice users, with complex tools also available for power users. It builds on SAP Data Hub, providing all the ETL functions of that tool with additional machine learning functionality. It can run in the cloud, no on-premise software management needed. Many programming languages are supported, it provides a sandbox environment for the user to develop in whichever style they prefer. SAP is very actively developing and improving it. Read full review Cons 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. Read full review Data transfer speed tends to be slow when there is poor internet connection since SAP Data Intelligence don’t synchronize data while offline. However, this is not vendor fault, that’s why we have implemented robust wireless technology internet connection in our organization. Read full review Likelihood to Renew Allow collaborations among various personas with insights as ratings and comments on the datasets Reuse knowledges on the datasets for new users Next-Gen Data Management and Artificial Intelligence
Read full review Usability Denodo is very easy to use. It has a user-friendly drag and drop interface. I'm not a fan of the java platform it resides on.
Read full review Good tool with lots of potential, but I still see a lot of room for improvement, e.g. when it comes to debugging functionality to understand exactly where pipelines fail and what the data at that point looks like (similar to BW debugging). Also, I am missing SAPs standard machine learning libraries (Python) to be pre-installed, among some other general usability improvements.
Read full review Performance 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.
Read full review Support Rating Initially we struggle to get help from SAP but then dedicated Dev angel was assigned to us and that simplify the overall support scenario. There is still room of improvement in documentation around SAP Data intelligence. We struggle a lot to initially understand the feature and required help around performance improvement area,
Read full review Alternatives Considered Denodo is simple and easy to use. Highly recommended unless you have huge volumes of data
Read full review One of the reasons to pick SAP Data Intelligence is the speed and security it provides, in addition to the excellent support it provides. It is also compatible with all popular databases, which is another reason to choose it.
Read full review Return on Investment It is a huge advantage that we can connect to many different databases to provide data rapidly and accurately. It has proven to be a valuable environment for deploying data virtualization solutions, and its user community is active in finding and fixing issues. Read full review Automation of data management slashed tasks by over 60% in most departments for the first 8 months. Metadata catalogs have enabled us to categorize data from disjointed sources in one place. It runs multiple ML models which enhances flexibility when managing data. Read full review ScreenShots SAP Data Intelligence Screenshots