Denodo vs. Oracle Data Service Integrator

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.

Incentivized

Once Oracle Data Service Integrator is set up properly, it is quite simple to snatch data from a myriad of disparate sources and put them into a single repository. Due to cost factors, it is not for the faint of heart; however, if you can handle it, the benefits will quickly outpace the initial investment. To take full advantage of the power of ODSI, I would recommend the training that Oracle provides.

Incentivized

• 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.

Incentivized

• Very easy to use. Very easy to just grab data when needed.
• Very robust and has so many features to move and transform data.
• Functionality is very easy to implement with other Oracle data products.

Incentivized

• 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.

Incentivized

• If not bundled with other products, the price can be prohibitively expensive
• SAP connectors tend to be a little expensive and slightly difficult to use
• The audit module had some difficulties debugging failed instances

Incentivized

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.

Incentivized

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.

Incentivized

Denodo is simple and easy to use. Highly recommended unless you have huge volumes of data

Incentivized

While we tested and evaluated multiple data service providers, we came to choose Oracle Data Service Integrator since our infrastructure was so heavily dependent on Oracle software. The implementation would be easier and the difference in the number of features and performance wasn't enough to sway us in another direction.

Incentivized

• 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.

Incentivized

• It provided terrific bulk data movement and data transformation services which we desperately needed
• It allowed to reduce development costs and lower the total cost of ownership among disparate architectures
• The enterprise edition's ELT allowed us to generate native code for wildly varied RDBMS

Incentivized