Denodo vs. Informatica Cloud Data Governance, Access and Privacy

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

The Informatics vision is already determined and with the relationships already configured, or that plasters any new type of vision or relationship between the Assets. As a result, a pedigree diagram is poor and limited with the availability of information on the screen or in reports for consultation and decision making. It has an approval and maintenance workflow that is also limited to assets already made available only by Informática. It will not be possible to see the connection of a technical, functional, and documentary line in a single flow. It allows the registration of all data referring to a DPIA and LIA, but it does not generate a report that allows the aggregation of this set of information in a single place. The tool makes information available to support a decision regarding the DPIA and LIA, but it does not make it available in a unified way as in a report.

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

• automated sensitive field detection
• replace critical data with dummy but real-looking data
• threat detection
• role based access

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

• High Complexity, requires training.
• As it does not allow customization in relationships such as information separately in visual form and even in other tools of the Informatics group such as EDC.
• Navigation is complex.

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

Overall experience with Axon is average and it is a very manual product. Axon is a very good tool for data governance. User-friendly interface and is integrated with multiple systems.

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

• risk mitigation
• data loss prevention
• role based data access

Incentivized