Denodo vs. Microsoft Azure IoT Edge

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.

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Deployment of mission critical business support solutions particularly those that support virtual learning and video conferencing environments. This is because they help organisations such as the university to effectively transition to a digitally compliant organisation.

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• 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.

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• It works even if there is no internet at client location. It will record all the generated data and only send them to cloud storage when there is internet connection.
• It allows you to bring cloud functionality down to Edge location in the form of docker container.
• It also supports two way communication from device to cloud and vice-versa.

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• 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.

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• For some reason, the containerized architecture was also making this very hard
• Had some issues when debugging edge modules, needs a professional grade remote debugging
• Industrial automation still requires attention. OPC-UA was good but Modbus or custom PLCs etc was painful to set up

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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.

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Most of the time it works perfectly, does not require any attention, but when there is a problem, it's really hard to diagnose it. I think the documentation for the positive scenarios are good on the Microsoft side, but for negative scenarios, I don't think there is enough community help out there, in my opinion.

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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.

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

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The reason Behind this is the cost, as Microsoft provides solutions and integrations of services cheaper than AWS.

• 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.

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Independently Invited by TrustRadius

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• Very valuable return on investment for IT capex committed to the deployment
• Improvements in overall organisational efficiency and agility
• Repositioning the organisation to become digitally transformed

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info