Azure Cosmos DB vs Informatica MDM

• Turn-key geo-redundancy with multi-master writes is unprecedented and unparalleled in the industry!
• Guaranteed low latency makes Cosmos DB an excellent fit for most of our performance-intensive situations.
• The tunable consistency model simplifies so many challenges in distributed systems engineering that otherwise require advanced knowledge of computer science topics. I continue to be impressed at how Cosmos DB has abstracted away so much complexity.

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• Fuzzy matching in built features are excellent.
• Data workflow creation process is smooth.
• Creating child parent relation using UI is excellent.

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• Expensive, so be careful of the use case.
• We had a thought time migrating from traditional DBs to Cosmos. Azure should provide a seamless platform for the migration of data from on-premises to cloud.

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• As far as I can see it exclusively uses the concept of "point to point" connectivity for fetching data. What this means is that Informatica MDM must have "knowledge" of all other systems, and keeps a direct connection to these systems. This is bad practice in environments that would benefit more from a microservice architecture. In those cases, it's especially bad, because not only does this break the SOA architecture, but it also "promotes" the idea of "point to point" connections among developers. The "point to point" mentality is the single most important danger to any SOA environment.
• It's very hard to use! The learning curve is really steep. Also, it's really boring by design: having to open a large application, learning all of its intricate details, maintaining all connections and scheduled data load moments means you need developers that are seriously devoted to this application. This means those developers are kept from working in the field they know best and caused them to become developers in the first place, which is Oracle/Database developing. This makes it hard to find employees willing to perform this function.

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• Azure Cosmos DB may be expensive on its own, but it was cheaper than increasing the size/power of our VMs running SQL Server instances enough to keep up with the volume and velocity of the unstructured data.
• We got the JSON data out of our SQL Servers and they quit tipping over.

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• Easy pulling many project data across other data management solutions through the entire infrastructure.
• Useful and powerful software for data mining and its capability for real-time data analytics production is effective.
• Informatica MDM tools are reliable like its reporting features and the data security offered is amazing.

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