The biggest use case for my team, as we are a BI team with six data engineering teams, was to connect to Microsoft Azure DocumentDB, get the data in the format that my team's application WebFOCUS will utilize, and read that data while adding coding and reformatting the data according to WebFOCUS standards. This allows us to publish reports so that all stakeholders of our organization, such as Bank of America, Bank of Scotland, and all global banks in the case of Mastercard, can access these reports. The primary source is the data coming through this database, and then WebFOCUS will connect to it, get the data into it, reformat it, and add coding to publish reports in different formats, whether graphical, analog, digital, bar chart, histogram, or pie chart.
My main use case for Microsoft Azure DocumentDB is when we modernize applications that use MongoDB on-premise and move them to Azure using DocumentDB. By doing this migration to Microsoft Azure DocumentDB, we avoid having to maintain servers, we have greater resilience in terms of the database and higher performance, where we can scale infinitely and have very good cost control and management. Microsoft Azure DocumentDB allows us to scale quickly during peak load times, without having to provision the servers to the maximum peak as was done previously with on-premise servers. The migration from MongoDB has not been complicated; it just needs a small adjustment.
Cloud Advisor at Digital Cognitive Consultancy Services LLP
Real User
Top 5
Aug 14, 2026
I usually recommend Microsoft Azure DocumentDB for medium-sized companies with a PC scale of less than 1,000 PCs, so it works pretty well with them. It might be a little bit expensive for smaller companies; the tradeoff is between performance and cost, as a higher performance system can deliver what they want in a few seconds rather than a few minutes, which makes sense.
Microsoft Azure DocumentDB is a scalable, fully managed NoSQL database service designed to handle demanding workloads through a schema-free document data model.It is tailor-made for applications requiring scale and performance, supporting JSON documents with rich querying capabilities. The service integrates easily with Azure's ecosystem, offering automatic indexing and multi-region replication, which may be appealing for businesses focused on global reach and real-time analytics. DocumentDB...
The biggest use case for my team, as we are a BI team with six data engineering teams, was to connect to Microsoft Azure DocumentDB, get the data in the format that my team's application WebFOCUS will utilize, and read that data while adding coding and reformatting the data according to WebFOCUS standards. This allows us to publish reports so that all stakeholders of our organization, such as Bank of America, Bank of Scotland, and all global banks in the case of Mastercard, can access these reports. The primary source is the data coming through this database, and then WebFOCUS will connect to it, get the data into it, reformat it, and add coding to publish reports in different formats, whether graphical, analog, digital, bar chart, histogram, or pie chart.
My main use case for Microsoft Azure DocumentDB is when we modernize applications that use MongoDB on-premise and move them to Azure using DocumentDB. By doing this migration to Microsoft Azure DocumentDB, we avoid having to maintain servers, we have greater resilience in terms of the database and higher performance, where we can scale infinitely and have very good cost control and management. Microsoft Azure DocumentDB allows us to scale quickly during peak load times, without having to provision the servers to the maximum peak as was done previously with on-premise servers. The migration from MongoDB has not been complicated; it just needs a small adjustment.
I usually recommend Microsoft Azure DocumentDB for medium-sized companies with a PC scale of less than 1,000 PCs, so it works pretty well with them. It might be a little bit expensive for smaller companies; the tradeoff is between performance and cost, as a higher performance system can deliver what they want in a few seconds rather than a few minutes, which makes sense.