A new report highlights the need for advanced database platforms to process and analyze ever-increasing volumes of data and ...

(In this case, it was MongoDB.) Under what circumstances would a SQL database have been a better ... and satellite imagery look to analyze the unique types of data they're collecting.

Unlike relational databases such as SQL Server, Oracle ... BSON also allows MongoDB to support data types—namely int, long, date, floating point, and decimal128—not represented in JSON.

is in leaving the ability to run SQL on top of the same data. Now, instead of having to choose between the difficult task of sharding out MongoDB or choosing the more robust by slower SQL ...

MongoDB has supported a SQL “bridge” for some time. The MongoDB BI connector provides a means by which business intelligence tools can read MongoDB data via SQL. The BI connector appears to SQL ...

There are several third-party alternatives to the MongoDB BI connector. The Apache Drill project provides a SQL engine that can query across multiple disparate systems, both SQL-based and NoSQL. Drill ...

“By design, the MongoDB database architecture employs a nested data schema. Now data scientists can reap the performance benefits of that storage approach, yet analyze their data via a familiar SQL ...

In typical SQL, data is spread across ... percentage of them have achieved the type of scale that we commonly see with enterprise-specific applications. MongoDB has to spend high amounts of ...