In the new world of unstructured big data, this is good news. Standard SQL databases are not replaced by NoSQL approaches like MongoDB, they merely add to what is now a more diverse total world of ...

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 ...

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 ...

Another new feature worth highlighting is the company’s new Atlas SQL Interface. MongoDB, of course, offers its own query language, MQL. But for better or worse, data analysts are mostly ...

SQL-based solutions. Figure 1. Comparison of traditional relational MySQL solutions to MongoDB’s non-relational solutions. (Source: International Data Corporation) Figure 2. Chart of the growth ...

as opposed to the SQL tendency to keep data normalized (i.e., not duplicated) into specific, single-value columns. The query language in MongoDB is JSON-oriented, just like the document structure.

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

SQL databases ... and managing the data. CouchDB, for instance, uses requests in the form of JSON, sent via HTTP, to create or retrieve documents from its database. MongoDB sends JSON objects ...

“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 ...

This v1.7 release introduces new key features: SQL Interface for MongoDB Data: The new Simba MongoDB ODBC Driver renormalizes MongoDB data into a relational format, letting data analysts view ...