Navicat Blog

Aug 21, 2018 by Robert Gravelle

MongoDB is a NoSQL database that stores data as collections of documents. Therefore, it behooves you to learn how to work with both documents and collections. In the MongoDB Documents Tutorial we learned how documents are stored in MongoDB as well as how to append new ones to a collection using the Navicat for MongoDB database administration tool. In today's blog, we'll be covering how to view, delete, and edit documents.

Aug 14, 2018 by Robert Gravelle

The massive volumes data generated by modern interconnected systems and devices has spawned a new kind of database known as NoSQL. Perhaps the best known of this new breed of non-relational database is MongoDB. Unlike traditional relational databases (RDBMSes), MongoDB does not contain tables. Instead, it stores data as collections of documents.

Aug 10, 2018 by Robert Gravelle

The term "NoSQL" actually encompasses a wide variety of different database technologies that were developed in response to the demands dictated by modern applications and Internet of Things (IoT) devices. The massive volumes of new, rapidly changing data types created by the linking of numerous systems and devices have presented challenges for traditional DBMSes:

Jul 31, 2018 by Robert Gravelle

MongoDB is a different kind of database. Unlike traditional relational databases like SQL Server and MySQL, it stores data as JSON-like documents. While MongoDB's NoSQL approach does yield some advantages over its RDBMS competitors, it also makes it harder for makers of third-party database management tools to integrate support for MongoDB within their products, leaving users few options besides MongoDB's own Compass UI tool.

Jul 24, 2018 by Robert Gravelle

A database event is a task that runs according to a schedule. Also known as "scheduled events", an event is similar to a cron job in UNIX or a task scheduler task in Windows, except that scheduled events are configured using a database's syntax and/or command-line-interface (CLI). Database events have many uses, such as optimizing database tables, cleaning up logs, archiving data, or generating complex reports during off-peak time.

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