In this way, a resultant generated code is made, which allows for complex programming, or you can also save a script file and add automated tasks.Amazon claims that migrating from MongoDB to DocumentDB is “as easy as changing the database endpoint to the new Amazon DocumentDB cluster”. It is one of the code generation tools offered by NoSQLBooster, which all help generate the code to update the collection with simple clicks. The recently released tool of re-schema is the best since it provides an excellent GUI to update MongoDB collection schema. Moreover, the next important benefit of generating fake data is that anyone can easily copy your work and replace it with his name, which verifies its findings. You can create as many samples as you want with fake data that can look at least statistically featured more than simply outlier. NoSQLBooster comprises the excellent inbuilt developed feature of the Test Data Generator tool, with the help of which, users can generate sample data for testing. ![]() With the help of this feature, you can build a query by using proper chaining syntax other than specifying a JSON object. NoSQLBooster for MongoDB comprises an excellent fluent Query Builder API like Mongoose. NoSQLBooster also persists in saving the parsed log entries in your MongoDB’s collection for future analysis, if any, you can query with the help of the find() method in MongoDB. The tool instantly parses the log and shows the general information as input in output, like: NoSQLBooster tool provides two MongoDB Log viewers:Ī- for parsing and displaying the recently logged MongoDB eventsī- for displaying external MongoDB log files Users can also filter the query results by selecting field-value pairs. With this feature, NoSQLBooster helps you aggregate all the selected fields in query results to calculate a total number of counts, maximums, minimums, and averages. There are multiple excellent features of NoSQlBooster that make it a unique tool among all its alternatives: With this feature, MongoDB imparts great flexibility to its users. In simple words, the MongoDB database holds various documents simultaneously.īut the merit in this is that it is not required to have one document similar to another, which is a basic prerequisite in Relational databases. The feature of a schema-less database gives the option of storing multiple types of documents in a single aggregate form which is equivalent to a table form. In MongoDB, each field is indexed with primary and secondary indices, which helps retrieve crucial information from the large data collection. Unfortunately, if one server fails, the data will be retrieved using a different server. MongoDB creates large amounts of data by creating various copies and forwarding the documents to multiple servers. Moreover, most of the data is separated into multiple data chunks with the help of the Shard key. The concept of sharding refers to the process by which you can simultaneously distribute data with various servers. Sharding in MongoDB provides the best feature of horizontal expansion. Some of its best features are discussed below: There are multiple features of MongoDB that provide an excellent solution compared to other conventional databases. In this article, we share with you the meaning and all the features of MongoDB and NoSQLBooster. NoSQLBooster is one such type of tool that imparts all the crucial SQL functionalities for managing the MongoDB database. To become a skilled Database Administrator or Developer, it is recommended to have in-depth knowledge of multiple SQL statements for creating schemas, initializing backups, troubleshooting, Ad-hoc querying, etc.įor all these purposes of getting these in one tool, you need to look for the best GUI-based Database Management tool that can productively help complete your task efficiently and faster. ![]() Some of the other best apps which work similarly to NoSQLBooster for MongoDB are MongoDB Compass, MongoHub, Nosqlclient, Mingo.io, etc. The one which is counted as one of the best alternatives is Studio 3T which is free of cost to use. There are various well-functioning alternatives of NoSQLBooster for MongoDB, giving an excellent performance on multiple platforms, including Mac, Windows, Linux, and MongoDB. It helps correct the syntax of ES2017 to get significant intelligence experience whose app falls in the development category. NoSQLBooster for MongoDB, formerly called MongoBooster, is one of the shell-centric cross-platform GUI tools for MongoDB v2.6-3.6.
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