A large amount of data is partitioned into data chunks using the Shard Key, and these data chunks are evenly distributed across Shards that reside across many Physical Servers. Sharding refers to the process of distributing data across multiple Servers. Scalability: Sharding in MongoDB allows for horizontal scalability.Index-based Document: Every field in the Document in a MongoDB Database is indexed with Primary and Secondary Indices, which makes it easier to retrieve information from the pool of data.Owing to this feature, MongoDB offers great flexibility to the users. It is not necessary for one document to be similar to another which is a prerequisite in Relational Databases. In other words, in the MongoDB database, a single collection can hold multiple Documents, each of which can have a different number of Fields, Content, and Size. ![]() Schema Less Database: A Schema-Less Database allows various types of Documents to be stored in a single Collection(the equivalent of a table).Some of these features are discussed below: MongoDB offers a wide range of unique features that make it a better solution in comparison to other conventional databases. Nowadays, many tech giants, including Facebook, eBay, Adobe, and Google, use MongoDB to store their large amounts of data. This feature of MongoDB allows you to easily represent Hierarchical Relationships, Store Arrays, and other more complex Data Structures. You can change the structure of records (which MongoDB refers to as Documents) by simply adding new fields or deleting existing ones. Documents in MongoDB are similar to JSON objects. It means that you can store your records without having to worry about the Data Structure, the number of fields or the types of fields used to store values. MongoDB is a Document-oriented database that uses JSON-like Documents with a Dynamic Schema to store data. MongoDB is a well-known Open-Source NoSQL Database written in C++. Step 3: Connecting to MongoDB Data from DBeaver.How to Build the DBeaver MongoDB Integration?. ![]() Read along to learn more about DBeaver MongoDB Integration! Table of Contents ![]() This article will also provide you with a step-by-step guide on how to build DBeaver MongoDB Integration and access MongoDB data in DBeaver. Upon a complete walkthrough of this article, you will gain a decent understanding of MongoDB and DBeaver along with the unique features that they offer. DBeaver is one such Database Administration tool that seamlessly works with most of the databases. Finding the appropriate GUI-based Database Management tool for such scenarios can help you complete your tasks faster and more efficiently. If you are a Database Administrator or Developer, you must be aware of the fact that different SQL statements are required for Creating Schemas, Ad-hoc Querying, Initiating Backups, and Troubleshooting.
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