3/29/2023 0 Comments Mongodb dbeaverSo, your data is always ready for analysis. Real-Time: Hevo offers real-time data migration.Data Transformation: It provides a simple interface to perfect, modify, and enrich the data you want to transfer.Fully Managed: It requires no management and maintenance as Hevo is a fully automated platform.Let’s look at some of the salient features of Hevo: Scripts can also be loaded and saved if needed. SQL Editor: SQL Editor in DBeaver allows you to create and run ad-hoc SQL Queries against the database.You can also change the colors at a very granular level(such as the color of any parameters when written in the SQL Editor). You can switch between these in a matter of seconds. Intuitive Themes: DBeaver comes with a few pre-installed themes.Database Analysis: It allows you to create visual diagrams of Database Objects, the entire Schema and export them as per the requirements.In contrast, a Command-Line tool requires you to remember the exact command in order to display a list of databases or perform other tasks. Graphical User Interface: DBeaver allows you to view a list of Databases and their Objects, as well as select options from menus by pointing and clicking.Some of the key features of DBeaver are as follows: Later in this article, you will learn how an ODC Driver can be leveraged to set up DBeaver MongoDB Integration. The DBeaver Community Edition (CE) is a free and Open Source software distributed under the Apache License whereas a commercial license is required to use the premium Enterprise edition of DBeaver. It houses a plug-in architecture (based on the Eclipse plugin’s architecture) that allows users to customize much of the application’s behavior to provide database-specific functionality or database-independent features. You can learn more about MongoDB Replication here.ĭBeaver is an Open-Source GUI(Graphical User Interface) based Database Management tool that can be leveraged to access any Database or Cloud Application that supports JDBC or ODBC drivers. Replication: MongoDB offers high availability of data by creating multiple copies of the data and sending these copies to a different Server so that if one Server fails, the data can still be retrieved from another Server.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 than 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++. Read along to learn more about DBeaver MongoDB Integration! What is MongoDB? Image Source 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.
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