Table of Contents
Which of following is drawback of MongoDB?
Cons: Data size in MongoDB is typically higher due to e.g. each document has field names stored it. less flexibity with querying (e.g. no JOINs) no support for transactions – certain atomic operations are supported, at a single document level.
Can MongoDB handle big data?
MongoDB handles real-time data analysis in the most efficient way hence suitable for Big Data. For instance, geospatial indexing enables an analysis of GPS data in real time. Besides the basic security configuration, MongoDB has an extra JSON data validation tool for ensuring only valid data get into the database.
Can MongoDB replace Hadoop?
MongoDB is a flexible platform that can make a suitable replacement for RDBMS. Hadoop cannot replace RDBMS but rather supplements it by helping to archive data.
Does MongoDB use Hadoop?
Hadoop is a software technology designed for storing and processing large volumes of data distributed across a cluster of commodity servers and commodity storage. Hadoop consumes data from MongoDB, blending it with data from other sources to generate sophisticated analytics and machine learning models.
What is the maximum length of a MongoDB query?
MongoDB supports the BSON format data, so there is no max length of field name. Let us first create a collection with documents − Following is the query to display all documents from a collection with the help of find () method − This will produce the following output.
How to query MongoDB?
Prerequisites. A server with a regular,non-root user with sudo privileges and a firewall configured with UFW.
What is the query language for MongoDB?
MongoDB uses JavaScript as the main query language. If you install MongoDB you will be able to see the JavaScript language interpreter is installed by default. In terms of query language you can choose from a variety of scripting languages for MongoDB like python, PHP or perl.
What is the use of MongoDB?
MongoDB is the core database underpinning SAP’s Platform-as-a-Service content management system. Facebook adapted the storage engine API, extending MongoDB into new workloads and new capabilities. Biotechnology corporation accelerates drug research using MongoDB to capture the variety of data generated by genetic tests.