Why are MongoDB data files large in size?

fileSize is larger than storageSize because it includes index extents and yet-unused space in data files. While fileSize does decrease when you delete a database, fileSize does not decrease as you remove collections, documents or indexes.

How is MongoDB better than other SQL databases?

MongoDB is almost 100 times faster than traditional database system like RDBMS, which is slower in comparison with the NoSQL databases. MongoDB supports deep query-ability i.e we can perform dynamic queries on documents using the document-based query language that’s nearly as powerful as SQL.

What are the advantages of MongoDB over SQL?

Advantages of MongoDB over RDBMS Structure of a single object is clear. No complex joins. Deep query-ability. MongoDB supports dynamic queries on documents using a document-based query language that’s nearly as powerful as SQL.

What is the maximum size of collection in MongoDB?

Sharding Operational Restrictions

Average Size of Shard Key Values	512 bytes	256 bytes
Maximum Number of Splits	32,768	65,536
Max Collection Size (64 MB Chunk Size)	1 TB	2 TB
Max Collection Size (128 MB Chunk Size)	2 TB	4 TB
Max Collection Size (256 MB Chunk Size)	4 TB	8 TB

How does MongoDB measure file size?

To get the exact size (in bytes) of the document, stick to the Object. With mongodb 4.4 (upcoming), You can use bsonSize operator to get the document size.

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.

Why MongoDB can scale very efficiently compared to MySQL db?

MongoDB is faster than MySQL due to its ability to handle large amounts of unstructured data when it comes to speed. It uses slave replication, master replication to process vast amounts of unstructured data and offers the freedom to use multiple data types that are better than the rigidity of MySQL.

Is MongoDB faster than SQL Server?

Key Differences Between MongoDB and SQL Server MongoDB is more fast and scalable in comparison to the SQL server. MongoDB doesn’t support JOIN and Global transactions but the SQL server supports it.

How do I find the size of a collection in MongoDB?

5 Ways to Check the Size of a Collection in MongoDB

1. The dataSize() Method. Probably the quickest and easiest way to check the size of a MongoDB collection is to use the db.
2. The totalSize() Method. The db.
3. The stats() Method.
4. The collStats Command.
5. The $bsonSize Operator.

What is the difference between a TABLE(SQL) and a collection(Mongo)?

Difference between a table (SQL) and a collection (Mongo)? And what are the (dis)advantages of each? 1) In SQL, you have to create a table and define the data types; In mongoDB, you can’t create a collection, it creates itself automatically when inserting data.

Should you opt for MongoDB or SQL for big data?

When in a dilemma as to whether to opt for MongoDB or SQL, companies need to keep in mind their data volume and needs. SQL is more apt for smaller datasets whereas MongoDB is capable of handling large unstructured datasets. SQL is recognized for its high performance, flexibility, reliable data protection, high availability, and management ease.

What is mymysql and how is it different from MongoDB?

MySQL supports the same encryption features as MongoDB; its authentication model is also similar. Users can be granted roles but also privileges, giving them permissions over particular database operations and against particular data sets.

What is the difference between MongoDB documents and arrays?

MongoDB documents consist of a series of key/value pairs of varying types, including arrays and nested documents; however, the key difference is that the structure of the key/value pairs in a given collection can vary from document to document. This more flexible approach is possible because documents are self-describing.