Quick Answer: Why MongoDB Is So Popular?

Why is MongoDB good?

MongoDB is highly scalable, using shards.

Horizontal scalability is a big plus in most NoSQL databases.

MongoDB is no exception.

It is also highly reliable due to its replica sets, and the data is replicated in more nodes asynchronously..

Most Popular Databases MySQL dominated this report with 38.9% use, followed by MongoDB at 24.6%, PostgreSQL at 17.4%, Redis at 8.4%, and Cassandra at 3.0%. … DB-Engines Ranking – Trend Popularity report places these leaders in the top 5, but Oracle keeps hold at number one and Microsoft SQL Server at number 3.

Why is MongoDB so fast?

MongoDB is fast because: Not ACID and availability is given preference over consistency. Asynchronous insert and update: What it means is MongoDB doesn’t insert data to DB as soon as insert query is processed.

Is MongoDB hard to learn?

Yes mongodb is very easy and you can learn it from mongodb university and they will also provide you certificate for the same free of cost.

NoSQL databases have grown in popularity over the last decade because they allow users to query their data without having to learn and master SQL. The rise in popularity of the Javascript-based MEAN stack meant many programmers now prefer MongoDB as their choice of database.

Does Google use MongoDB?

Running MongoDB on Google’s cloud platform means you benefit from the low latency infrastructure Google provides.

Which NoSQL database is best?

Top 5 NoSQL databases for Data Scientists in 2020MongoDB. MongoDB is the most popular document-based NoSQL database. … ElasticSearch. This NoSQL database is used if the full-text search is part of your solution. … DynamoDB. Amazon’s NoSQL database is known for its scalability. … HBase. This is a highly scalable, open-source distributed database system. … Cassandra.

Is MongoDB faster than MySQL?

MongoDB vs MySQL: Performance & Speed MongoDB: One single main benefit it has over MySQL is its ability to handle large unstructured data. It is magically faster. People are experiencing real world MongoDB performance mainly because it allows users to query in a different manner that is more sensitive to workload.

Is MongoDB worth learning 2019?

so looking at MongoDB in 2019, It’s simple but immensely powerful! … One of the best things about MongoDB is that there are no restrictions on schema design. You can just drop a couple of documents within a collection and it isn’t necessary to have any relations between those documents.

Is MongoDB the future?

Top NoSQL database MongoDB, once thought of as a revolution in data management, has come back to Earth some, but it still has a chance to stay ahead of competitors. Much of today’s data is unstructured; it doesn’t fit neatly into relational rows and columns. A one-size-fits-all database won’t do.

Should I use MongoDB or PostgreSQL?

Both databases are awesome. If you are looking for a distributed database for modern transactional and analytical applications that are working with rapidly changing, multi-structured data, then MongoDB is the way to go. If a SQL database fits your needs, then Postgres is a great choice.

What are the disadvantages of MongoDB?

Disadvantages of MongoDBMongoDB uses high memory for data storage.There is a limit for document size, i.e. 16mb.There is no transaction support in MongoDB.

Can MongoDB replace Oracle?

So, it basically depends on the way you need to model your data. MongoDB is open source and provides enterprise and priced services and tools, but Oracle is still better. … MongoDB gives you nice tools, but Oracle and other enterprise tools are simply better. MongoDB documents are not RDBMS records.

Is MongoDB worth learning?

Definitely it’s worth learning MongoDB as it’s a NoSQL DB and widely used in the industry. It’s also easy to learn… Learning is not just sufficient. You must get certified to get more value for your profile.

What is no SQL DB?

NoSQL databases (aka “not only SQL”) are non tabular, and store data differently than relational tables. NoSQL databases come in a variety of types based on their data model. The main types are document, key-value, wide-column, and graph.