16mbbillions of documents and can have billions of documents in the one collection but remember that the maximum document size is 16mb. There are many folk with billions of documents in MongoDB and there’s lots of discussions about it on the MongoDB Google User Group.Jul 4, 2012

Can MongoDB handle big data?

It can process large amounts of real-time data very quickly because of in-memory calculations. MongoDB: MongoDB is a NoSQL database. It has a flexible schema. MongoDB stores huge amounts of data in a naturally traversable format, making it a good choice to store, query, and analyze big data.

How much data can MongoDB hold?

The maximum size an individual document can be in MongoDB is 16MB with a nested depth of 100 levels. Edit: There is no max size for an individual MongoDB database.

Can MongoDB store large files?

In MongoDB, use GridFS for storing files larger than 16 MB. In some situations, storing large files may be more efficient in a MongoDB database than on a system-level filesystem. If your filesystem limits the number of files in a directory, you can use GridFS to store as many files as needed.

Is MongoDB better than Hadoop?

When compared to Hadoop, MongoDB’s greatest strength is that it is a more robust solution, capable of far more flexibility than Hadoop, including potential replacement of existing RDBMS. Additionally, MongoDB also is inherently better at handling real-time data analytics.

Why MongoDB is better for big data?

Benefits of MongoDB for Big Data

MongoDB’s greatest strength is its robustness, capable of far more flexibility than Hadoop, including potential replacement of existing RDBMS. Also, MongoDB is inherently better at handling real-time data analytics.

How big is MongoDB?

MongoDB Inc.

MongoDB’s office in Palo Alto, California
Revenue US$873.8 million (2022)
Operating income US$−289.4 million (2021)
Net income US$−306.9 million (2021)
Total assets US$2.45 billion (2021)

Is MongoDB better than 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.

How reliable is MongoDB?

Scalable and Reliable

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.

Is MongoDB good for data warehouse?

In many cases, the MongoDB data platform provides enough support for analytics that a data warehouse or a data lake is not required. Some of the features that MongoDB provides to support analytics include: A powerful aggregation pipeline that allows for data to be aggregated and analyzed in real time.

Is MongoDB good for data science?

NoSQL databases like MongoDB offer superior benefits when dealing with big data over SQL because of their flexible schema requirements. However, SQL databases have been traditionally favored by most data managers for data analysis. Especially because most BI tools (e.g. Looker) will not let you query NoSQL databases.

Can MongoDB replace Hadoop?

It’s a general-purpose database. MongoDB can be used with data lakes and unstructured data, just like Hadoop. In addition to that, it has a rich query language and can replace any RDBMS, while Hadoop needs to be used in conjunction with a database.

Why use MongoDB vs SQL?

SQL databases are used to store structured data while NoSQL databases like MongoDB are used to save unstructured data. MongoDB is used to save unstructured data in JSON format. MongoDB does not support advanced analytics and joins like SQL databases support.

What problems does MongoDB solve?

Let’s go through the top 7 challenges facing big data, and how to solve them.

  • Managing the accelerated growth of data volumes. …
  • Uncovering insights rapidly. …
  • Integrating data from dissimilar sources. …
  • Finding and keeping the best Big Data talent. …
  • Big Data security. …
  • Organizational resistance. …
  • Data governance.

What are the advantages and disadvantages of MongoDB?

The Pros and Cons for Businesses in using MongoDB:

  • Advantages of MongoDB. Performance Levels. High Speed and Higher Availability. Simplicity. Easy Environment and a Quick Set-up. Flexibility. Sharding. Scalability. …
  • Disadvantages of MongoDB. Transactions. Joins. Indexing. Limited Data Size and Nesting. Duplicates. High Memory Usage.

Apr 21, 2021

Why you shouldn’t use MongoDB?

It’s a good use case for Mongo. But if there’s value in the links between documents, then you don’t actually have documents. MongoDB is not the right solution for you. It’s certainly not the right solution for social data, where links between documents are actually the most critical data in the system.

Can MongoDB lose data?

Even though it’s true that MongoDB can lose data if you use the default settings, the failovers aren’t that frequent to make a significant difference. However, if your business requires safety to be the topmost priority, MongoDB provides you with configurable durability levels to suit your needs.

What are drawbacks 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.

Is MongoDB better than MySQL?

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.

Why is MongoDB so successful?

Yes, MongoDB is popular because it’s easy to learn and get started. Yes, it’s highly scalable (auto-sharding, anyone?), cost effective and more. But the biggest reason MongoDB is wildly popular, in my experience? Because MongoDB enables profound developer agility through its flexible data model.

Why is MongoDB the best?

Its flexible schema makes it easy to evolve and store data in a way that is easy for programmers to work with. MongoDB is also built to scale up quickly and supports all the main features of modern databases such as transactions.

Why is MongoDB hated?

Difficult Scalability – With a relational database, if your data was so large that you couldn’t fit it easily into one server MongoDB had built in mechanisms like replica sets for allowing you to scale that data across multiple machines. Difficult Schema Modifications – No migrations!

Is MongoDB worth learning 2021?

Definitely it’s worth learning MongoDB as it’s a NoSQL DB and widely used in the industry. It’s also easy to learn…

What big companies use MongoDB?

Some Real-World Companies That Use MongoDB

  • eBay. eBay is a multinational company that provides a platform for the customer to customer sales. …
  • MetLife. MetLife is a leading company in employee benefit programs, annuities, and insurance. …
  • Shutterfly. …
  • Aadhar. …
  • EA.

What database does Netflix use?

Database. Netflix utilizes two different database systems namely MySql and Apache Cassandra. My SQL is a relational database management system(RDBMS) and Cassandra is NoSql system. MySql is used to store user information such as billing information, transactions as these need asset compliance.

Does Amazon use MongoDB?

No. Amazon DocumentDB does not utilize any MongoDB SSPL code and thus is not restricted by this license. Instead, Amazon DocumentDB interacts with the Apache 2.0 open-source MongoDB 3.6 and 4.0 APIs. We will continue to listen and work backward from our customers to deliver the capabilities that they need.