What are the disadvantages of MongoDB?

MongoDB's disadvantages include challenges with complex joins, potential data inconsistency (eventual consistency), high memory usage due to schema flexibility and data redundancy, and limits on document size (16MB) and nesting (100 levels), requiring careful design for performance and consistency, especially for highly relational or large, deeply structured data.

What are the drawbacks of MongoDB?

The advantages of MongoDB include its scalability, flexible schema, and support for unstructured data. The disadvantages include data redundancy, memory usage, and limited support for complex transactions.

What is the limitation of MongoDB?

The maximum BSON document size is 16 mebibytes. MongoDB supports no more than 100 levels of nesting for BSON documents. Each object or array adds a level.

Why is MongoDB losing popularity?

Currently, MongoDB is lackluster in products and technology; gets crushed by PostgreSQL in correctness, performance, functionality, and various dimensions; its popularity and reputation among developers continue to decline, along with DB-Engine popularity, MongoDB the company itself doesn't make money, stock price just ...

What is the golden rule of MongoDB?

Data modeling is an advanced topic, but the golden rule in MongoDB is that data that is accessed together should be stored together.

MySQL vs MongoDB

Is MongoDB still used in 2025?

2025 has been a big year for MongoDB. With MongoDB 8.2, our most feature-rich and performant release yet, we are raising the bar for what developers can achieve. Voyage AI's embedding models and rerankers are bringing state-of-the-art accuracy and efficiency to building trustworthy, reliable AI applications.

Who is MongoDB's biggest competitor?

MongoDB's biggest competitors vary by use case, but key rivals in the NoSQL space include Amazon DynamoDB, Couchbase, and Redis, while relational databases like PostgreSQL and cloud data warehouses like Snowflake are strong contenders, especially for those seeking SQL flexibility or advanced analytics. DynamoDB excels in massive scalability within AWS, Couchbase offers multi-model flexibility, and Redis provides unmatched speed for caching, but PostgreSQL offers powerful JSON support, blending SQL & NoSQL. 

Is it worth learning MongoDB in 2025?

The 2025 is bringing opportunities for valuable positions in cloud computing and data science and software development through MongoDB certification for developers and database administrators and data engineers.

Does NASA use MongoDB?

The heart of this initiative was NASA's Link Complexity and Maintenance software (LCM), which stores all pertinent data in MongoDB.

Does MongoDB need a lot of RAM?

RAM usage: By default, Mongo will use up to 50% of (RAM - 1 GB) and the minimum of 256 MB for Caching. If you have a machine with 8 GB of RAM, Mongo will use up to 3 GB for its WiredTiger cache (indexes). This is the easiest and most important parameter to tweak (see below).

Why not use MongoDB?

To sum up: MongoDB does not guarantee data integrity in any scenario, since it lacks relations. You are able to add some level of consistency by using multi-document transactions and application-level checks.

How many indexes is too many in MongoDB?

A single collection can have a maximum of 64 indexes. However, too many indexes can degrade performance before that limit is reached. For collections with a high write-to-read ratio, indexes can degrade performance because each insert must also update any indexes.

Can MongoDB handle large data?

Is MongoDB good for large data? Yes, it most certainly is. MongoDB is great for large datasets. MongoDB Atlas can handle federated queries across object storage (e.g., Amazon S3) and document storage.

Do companies actually use MongoDB?

How leading companies use MongoDB. Several large organisations have already adopted MongoDB: Bosch: Uses MongoDB to power IoT-enabled applications. Forbes: Switched to MongoDB to develop a faster, more reliable content management system.

Which database is fastest?

ClickHouse® ClickHouse® generally outperforms most competitors in ClickBench tests, executing complex analytical queries that are often 10-100x faster than alternatives. This performance comes from columnar architecture with vectorized execution that processes billions of rows per second per server.

Can Redis replace MongoDB?

Redis is often used in combination with an on-disk database such as MongoDB. While the on-disk database is the primary storage solution, Redis may be used as a caching layer, or for performing real-time analytics. If you're already using MongoDB, you can achieve similar results without adding Redis to your system.

Which database is best for data science?

Top 8 Databases Every Data Scientist Should Know

• MySQL – The Classic Workhorse. ...
• PostgreSQL – SQL with Superpowers. ...
• MongoDB – Flexibility for the Modern World. ...
• Cassandra – Big Data, Big Performance. ...
• Redis – Speed in Real Time. ...
• Neo4j – Understanding Connections. ...
• Google BigQuery – Analytics at Cloud Speed.

Does Google use MongoDB?

At the heart of every software application is critical data. MongoDB is the next-generation non-relational database for modern applications designed to use modern cloud computing platforms, such as Google Cloud.

Why is MongoDB falling?

Gross margin headwinds. MongoDB has steered its new business toward the fully managed, cloud-based Atlas product, which carries weaker gross margins. As a result, pro forma gross margins are falling y/y (though still remaining high in the low 70s), shrinking MongoDB's ability to generate economies of scale.

What is the average salary in MongoDB?

Employees who know MongoDB earn an average of ₹26.1lakhs, mostly ranging from ₹17.1lakhs per year to ₹108.1lakhs per year based on 2913 profiles. The top 10% of employees earn more than ₹42.3lakhs per year.

Is MongoDB an ETL tool?

No, MongoDB is a NoSQL document database, not an ETL (Extract, Transform, Load) tool itself, but it's a crucial source or target in ETL/ELT pipelines, leveraging tools like Airbyte, Fivetran, Talend, or Python scripts for data movement and transformation. While its built-in tools (like Compass, mongodump) offer basic data handling, dedicated ETL tools are needed for complex data integration with other systems (like data warehouses or relational databases). 

What replaces MongoDB?

PostgreSQL. PostgreSQL, often called “Postgres,” is a powerful, open-source object-relational database system. While it's a relational database at its core, it has evolved significantly to handle unstructured data exceptionally well, making it a viable “post-relational” alternative to NoSQL systems like MongoDB.

What are the 4 types of NoSQL databases?

The four main types of NoSQL databases are Key-Value Stores, Document Databases, Column-Family (Wide-Column) Stores, and Graph Databases, each using different data models to handle varied needs beyond traditional relational databases, focusing on flexibility, scalability, and specific data relationships.
 

Is Cassandra better than MongoDB?

MongoDB gives you more control as you scale. You can decide how to partition data across nodes based on your requirements, and manage massively distributed databases at scale. Cassandra's performance may drop slightly at scale, depending on the data values.