Time for a new MongoDB GUI?

We'll match you for any remaining time on your current plan.
Let's talk
daviddurika
May 16, 2023

5 proven MongoDB performance optimization techniques

MongoDB is among the most popular NOSQL databases currently. It’s no secret that developers working on high-performance applications ally with MongoDB. It is a document-based database that is highly scalable and hence handles large amounts of data. 

MongoDB can handle data ranging from small data sets to large and complex stacks of information. Whether working on a small database or dealing with vast data, MongoDB is for you. However, to achieve optimal performance and scalability, you need to optimize the performance of your database. In this article, we will discuss MongoDB performance optimization techniques.

Indexes

By facilitating speedy data discovery and retrieval, indexes can considerably enhance the performance of MongoDB queries. In essence, an index is a data structure that MongoDB utilizes to optimize query execution. It functions by building a map of the values kept in a certain field, which makes it easier for MongoDB to find documents that fit a query criterion.

When an index is created, MongoDB creates a data structure that keeps references to the related documents and sorts the field's values. MongoDB can use the index to find the documents that match the query condition without scanning every document in the collection when a query is run against that field. 

To optimize MongoDB performance, you should create indexes on fields that are frequently used in queries. The performance of the queries will largely improve, and there will be reduced response time. MongoDB can use the index to locate the documents that match the query quickly.

Sharding

Sharding is a MongoDB feature that enables you to partition data horizontally across multiple servers. The servers are also known as shards. As a MongoDB performance optimization technique, it leverages horizontal database scaling. Sharded data is split into small chunks and distributed across multiple instances by MongoDB. That way, each instance is responsible for specific data. However, sharding may not be necessary if the data set is relatively small.

When using sharding, you start by defining a shard key. A shard key determines the distribution of data across shards by MongoDB. Choosing the shard key should be well thought out to ensure an even data distribution. You can then add shards to your cluster and configure MongoDB for automatic data distribution. MongoDB will then balance the data across shards to ensure no shard is overloaded or under-utilized. This MongoDB performance optimization technique is effective for read-heavy workloads. It increases the throughput and reduces your queries’ response time.

Connection pooling

A connection pool refers to a cache of the driver's open, ready-to-use database connections. Connection pooling helps improve the performance of a MongoDB connection. Whenever a client connects to MongoDB, a new connection is established with the database. This can be time-consuming since a new connection is established for every query leading to poor performance.

By connection pooling, you can create a pool of connections that clients can reuse. That way, whenever a client sends a query, it uses an existing connection from the pool rather than creating a new connection. This technique will significantly improve your database's performance and response time. In other words, a connection pool reduces application latency and the frequency of creating new connections.

Replica sets

Replica sets are useful when improving MongoDB databases' availability and scalability. A replica set is a group of MongoDB instances that contain the same data. One instance is designated as the primary instance, and the others are secondary. The primary instance handles all write operations, while the secondary instances replicate the data from the primary instance.

Replica sets can greatly improve the availability of your database. If the primary instance fails, one of the secondary instances can be promoted to the primary instance, ensuring that the database remains available. Replica sets can also improve the scalability of your database. You can leverage this technique by adding more secondary instances. That way, the read capacity of your database can be increased.

Profiling

You can use profiling as a technique to analyze the performance of MongoDB queries. As a developer, it allows you to identify queries that take a long time to execute and optimize them for better performance. MongoDB provides a built-in profiling feature that can be used to analyze the performance of queries.

To use profiling, you can enable the profiling feature and set the profiling level. MongoDB provides you with three levels of profiling: off, slow, and all. The slow-level profile queries take longer than a specified threshold, while the all-level profiles all queries. Once profiling is enabled, you can use the profiling data to identify slow queries and optimize them for better performance.

Bonus Tip

Mingo is a powerful GUI that can help you optimize MongoDB performance and scalability. Its features and functionalities include query optimization, index management, sharding, and security management. It is a valuable tool that will help you save time whether you are a developer, database administrator, or system administrator.

Read more

v1.13.5 released

We are regularly releasing new versions and did it again today. The latest release contains several UX improvements, fixes 4 reported bugfixes (thanks!) and 10+ unreported issues we found ourselves. Please keep reporting issues, we appreciate any feedback! Mingo should suggest the update automatically, or you can download it directly from our Download page.
Radoslav Toth

Using Mingo with FerretDB

Mingo is a suitable solution for a GUI for MongoDB and its open-source alternative, FerretDB. Since FerretDB is open source, developers can fully control and adapt it to suit specific needs. FerretDB with Mingo will offer you a visual representation of data and a user-friendly interaction, among other benefits. What is FerretDB FerretDB is the […]
Daniel Njeru

Taking Your Company to New Heights with MongoDB Charts in Mingo

Today we demystify how Mingo can ease your pain as a MongoDB user. Mingo has had positive reviews from all companies that have tried it out. Some users have loved it for its wide range of features that are not in other GUI tools, while others have remained loyal to us due to our favorable […]
Daniel Njeru

How to set up MongoDB charts in Mingo

MongoDB charts are used to create a visual representation of MongoDB data. With MongoDB charts, you can communicate insights clearly and concisely. The feature will be useful when analyzing trends, presenting information, or making data-driven decisions. Complex information is conveyed in a more accessible format. That way, you can focus on developing actionable plans. Mingo […]
Daniel Njeru

Demystifying Data Modeling in MongoDB: A Step-by-Step Approach

Data modeling is the process of defining how data is stored and the relationships that exist among different entities in your data. The organization of data inside a database is referred to as a schema. When developing your schema, put more thoughts on your application than your database. A good data model makes data management […]
Daniel Njeru

Indexing Strategies for High Performance in MongoDB

Indexes are unique data structures that store a small portion of the collection’s data in an ordered form that is easy to traverse and search efficiently. They point to the document identity and allow you to look up, access, and update data faster. In MongoDB, indexes are used to improve query performance. Indexes improve query […]
Daniel Njeru

Which companies are using MongoDB

Those who come bearing advice are rarely popular. Daedalus did not do his son Icarus any favors by warning him not to fly too close to the sun as his wax wings would melt, causing him to fall. Had Icarus not ignored his father’s advice, he would not have plummeted to his death. By all […]
Daniel Njeru

New version released: 1.13.1

Here's a short list of bug fixes and improvements in our latest release. It is definitely not complete, there are many minor goodies we didn't even mention here. Enjoy! Bug Fixes Enhancements We would like to thank all the contributors for their valuable feedback and bug reports. Your contributions help us make Mingo better. Please […]
Radoslav Toth

MongoDB Atlas vs. self-hosted MongoDB quick guide.

It is plain as day that MongoDB has been a popular database solution for many applications in the recent past. One may argue this is due to its flexibility, scalability, and ease to use. However, Organizations are faced with opting for MongoDB Atlas, a fully managed cloud-based database service, or having MongoDB set up and […]
daviddurika

We released v1.12.1. What's new?

We have just released a new version and I wanted to summarize what we added or changed. There is a long list of bug-fixes and minor improvements, but three points stand out most. Managing company licenses So far, there was no way to manage company licenses in Mingo. Now, if you have a company account […]
Radoslav Toth
1 2 3

Download Mingo now

The best MongoDB GUI Admin. Intuitive • Fast • Secure
Download Now