MongoDB Enterprise Advanced vs SQLite comparison

MongoDB Enterprise Advanced

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Executive SummaryUpdated on Nov 2, 2025

SQLite and MongoDB Enterprise Advanced are in the data storage solutions category, each with distinct advantages. MongoDB Enterprise Advanced has the upper hand due to its robust feature set and extensive support, especially beneficial for large enterprises.

Features: SQLite offers a self-contained, serverless database ideal for local storage, supporting zero-configuration and simplicity. In contrast, MongoDB Enterprise Advanced provides horizontal scalability, advanced analytics, and comprehensive security, making it suitable for enterprise-level deployments.

Room for Improvement: SQLite could enhance scalability and integration options with cloud platforms and enterprise systems. Additionally, advanced analytics and security features could be improved. MongoDB Enterprise Advanced could improve by simplifying deployment processes, offering more cost-effective plans, and enhancing offline capabilities for mobile applications.

Ease of Deployment and Customer Service: SQLite features a straightforward deployment model without the need for server-side setup, making it accessible for smaller applications. MongoDB Enterprise Advanced provides flexible cloud deployment options and extensive support, including training and dedicated resources, appealing to larger organizations.

Pricing and ROI: SQLite is open-source and free, resulting in minimal setup costs and quick ROI for smaller projects. MongoDB Enterprise Advanced requires a significant initial investment, but many enterprises find value in its advanced features, leading to a favorable ROI in data-intensive operations.

To learn more, read our detailed MongoDB Enterprise Advanced vs. SQLite Report (Updated: February 2026).

MongoDB Enterprise Advanced vs. SQLite

February 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

MongoDB Enterprise Advanced

Ranking in Open Source Databases

6th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

NoSQL Databases (1st), Managed NoSQL Databases (4th)

SQLite

Ranking in Open Source Databases

13th

Average Rating

7.2

Reviews Sentiment

5.5

Number of Reviews

Ranking in other categories

Embedded Database (1st)

Mindshare comparison

As of February 2026, in the Open Source Databases category, the mindshare of MongoDB Enterprise Advanced is 5.1%, up from 4.3% compared to the previous year. The mindshare of SQLite is 5.4%, up from 3.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases Market Share Distribution
Product	Market Share (%)
MongoDB Enterprise Advanced	5.1%
SQLite	5.4%
Other	89.5%

Open Source Databases

Featured Reviews

Fabien GOUINEAU

Architecte Cloud at Visiativ SA

Offers reliable engine for legacy needs but requires enhanced cost management and AI features

While MongoDB is a good product, it is also an expensive product for support, and its scalability is acceptable, but the big problem with MongoDB is the cost. For security in MongoDB, we work with encrypted databases by default, but we have not contracted the security options in our contract because it is too expensive, so we only implement encrypted databases without the security pack, which is very expensive for us; in security, we are at the first steps, just using encrypted databases. I think additional features needed in MongoDB include perhaps vector databases, as I think they are not supported right now.

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Neeraj Tiwari

Student at Queens University Belfast

Pretty easy to execute my SQL queries but issues while uploading and importing my dataset

It was a bit easy to use compared to other tools. It's simple. I found it pretty easy to execute my SQL queries. Since I was a beginner, it was comfortable for me to learn SQL using SQLite. However, when I used it for my professional work and for my assignments, I found some complications. Maybe I'm not proficient with it, that's why. The main benefit for me was learning. Since I was new to SQL, SQLite helped me understand how to work with structured data.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"We are using real-time analytics and monitoring in MongoDB Enterprise Advanced; it is integrated—the existing advanced feature is integrated with our business analytics interface, and all the various business intelligence reports are generated from that."

"I find the integration with other tools very easy."

"One of the most valuable features is the ability to Text Search can be used anywhere and anytime."

"I found that MongoDB is most valuable for storing school-related queries. It's also user-friendly, and I found no difficulty accessing it. Setting it up is easy too."

"It is very fast - faster than an SQL or MySQL Server."

"MongoDB's dashboards offer more functionalities and allow you to create a dashboard with MongoDB database data."

"The integration capabilities of MongoDB are fine for the solutions that we use in our company."

"The solution is user-friendly with a good object retrieval feature."

More MongoDB Enterprise Advanced pros

"I haven't encountered any problems in my use cases. So, it has been a stable product for me."

"SQLite’s most valuable feature is the ability to store granular-level backups of databases."

"I use Flutter Technology with the JSF plugin."

"Sometimes, you want data to persist within the app even when there's no internet connectivity. To avoid showing blank screens, we can use SQLite to store data locally and then sync it with the cloud database when connectivity is restored."

"The product is lightweight and highly scalable."

"It was a bit easy to use compared to other tools. It's simple. I found it pretty easy to execute my SQL queries."

Cons

"It could be much more flexible like SequoiaDB. I would like to see more flexibility in the next release, especially when working with Microsoft Windows. A lot of people struggle with MongoDB because of their Windows versions. But Linux is faultless and mostly runs nicely."

"The improvements could be made to intelligence to detect disk storage and prevent MongoDB from crashing."

"MongoDB should be more stable, and support should be more efficient."

"A normal Oracle or database tester will take some time to gear up to MongoDB because the way of writing queries is different in MongoDB. There should be some kind of midway where a person who is coming from an Oracle background can write a query and get a response by using something like a select * statement or other such things. There should be some way for MongoDB to interpret these commands rather than making a person learn MongoDB commands and writing them. I struggled while writing these MongoDB commands. I had not seen such queries before. It was pretty difficult to get them. This is one of the areas where it would help from the improvement standpoint."

"I rate the support from MongoDB a four out of five."

"Simplifying the aggregation framework would be an improvement."

"MongoDB could improve by not having so many updates and different versions."

"MongoDB is a very useful and convenient choice, but sometimes for more complex projects, there are certain niche requirements that appear, so using a different tool could be beneficial. It raises the complexity of the architecture, but it could be beneficial to the world, the features, the ease of the features which are being implemented."

More MongoDB Enterprise Advanced cons

"The performance could be better."

"I primarily use SQLite for small-scale applications due to its limitations in storing large amounts of data. For larger-scale projects, I typically opt for MySQL or other alternatives. Storing a large number of dates in SQLite can significantly impact its performance."

"There are some difficulties on the server side. When syncing data with databases like SQL Server or Oracle, SQLite requires a kind of double effort."

"Compared to other tools, the performance was less effective than that of Microsoft Access."

"It could have a user-friendly GUI and better intelligence features."

"A potential drawback is that the database file stored within the application's local storage could be accessible to users."

Pricing and Cost Advice

"It's a community edition, so we do not pay anything."

"I'm using the free version of MongoDB."

"MongoDB is an open-source product."

"The pricing is normal. Price-wise, the product is not too much expensive."

"We use the open-source version, which is available to use free of charge."

"Our customers pay for yearly licenses for MongoDB."

"If you want support with the solution you will need to purchase a license and not use the open-source version. The license is a little expensive."

"It's open-source."

More MongoDB Enterprise Advanced pricing and cost advice

"It's not expensive."

"I rate the product’s pricing a six out of ten."

"It's a good value."

"The tool is open-source."

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881,707 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

Manufacturing Company

University

Computer Software Company

13%

Comms Service Provider

12%

Financial Services Firm

11%

Manufacturing Company

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	35
Midsize Enterprise	13
Large Enterprise	38

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	1
Large Enterprise	3

Questions from the Community

What do you like most about MongoDB?

MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.

What is your experience regarding pricing and costs for MongoDB?

For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little bit of cost pressure but it's acceptable. I will not be able to elaborate on th...

What needs improvement with MongoDB?

The integration between data warehouse could be improved. Nowadays, a lot of data is getting generated, so certain ETL flexible scripts with backend database integrations would be an improvement I ...

What do you like most about SQLite?

It was a bit easy to use compared to other tools. It's simple. I found it pretty easy to execute my SQL queries.

What is your experience regarding pricing and costs for SQLite?

It is not expensive.

What needs improvement with SQLite?

There were some complications. For example, you have to upload the dataset into SQLite, and once it's uploaded, you might find difficulties working with it.

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Compared 22% of the time

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Compared 8% of the time

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Compared 8% of the time

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Compared 7% of the time

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Product Reports

MongoDB Enterprise Advanced

January 2026

Download MongoDB Enterprise Advanced product report

Download SQLite product report

January 2026

Overview

MongoDB Enterprise Advanced is a comprehensive platform renowned for its scalability, user-friendliness, and high performance, underpinned by its flexible document-based storage and open-source model. JSON compatibility, clustering, and security elevate its standing among professionals.

The platform facilitates efficient data management through developer-friendly tools and a strong aggregation framework. MongoDB’s no-schema requirement, supported by community expertise, underlines its adaptability. While its sharding capabilities and affordably support large data volumes, there are aspects such as security enhancement and enterprise tool integration that need attention. Indexing and query optimization pose challenges, alongside high costs. Improvements in analytics and UI could advance its infrastructure further.

What are the key features of MongoDB Enterprise Advanced?

Scalability: Dynamic adjustments to workloads with ease.
JSON Compatibility: Seamless data structuring with JSON support.
Clustering: Enhanced data management through robust clustering.
Security Integration: Built-in security measures for data protection.
Sharding: Efficient distribution of large datasets.

What benefits should users look for in reviews?

Document-Based Storage: Flexibility in managing varied data types.
Open-Source: Access to a broad community and resources.
Low-Cost Implementation: Economic efficiency in deployment.
Scalability: Supports the growth of data without sacrificing performance.

Industries leverage MongoDB Enterprise Advanced for significant roles in data storage within IoT platforms, healthcare apps, public service monitoring, and big data analytics. Companies in logistics and telecommunications find it instrumental for business process management and video content management, benefiting from its seamless integration and unstructured data support.

MongoDB

SQLite is an open-source, serverless, reliable, and flexible, SQL database engine. It is particularly favored in the realm of embedded database solutions and small to medium-sized projects. Unlike traditional database systems that operate on a client-server model, SQLite is a serverless database engine, meaning it runs directly within the application it powers. This unique architecture makes SQLite an ideal choice for applications where simplicity, efficiency, and minimal configuration are paramount.

SQLite is an embedded database engine, which means it operates directly within the application that uses it, without requiring a separate server process. It is designed to be cross-platform, supporting multiple operating systems, and is is compatible with a wide range of programming languages, such as C, C++, Python, Java, and more. This makes it highly portable and suitable for a wide range of applications, from mobile devices to desktop software and web applications.

The key advantages of SQLite is its reliability, the lightweight nature and efficient performance. It has a small footprint, typically requiring only a few megabytes of disk space, and can operate entirely in memory if needed. It is designed to be reliable and robust, with built-in features such as atomic commit and rollback, which ensure data integrity even in the event of system crashes or power failures. Finally, the SQLite solution requires no configuration or setup, making it easy to use and deploy. It can be embedded directly into applications without the need for complex installation or configuration procedures.

SQLite Functionality

SQL Compliance: SQLite supports a substantial portion of the SQL standard, including features like transactions, triggers, views, and indexes.
File-based Storage: SQLite stores its entire database as a single cross-platform file on the host machine's file system.
ACID Compliance: SQLite fully supports ACID (Atomicity, Consistency, Isolation, Durability) transactions, ensuring data consistency and integrity in concurrent access scenarios.

SQLite is an open-source project distributed under a public domain license, which means it can be used, modified, and distributed freely, without any licensing costs or restrictions.

To summarize, SQLite is widely used in various applications, including web browsers (e.g., Mozilla Firefox, Google Chrome), mobile applications (e.g., Android, iOS), embedded systems, and desktop software. Its simplicity, portability, and efficiency make it a popular choice for developers who require a lightweight and reliable database solution, especially in resource-constrained environments or applications with modest data storage needs.

Sample Customers

Facebook, MetLife, City of Chicago, Expedia, eBay, Google

Oracle, Bloomberg, Bentley, Mozilla