MongoDB Enterprise Advanced vs Oracle Berkeley DB comparison

Why PeerSpot?

The compared MongoDB and Oracle solutions aren't in the same category. MongoDB is ranked #2 in ND , with an average rating of 8.1, and holds a 11.3% mindshare in the category. Oracle is ranked #10 in EDS , and holds a 5.7% mindshare. Additionally, 92% of MongoDB users are willing to recommend the solution, compared to 66% of Oracle users who would recommend it.

MongoDB Enterprise Advanced

Read 82 MongoDB Enterprise Advanced reviews

14,325 Views
6,876 Comparison Views

92% willing to recommend

Oracle Berkeley DB

Read 5 Oracle Berkeley DB reviews

1,700 Views
663 Comparison Views

66% willing to recommend

MongoDB Enterprise Advanced

Oracle Berkeley DB

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between MongoDB Enterprise Advanced and Oracle Berkeley DB based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, MongoDB, Couchbase and others in NoSQL Databases.

To learn more, read our detailed NoSQL Databases Report (Updated: October 2026).

Buyer's Guide

NoSQL Databases

October 2026

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Helped 920,769 peers since 2012

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

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Open Source Databases (9th), NoSQL Databases (2nd), Managed NoSQL Databases (4th)

Oracle Berkeley DB

Average Rating

7.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Embedded Database (10th), Non-Relational Databases (2nd)

Mindshare comparison

While both are Databases solutions, they serve different purposes. MongoDB Enterprise Advanced is designed for NoSQL Databases and holds a mindshare of 11.3%, down 16.2% compared to last year.
Oracle Berkeley DB, on the other hand, focuses on Embedded Database, holds 5.7% mindshare, up 4.9% since last year.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
MongoDB Enterprise Advanced	11.3%
Cassandra	8.8%
Redis	7.8%
Other	72.1%

NoSQL Databases

Embedded Database Mindshare Distribution
Product	Mindshare (%)
Oracle Berkeley DB	5.7%
SAP HANA	13.3%
SQLite	13.0%
Other	68.0%

Embedded Database

Featured Reviews

Romel Jr Zerna

Software Engineer at Pioneer Dev AI

Document data has streamlined prototyping and now supports secure cloud deployments

I use the cloud version of the product. MongoDB Enterprise Advanced is from MongoDB, though I also use DigitalOcean as a third-party provider. Maybe it's all more about preferences. I think MongoDB Enterprise Advanced has weak support on the ORM side, particularly if you're using Prisma. I think mostly the focus now on the tools we have is PostgreSQL. MongoDB Enterprise Advanced is not really used that much on our side for production. It's not really a weak point. It's more of a double-edged sword. If you like document-based management databases and you don't want any migrations, then you go to MongoDB Enterprise Advanced. If you want more secure databases, then you use SQL. On the account management and the way you secure the connection strings, I have utilized advanced security features with MongoDB Enterprise Advanced. I think it's very expensive on the Atlas enterprise side. But if you go to other providers of MongoDB Enterprise Advanced, such as DigitalOcean, it may be harder to set up, but they can save you money.

Read full review

Emad Mokhatab

Solution & Software System Architect at Shaparak

Easy to integrate and manage the setup phase

One of the things that I want to see in Oracle Berkeley DB is a driver for reactive programming. I think the tool's official driver for reactive programming, especially for Java, is the thing that Oracle needs to be more agile in, specifically in those areas of programming that other products are currently going into. Other tools have become more innovative in many areas. I know that Oracle has many responsibilities in maintaining the situation with the current projects and so on. I think it would be very cool if Oracle could make improvements to its projects, as it can help me with my current projects. One reason why I don't choose Oracle Berkeley DB is because we want to go for reactive programming, along with Project Reactor from Spring, but we don't have the official driver for it.

Read full review

Quotes from Members

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

Pros

"MongoDB is a solution that I can recommend because we have realized good benefits from it."

"The geospatial index feature is useful for dealing with latitude and longitude data."

"It is easy to use."

"It is convenient to use because we can do manipulations with the JSON data that we get, there are a lot of joins and associations with MongoDB, which makes it easy to use for us, and there is also a lot of transaction-related support from MongoDB."

"MongoDB's best features are scalability, document management, and data security."

"The fact is all of our users are happy with the stability and quick response times our solutions have."

"We can define security rules at the database level or the cluster level to grant or deny access to particular users."

"MongoDB is fast and efficient."

More MongoDB Enterprise Advanced pros

"The tool's performance is good, and I don't have any problems with it."

"We always had predictability, and by using a custom-built data service layer with plugins, it provided us a lot of scalability, fast turnaround for our fast-moving business requirement and huge data."

"The product meets all the essential business requirements."

"This product helped us to develop a performance-critical DB backend module in the healthcare domain."

"As a key/value store, Oracle BDB is simple to use, and it provides ACID transactions for companies that cannot afford eventual consistency."

Cons

"The pricing is expensive. MongoDB should better support small and medium companies."

"There is a need for improvement in MongoDB's customer support."

"They could improve the UI and the analytics part."

"Some of the solution's transaction capabilities can be improved."

"Enhancing the documentation to make it more beginner-friendly is crucial."

"The transaction could use improvement. From MySQL, for example, you cannot create a transaction if you are reading and writing a document at the same time."

"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."

"The analytics needs improvement."

More MongoDB Enterprise Advanced cons

"There were some mid-term small releases that caused database crashes, but this was later fixed."

"Memory usage becomes a problem when the number of entries stored within the key/value store are quite high (hundreds of millions)."

"I think the tool's official driver for reactive programming, especially for Java, is the thing that Oracle needs to be more agile in, specifically in those areas of programming that other products are currently going into."

"Environment corruption is a common problem found when a DB environment is used by more than one process on a machine at a time."

"The product's interface could be more intuitive and user-friendly."

Pricing and Cost Advice

"I chose MongoDB because it is cost-effective compared to Oracle, which can be expensive. In addition, MongoDB has good performance and has not caused any issues while working with it. It has been a good choice for me."

"It's open-source."

"We are using the Community Edition of MongoDB."

"MongoDB is a bit expensive compared to its competitors."

"There are different licenses available to be purchased, such as individual, premium, or enterprise."

"The solution is open source so is free."

"MongoDB's pricing is reasonable."

"There is an annual subscription for the use of this solution."

More MongoDB Enterprise Advanced pricing and cost advice

"There is a need to pay for the licenses and features of the tool."

"I rate the product's pricing a five out of ten."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

Outsourcing Company

Comms Service Provider

Financial Services Firm

15%

Educational Organization

11%

Outsourcing Company

10%

University

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	36
Midsize Enterprise	13
Large Enterprise	39

No data available

Questions from the Community

What is your experience regarding pricing and costs for MongoDB?

I think it depends on the provider. For example, on DigitalOcean, they have strict routing. You have to whitelist an IP address, or you risk getting DDoS. Then if you're going for the Atlas one tha...

See all answers

What needs improvement with MongoDB?

I don't really have a deep dive into it, but I see that MongoDB Enterprise Advanced has RAG and Vertex support. However, we really didn't use it because I think one thing also is that Prisma, the O...

See all answers

What is your primary use case for MongoDB?

A typical use case for MongoDB Enterprise Advanced is mostly for the database, storing our data.

See all answers

Ask a question

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Comparisons

MongoDB Atlas vs MongoDB Enterprise Advanced

Compared 6% of the time

PostgreSQL vs MongoDB Enterprise Advanced

Compared 4% of the time

Redis vs MongoDB Enterprise Advanced

Compared 4% of the time

InfluxDB vs MongoDB Enterprise Advanced

Compared 4% of the time

MySQL vs MongoDB Enterprise Advanced

Compared 4% of the time

More MongoDB Enterprise Advanced Competitors

SQLite vs Oracle Berkeley DB

Compared 14% of the time

DuckDB vs Oracle Berkeley DB

Compared 9% of the time

InterSystems Caché vs Oracle Berkeley DB

Compared 7% of the time

Amazon SimpleDB vs Oracle Berkeley DB

Compared 6% of the time

Google Cloud Bigtable vs Oracle Berkeley DB

Compared 6% of the time

More Oracle Berkeley DB Competitors

Product Reports

Buyer's Guide

MongoDB Enterprise Advanced

October 2026

Download MongoDB Enterprise Advanced product report

Buyer's Guide

Embedded Database

October 2026

Download Oracle Berkeley DB product report

Also Known As

No data available

Berkeley DB

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

Oracle Berkeley DB is an embedded database known for high performance and scalability, suitable for applications requiring efficient data management. It supports a wide range of platforms, making it a versatile choice for developers.

Designed for high availability and transactional integrity, Oracle Berkeley DB offers a lightweight, fast storage engine. Its flexibility allows for custom implementations across multiple languages, enhancing its utility in embedded systems. With capabilities like ACID transactions, it assures data consistency and durability. Its minimal footprint and low latency make it ideal for applications where speed is critical, efficiently handling both simple and complex data management tasks.

What are the most important features of Oracle Berkeley DB?

ACID Compliance: Ensures reliable transactions and data integrity.
Scalability: Effectively handles large volumes of data.
Multiple API Support: Provides flexibility with C, C++, Java, and other languages.
High Availability: Offers replication for uninterrupted data access.
Low Latency: Optimizes speed for rapid data retrieval and storage.

What benefits or ROI should users look for in reviews?

Reduced Operational Costs: Efficient resource utilization minimizes expenses.
Performance Gains: Enhanced processing speeds improve application response time.
Flexibility in Deployment: Supports diverse environments and platforms.
Reliability: Steady performance under heavy workloads ensures consistent service delivery.
Enhanced Data Management: Robust features streamline data handling processes.

In telecommunications, financial services, and retail industries, Oracle Berkeley DB is implemented to support high-transaction applications where reliability and speed are critical. Its adaptability allows seamless integration, catering to the specific data management needs of these industries.

Oracle

Sample Customers

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

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