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 8.4, and holds a 11.5% mindshare in the category. Oracle is ranked #9 in EDS , and holds a 5.8% 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

13,653 Views
6,553 Comparison Views

92% willing to recommend

Oracle Berkeley DB

Read 5 Oracle Berkeley DB reviews

1,627 Views
635 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, Redis and others in NoSQL Databases.

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

Buyer's Guide

NoSQL Databases

September 2026

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Helped 915,383 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 (8th), 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 (9th), 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 11.5%, down 16.9% compared to last year.
Oracle Berkeley DB, on the other hand, focuses on Embedded Database, holds 5.8% mindshare, up 4.3% since last year.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
MongoDB Enterprise Advanced	11.5%
Cassandra	8.7%
Redis	8.1%
Other	71.7%

NoSQL Databases

Embedded Database Mindshare Distribution
Product	Mindshare (%)
Oracle Berkeley DB	5.8%
SAP HANA	13.4%
SQLite	13.3%
Other	67.5%

Embedded Database

Featured Reviews

Anand Bandi

Co-Founder at Vsigma IT Labs Pvt Ltd

Have managed customer transaction data efficiently and supported high-demand workloads with reliable performance

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 could see. I will not be able to clearly say there is currently a deficiency there. All our DBs are integrated with a backend data warehouse, not necessarily AWS. When third-party data warehouses are integrated, we are seeing some ETL job performance issues. It is a one-off scenario so we have not thoroughly done any troubleshooting on that. It could be platform or third-party related issue. From the AWS standpoint, if robust integration and data warehouse integration specific tools are added in the advanced suite, that would definitely be helpful.

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

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

"One of the most valuable features of MongoDB is it is Its open source."

"We put MongoDB on AWS for a specific project, and it's easy to use."

"My advice for anybody who is considering MongoDB is that when we want to have flexibility in storing our data, I recommend using it."

"It's easy to add and remove things in MongoDB. You can alter the tables. MongoDB is faster at reading, slower at writings."

"The tool is also user-friendly."

"MongoDB is also great for managing logs."

"Easier to maintain the data with its document-based storage."

More MongoDB Enterprise Advanced pros

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

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

"The product meets all the essential business requirements."

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

"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."

Cons

"The free tools, like MongoDB Compass, could be enhanced."

"The solution can be a bit tough to set up if you don't have knowledge about how the database works."

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

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

"There is room for improvement in integrating MongoDB with agentive AI solutions."

"The scalability of the solution has room for improvement."

"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."

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

More MongoDB Enterprise Advanced cons

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

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

"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."

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

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

Pricing and Cost Advice

"MongoDB is an open-source solution."

"You only have to pay for the paid version, not the open-source version."

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

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

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

"It's open-source."

"MongoDB is not expensive."

"MongoDB's pricing is not reasonable, but it is not as expensive as the others."

More MongoDB Enterprise Advanced pricing and cost advice

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

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

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

Outsourcing Company

Comms Service Provider

Financial Services Firm

14%

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

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Comparisons

MongoDB Atlas vs MongoDB Enterprise Advanced

Compared 6% of the time

PostgreSQL vs MongoDB Enterprise Advanced

Compared 5% of the time

Redis vs MongoDB Enterprise Advanced

Compared 5% 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

Claris FileMaker vs Oracle Berkeley DB

Compared 7% of the time

ENEA Polyhedra vs Oracle Berkeley DB

Compared 6% of the time

More Oracle Berkeley DB Competitors

Product Reports

Buyer's Guide

MongoDB Enterprise Advanced

September 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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