MongoDB Enterprise Advanced vs Oracle NoSQL comparison

MongoDB and Oracle are both solutions in the NoSQL Databases category. MongoDB is ranked #1 with an average rating of 8.4, while Oracle is ranked #12 with an average rating of 7.7. MongoDB holds a 13.7% mindshare in ND, compared to Oracle’s 3.6% mindshare. Additionally, 92% of MongoDB users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

MongoDB Enterprise Advanced

Read 82 MongoDB Enterprise Advanced reviews

6,047 Views
3,265 Comparison Views

92% willing to recommend

Oracle NoSQL

Read 8 Oracle NoSQL reviews

792 Views
752 Comparison Views

100% willing to recommend

MongoDB Enterprise Advanced

Oracle NoSQL

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 8, 2026

MongoDB Enterprise Advanced and Oracle NoSQL provide robust database solutions, competing closely in the database market. MongoDB Enterprise Advanced gains an edge in cost efficiency and user support, while Oracle NoSQL's rich set of features makes it a top pick for functionality-oriented users.

Features: MongoDB Enterprise Advanced presents advanced security mechanisms, sharding capabilities, and horizontal scalability, enhancing system flexibility. Oracle NoSQL excels with ACID transactions, multi-region data distribution, and impressive performance under heavy operational loads, ensuring robust data integrity and consistency.

Room for Improvement: MongoDB could enhance its advanced analytics and complex query handling. Better native integration with other platforms and more detailed monitoring tools would also be beneficial. Oracle NoSQL might improve its ease of use, simplify setup for less technical users, and enhance pricing options for smaller businesses to broaden its appeal.

Ease of Deployment and Customer Service: MongoDB Enterprise Advanced offers straightforward deployment and reliable customer service, resulting in swift initial set-up and ongoing support. In contrast, Oracle NoSQL’s deployment requires more time and expertise but provides robust stability, particularly for large-scale applications, catering specifically to enterprise-level clients.

Pricing and ROI: MongoDB Enterprise Advanced provides a more predictable and usually lower setup cost, appealing to small to mid-sized businesses with favorable ROI. Oracle NoSQL tends to incur higher upfront costs but offers significant ROI in delivering high scalability and reliability for enterprises. MongoDB attracts budget-conscious buyers, whereas Oracle meets the demands of those focusing on scalability and long-term performance benefits.

To learn more, read our detailed MongoDB Enterprise Advanced vs. Oracle NoSQL Report (Updated: March 2026).

Buyer's Guide

MongoDB Enterprise Advanced vs. Oracle NoSQL

March 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 NoSQL Databases

1st

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Open Source Databases (6th), Managed NoSQL Databases (4th)

Oracle NoSQL

Ranking in NoSQL Databases

12th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the NoSQL Databases category, the mindshare of MongoDB Enterprise Advanced is 13.7%, down from 19.8% compared to the previous year. The mindshare of Oracle NoSQL is 3.6%, up from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
MongoDB Enterprise Advanced	13.7%
Oracle NoSQL	3.6%
Other	82.7%

NoSQL 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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Susantha Kumar

Support on banking at Aithent

Handles large data volumes effectively but connection issues require attention

The Oracle NoSQL solution is used primarily for storing data for our web applications. We work alongside the DBA team for this purpose, given that specific departments manage aspects of its use. We choose it specifically to handle large scales of data, such as in one of our bank customer's scenarios using more than nine hundred gigabytes of data.

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 most valuable feature is the geometric information done with GeoJSON."

"The aggregation framework is really good, allowing a developer to build very complex queries."

"MongoDB is a NoSQL tool that gives us much freedom to manipulate how the data works."

"Sharding is an excellent feature of MongoDB."

"The most valuable features of MongoDB include the flexible schema for storing data, its replication capabilities with high availability through a replica set setup, and horizontal scalability using sharding."

"I think that MongoDB isn't too structured, and that's good for our technical team because they are able to search through the database better than if they are using SQL Server."

"It is really a pretty easy product to use. It's very reliable, it's proven."

"The reports are useful for controlling the load of our whole architecture."

More MongoDB Enterprise Advanced pros

"NoSQL has high availability. I think it's perfect from a technical perspective. It's quick to run and go."

"We have a support agreement with Oracle, ensuring full support for the product. It is crucial for our public-facing features. Oracle NoSQL is easy to manage and has fast data retrieval. Its compatibility with Oracle Database is seamless, making integration between NoSQL and relational databases smooth and effortless. Oracle NoSQL and NoSQL data replication in our environment works efficiently. Oracle fully supports it, and we can easily configure and manage authentication for the NoSQL database."

"Try it! You’ll be impressed."

"The product meets expectations when it comes to stability."

"With Oracle NoSQL, our clients have a highly scalable, simple to set up database that performs very well when data is organized correctly from the beginning."

"The tool is easy to learn."

"The features I've found to be most valuable are the speed of reading and writing (read/write performance levels are really high), the transactions model (semantics for data manipulation), and just the overall simplicity of using it."

"Oracle NoSQL is pretty scalable."

Cons

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

"The solution could include more integrations with other platforms."

"From my point of view, they need a totally free IDE to work at high levels."

"Lacks sufficient scalability and elasticity."

"I'd like to see an ID generator. It's very technical but I don't think it has one, so we have to go to great lengths to work around that."

"MongoDB should improve its data loading part."

"There can be stability issues."

"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."

More MongoDB Enterprise Advanced cons

"You will get high performance when you organize your data correctly at the beginning. Otherwise, there are instability issues."

"We've had some issues with stability. During our testing, we were able to drop an entire database by writing huge amounts of data."

"Personally, I’d like to see some improvements in the monitoring UI for it."

"Handling big data in a user-friendly way is currently a bit of an issue. The dashboard for this needs some work."

"I would rate Oracle NoSQL six or 6.5 out of ten based on my experience."

"Oracle could improve how NoSQL works in containers. I don't think NoSQL needs any new features, but I want to see new features in the Oracle Cloud Infrastructure. I would like to see some improvements in OCI's building options."

"Focusing on making the administration easier compared to other solutions like MongoDB could be beneficial. Simplifying the administrative tasks could enhance the user experience."

"The installation is difficult."

Pricing and Cost Advice

"The product is affordable."

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

"It's open-source."

"MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."

"MongoDB is an open-source product."

"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."

"There is an enterprise license and it could be cheaper. We are using the free open source version."

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

More MongoDB Enterprise Advanced pricing and cost advice

"The product is expensive and Oracle could work to lower the licensing cost."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

Manufacturing Company

University

Financial Services Firm

13%

Manufacturing Company

10%

Outsourcing Company

10%

Performing Arts

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
Midsize Enterprise	3
Large Enterprise	5

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.

See all answers

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...

See all answers

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 ...

See all answers

What do you like most about Oracle NoSQL?

The tool is easy to learn.

See all answers

What is your experience regarding pricing and costs for Oracle NoSQL?

We use the enterprise edition of Oracle NoSQL.

See all answers

What needs improvement with Oracle NoSQL?

Sometimes we face problems with the connection between our applications and the database. It may be due to network issues or performance issues on Oracle's side. Our DBA team requests validations f...

See all answers

Comparisons

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Compared 5% of the time

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Compared 5% of the time

InfluxDB vs MongoDB Enterprise Advanced

Compared 5% of the time

Couchbase Enterprise vs MongoDB Enterprise Advanced

Compared 5% of the time

PostgreSQL vs MongoDB Enterprise Advanced

Compared 4% of the time

More MongoDB Enterprise Advanced Competitors

Cassandra vs Oracle NoSQL

Compared 18% of the time

Couchbase Enterprise vs Oracle NoSQL

Compared 11% of the time

Cloudera Distribution for Hadoop vs Oracle NoSQL

Compared 9% of the time

Apache HBase vs Oracle NoSQL

Compared 8% of the time

Amazon QLDB vs Oracle NoSQL

Compared 8% of the time

More Oracle NoSQL Competitors

Product Reports

Buyer's Guide

MongoDB Enterprise Advanced

March 2026

Download MongoDB Enterprise Advanced product report

Buyer's Guide

NoSQL Databases

March 2026

Download Oracle NoSQL product report

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

The Oracle NoSQL Database (ONDB) provides network-accessible multiterabyte distributed key/value pair storage with predictable latency. Data is stored in a very flexible key-value format, where the key consists of the combination of a major and minor key (represented as a string) and an associated value (represented as a JSON data format or opaque set of bytes). It offers full Create, Read, Update and Delete (CRUD) operations, with adjustable durability and consistency guarantees. It also provides powerful and flexible transactional model that eases the application development.

The Oracle NoSQL Database is designed to be a highly available and extremely scalable system, with predictable levels of throughput and latency, while requiring minimal administrative interaction.

For more information on Oracle NoSQL Database, visit Oracle.com

Oracle

Sample Customers

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

Airbus, Globacom, WebAction

Buyer's Guide

MongoDB Enterprise Advanced vs. Oracle NoSQL

March 2026

Free Report: MongoDB Enterprise Advanced vs. Oracle NoSQL

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