MongoDB Enterprise Advanced vs Oracle NoSQL comparison

Why PeerSpot?

MongoDB and Oracle are both solutions in the NoSQL Databases category. MongoDB is ranked #2 with an average rating of 8.4, while Oracle is ranked #16 with an average rating of 6.0. MongoDB holds a 12.7% mindshare in ND, compared to Oracle’s 4.1% 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

13,004 Views
6,242 Comparison Views

92% willing to recommend

Oracle NoSQL

Read 8 Oracle NoSQL reviews

1,576 Views
1,497 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: September 2026).

Buyer's Guide

MongoDB Enterprise Advanced vs. Oracle NoSQL

September 2026

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Helped 913,924 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

Ranking in NoSQL Databases

2nd

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Open Source Databases (8th), Managed NoSQL Databases (4th)

Oracle NoSQL

Ranking in NoSQL Databases

16th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the NoSQL Databases category, the mindshare of MongoDB Enterprise Advanced is 12.7%, down from 16.7% compared to the previous year. The mindshare of Oracle NoSQL is 4.1%, up from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
MongoDB Enterprise Advanced	12.7%
Oracle NoSQL	4.1%
Other	83.2%

NoSQL Databases

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.

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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

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

"My impression is that the initial setup is straightforward."

"The stability of the solution is very good, there are no bugs or glitches, it doesn't crash or freeze, and it's pretty good overall."

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

"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."

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

"For people or businesses that are currently trying to put their feet in the industry, it is a good thing to start their career with MongoDB."

"MongoDB is easy to use."

More MongoDB Enterprise Advanced pros

"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."

"Oracle NoSQL is pretty scalable."

"So far, we find stability to be very reasonable, it is dependable and we do not have any big issues."

"Try it! You’ll be impressed."

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

"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."

"The tool is easy to learn."

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

More Oracle NoSQL pros

Cons

"The solution should have better integration."

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

"The user interface is not as friendly as Oracle, which is something that can be improved."

"More stable indexes would be helpful in a future release. That's been an issue for some time."

"Sometimes, the tool goes down temporarily. There are some stability issues in the product."

"The product's data consistency could be more efficient than traditional SQLs."

"I suppose it could be a little more secure."

"It would be much more useful if I have an admin user and a password."

More MongoDB Enterprise Advanced cons

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

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

"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."

"The installation is difficult."

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

"The main areas that need improvement with NoSQL are in the area of big data and user-friendly presentation."

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

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

More Oracle NoSQL cons

Pricing and Cost Advice

"I believe that the licensing fees are paid on a yearly basis."

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

"Our customers pay for yearly licenses for MongoDB."

"The product is affordable."

"MongoDB's pricing is reasonable."

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

"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."

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

15%

Manufacturing Company

Outsourcing Company

Comms Service Provider

Outsourcing Company

14%

Financial Services Firm

12%

Comms Service Provider

11%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Midsize Enterprise	3
Large Enterprise	5

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

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

What is your primary use case for Oracle NoSQL?

We use Oracle NoSQL ( /products/oracle-nosql-reviews ) to store data for our web applications. It is being used for customer projects, and we handle one of our bank customers using more than nine h...

See all answers

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

Cloudera Distribution for Hadoop vs Oracle NoSQL

Compared 18% of the time

Cassandra vs Oracle NoSQL

Compared 12% of the time

Amazon QLDB vs Oracle NoSQL

Compared 10% of the time

Couchbase Enterprise vs Oracle NoSQL

Compared 7% of the time

Apache HBase vs Oracle NoSQL

Compared 6% of the time

More Oracle NoSQL Competitors

Product Reports

Buyer's Guide

MongoDB Enterprise Advanced

September 2026

Download MongoDB Enterprise Advanced product report

Buyer's Guide

NoSQL Databases

September 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

Oracle NoSQL is known for its distributed architecture, which ensures scalability and high availability, making it ideal for handling substantial data across diverse applications.

Oracle NoSQL leverages its distributed nature to offer automatic load balancing and powerful schema evolution tools. With features such as a Java table API and seamless integration with Oracle Database, it efficiently manages unstructured data and supports high read/write operations. Departments dealing with large-scale data benefit from fast data retrieval and effective data replication, with support agreements facilitating easy management.

What are Oracle NoSQL's key features?

Distributed Architecture: Ensures data availability and scalability.
Automatic Load Balancing: Distributes workloads evenly across servers.
Table API for Java: Facilitates integration with Java applications.
Powerful Schema Evolution: Allows changes without downtime.
Efficient Data Replication: Supports high availability and disaster recovery.

What benefits should users expect?

High Performance: Fast data retrieval for large datasets.
Seamless Integration: Compatibility with Oracle Database enhances usability.
Easy Data Management: Simplifies handling of unstructured data.
Scalability: Supports future data growth effortlessly.

In telecom solutions, Oracle NoSQL helps store structured data and logs, supporting relational databases. It plays a crucial role in banking by managing over 900 gigabytes of data, facilitating data fetching and updates efficiently. Its implementation across infrastructure and web applications highlights its robustness in varied use cases.

Oracle

Sample Customers

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

Airbus, Globacom, WebAction

Buyer's Guide

MongoDB Enterprise Advanced vs. Oracle NoSQL

September 2026

Free Report: MongoDB Enterprise Advanced vs. Oracle NoSQL

Find out what your peers are saying about MongoDB Enterprise Advanced vs. Oracle NoSQL and other solutions. Updated: September 2026.

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