Cassandra vs MongoDB Enterprise Advanced comparison

Apache and MongoDB are both solutions in the NoSQL Databases category. Apache is ranked #7 with an average rating of 8.1, while MongoDB is ranked #1 with an average rating of 8.4. Apache holds a 7.9% mindshare in ND, compared to MongoDB’s 13.9% mindshare. Additionally, 92% of Apache users are willing to recommend the solution, compared to 92% of MongoDB users who would recommend it.

Cassandra

Read 25 Cassandra reviews

2,307 Views
1,500 Comparison Views

92% willing to recommend

MongoDB Enterprise Advanced

Read 82 MongoDB Enterprise Advanced reviews

5,473 Views
3,065 Comparison Views

92% willing to recommend

Cassandra

MongoDB Enterprise Advanced

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 2, 2025

Cassandra and MongoDB Enterprise Advanced are competing in the NoSQL database domain. MongoDB Enterprise Advanced seems to have the upper hand due to its sophisticated feature set and easier deployment process.

Features: Cassandra offers a distributed architecture, strong write performance, and column-family data models for large-scale, real-time data processing. MongoDB Enterprise Advanced provides flexible document storage, full-index support, and aggregation frameworks for complex queries.

Room for Improvement: Cassandra could improve in user-friendliness, ease of configuration, and monitoring tools. MongoDB Enterprise Advanced would benefit from enhanced support for time-series data, improved write performance, and more cost-effective pricing models.

Ease of Deployment and Customer Service: MongoDB Enterprise Advanced provides a streamlined deployment model and comprehensive customer support, making it more accessible for organizations transitioning from traditional databases. Cassandra requires significant expertise for optimal configuration and maintenance, which can complicate deployment.

Pricing and ROI: Cassandra has a lower setup cost, offering favorable ROI for resource-constrained businesses with demanding workloads. In contrast, MongoDB Enterprise Advanced incurs higher initial costs but provides comprehensive features that may justify the investment for enterprises seeking advanced data handling and security.

To learn more, read our detailed Cassandra vs. MongoDB Enterprise Advanced Report (Updated: December 2025).

Buyer's Guide

Cassandra vs. MongoDB Enterprise Advanced

December 2025

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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

Cassandra

Ranking in NoSQL Databases

7th

Average Rating

8.0

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

Vector Databases (14th)

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)

Mindshare comparison

As of February 2026, in the NoSQL Databases category, the mindshare of Cassandra is 7.9%, down from 11.9% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 13.9%, down from 20.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Market Share Distribution
Product	Market Share (%)
MongoDB Enterprise Advanced	13.9%
Cassandra	7.9%
Other	78.2%

NoSQL Databases

Q&A Highlights

it_user1272297

Special Adviser Strategy at a university with 501-1,000 employees

Apr 19, 2020

Which is the best RDMBS solution for big data?

I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505

See all answers

Featured Reviews

Monirul Islam Khan

Head, Data Integration & Management at a non-profit with 10,001+ employees

Has maintained secure document storage and efficient data distribution with peer-to-peer architecture

The functions or features in Cassandra that I have found most valuable are that it is a distributed system similar to Mongo. It's good enough for comparison with another SQL database, so it's smooth and organized for distributed database system. The peer-to-peer architecture in Cassandra is helpful for network decentralization, and I have already introduced that feature. Cassandra features in peer-to-peer as well as another monitoring, so basically, it's good enough for our service. The tunable consistency level in Cassandra is good, and we are using that feature already. In terms of built-in caching and lightweight transactions in Cassandra, the transaction level is good, and it's optimized, so there are no more issues in that database. Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there. Additionally, the database monitoring system or auditing system is well-comparable with other database systems, so we are actually happy to be using this Cassandra database.

Read full review

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.

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

"Cassandra has some features that are more useful for specific use cases where you have time series where you have huge amounts of writes. That should be quick, but not specifically the reads. We needed to have quicker reads and writes and this is why we are using Cassandra right now."

"I am satisfied with the performance."

"I'd rate the solution ten out of ten."

"The most valuable features of Cassandra are its scaling capabilities and its non-SQL nature capabilities."

"Its retrieval is similar to an RDBMS, so our team finds it easy to adapt."

"Since I haven't had years of experience with it, it's still new to me. One valuable feature is its distribution, so I can run it partly in the cloud and part on-prem. That's a feature I'd like to use but haven't yet because we're trying to move to Azure. I don't know if or when that will happen. Ideally, we'd have it distributed over the cloud and on-prem simultaneously, so if something happens to our on-prem, we can keep going in the cloud, like a pay-as-you-go model with Azure."

"The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time updates is paramount."

"The most valuable features of Cassandra are the NoSQL database, high performance, and zero-copy streaming."

More Cassandra pros

"The most valuable feature is that you can store unstructured data, which is helpful when you don't know what the best structure should be and you cannot use a relational database because of that."

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

"In our case, it is most important to have redundancy."

"It's super easy to develop a couple of solutions for clients with MongoDB, like a quick web page with no clear data structure that they need to spin up quickly to validate some sort of MDTP."

"The community is great if you have problem."

"The aggregation framework is very powerful when elaborating on data."

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

"Sharding is an excellent feature of MongoDB."

More MongoDB Enterprise Advanced pros

Cons

"The solution doesn't have joins between tables so you need other tools for that."

"Batching bulk data can cause performance issues."

"Cassandra could be more user-friendly like MongoDB."

"Maybe they can improve their performance in data fetching from a high volume of data sets."

"Cassandra can improve by adding more built-in tools. For example, if you want to do some maintenance activities in the cluster, we have to depend on third-party tools. Having these tools build-in would be e benefit."

"The solution is not easy to use because it is a big database and you have to learn the interface. This is the case though in most of these solutions."

"Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProxy, which should better handle consumption for high-level concurrency."

"The initial setup of Cassandra can be difficult in the configuration. There might be a need to have assistance. The implementation process can six months for connecting to certain databases."

More Cassandra cons

"MongoDB would be improved with more integration, particularly for cloud environments like Google BigQuery."

"I feel that most people don't know a lot about MongoDB, so maybe they could add some more documentation and tutorials."

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

"MongoDB can improve large-size video or media frame operations. There are a lot of customers who want to upload media frames and video games but there is some difficulty. In MongoDB, we are looking out for solutions that are for large-size media files that can be saved and navigated efficiently."

"There should be better integration with other databases."

"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."

"It could be more stable. It would be better if it were more user-friendly like Oracle, which is very easy. For example, creating an index is simple in Oracle. In MongoDB, it's quite challenging to do that. Performance could be better. It's fast and good, but you cannot put every application that you would like to in MongoDB."

"Data encryption is possible using third-party tools but they should have their own encryption capability built-in to this solution."

More MongoDB Enterprise Advanced cons

Pricing and Cost Advice

"I don't have the specific numbers on pricing, but it was fairly priced."

"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."

"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."

"We are using the open-source version of Cassandra, the solution is free."

"We pay for a license."

"I use the tool's open-source version."

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

"MongoDB is a free solution. We wanted to have high availability and the subscription cost was quite expensive because the basic one is free and then when you want to have some other replications or other features you will need to pay money. Overall the solution is expensive."

"I believe that MongoDB is free."

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

"The pricing is favorable if you opt to install MongoDB on an Amazon EC2 instance as you won't have to pay for the extra Atlas services and can instead manage the scaling yourself. This allows for a cost-effective solution and using MongoDB on a small scale, I have been able to utilize it for free."

"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."

"MongoDB's pricing is reasonable."

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

More MongoDB Enterprise Advanced pricing and cost advice

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Answers from the Community

it_user1272297

Special Adviser Strategy at a university with 501-1,000 employees

Apr 19, 2020

Which is the best RDMBS solution for big data?

I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505

2 out of 4 answers

Russell Rothstein

CEO at PeerSpot

Jan 27, 2020

Morten, the most popular comparisons of SQream can be found here: https://www.itcentralstation.com/products/sqream-db-alternatives-and-competitors The top ones include Cassandra, MemSQL, MongoDB, and Vertica.

Read full answer

reviewer1219965

Data Architect at a tech services company with 201-500 employees

Jan 27, 2020

I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505

Read full answer

See all 4 answers

Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

Comms Service Provider

Retailer

Financial Services Firm

14%

Computer Software Company

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	14

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

Questions from the Community

What do you like most about Cassandra?

The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-ti...

See all answers

What is your experience regarding pricing and costs for Cassandra?

The pricing for Cassandra is a little bit high, so it would be better for our community services if they consider community pricing for any non-profit organization like an NGO or other things. It w...

See all answers

What needs improvement with Cassandra?

Regarding areas of improvement for Cassandra, currently, we are not facing significant issues. Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProx...

See all answers

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

Comparisons

ClickHouse vs Cassandra

Compared 11% of the time

Couchbase Enterprise vs Cassandra

Compared 7% of the time

Oracle NoSQL vs Cassandra

Compared 5% of the time

ScyllaDB vs Cassandra

Compared 5% of the time

Neo4j Graph Database vs Cassandra

Compared 5% of the time

More Cassandra Competitors

InfluxDB vs MongoDB Enterprise Advanced

Compared 6% of the time

Microsoft Azure Cosmos DB vs MongoDB Enterprise Advanced

Compared 6% of the time

Couchbase Enterprise vs MongoDB Enterprise Advanced

Compared 5% of the time

MongoDB Atlas vs MongoDB Enterprise Advanced

Compared 5% of the time

Milvus vs MongoDB Enterprise Advanced

Compared 4% of the time

More MongoDB Enterprise Advanced Competitors

Product Reports

Buyer's Guide

Cassandra

January 2026

Download Cassandra product report

Buyer's Guide

MongoDB Enterprise Advanced

January 2026

Download MongoDB Enterprise Advanced product report

Overview

Cassandra is a distributed and scalable database management system used for real-time data processing.

It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model.

It is commonly used in finance, e-commerce, and social media industries.

Apache

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

Sample Customers

1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota

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

Buyer's Guide

Cassandra vs. MongoDB Enterprise Advanced

December 2025

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