Cassandra vs MongoDB Enterprise Advanced comparison

Apache and MongoDB are both solutions in the NoSQL Databases category. Apache is ranked #6 with an average rating of 8.2, while MongoDB is ranked #1 with an average rating of 8.1. Apache holds a 9.7% mindshare in ND, compared to MongoDB’s 15.1% mindshare. Additionally, 91% of Apache users are willing to recommend the solution, compared to 92% of MongoDB users who would recommend it.

Cassandra

Read 24 Cassandra reviews

2,172 Views
1,651 Comparison Views

91% willing to recommend

MongoDB Enterprise Advanced

Read 81 MongoDB Enterprise Advanced reviews

4,438 Views
3,151 Comparison Views

92% willing to recommend

Cassandra

MongoDB Enterprise Advanced

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 31, 2025

Cassandra and MongoDB Enterprise Advanced are major contenders in the NoSQL database market, with MongoDB Enterprise Advanced perceived to have an advantage due to its richer feature set, despite a higher cost.

Features: Cassandra is distinguished for its exceptional scalability, fault tolerance, and distributed architecture across multiple data centers. MongoDB Enterprise Advanced emphasizes strong data consistency, flexible schema design, and advanced querying capabilities.

Room for Improvement: Cassandra could enhance its user-friendly deployment experience, improve customer service for enterprises, and streamline operational overheads. MongoDB Enterprise Advanced could focus on reducing costs, improving scalability in complex scenarios, and further enhancing data recovery solutions.

Ease of Deployment and Customer Service: Cassandra requires a balanced skill set for deployment and can present complex operational challenges. In contrast, MongoDB Enterprise Advanced is known for its straightforward deployment and is often praised for its robust support and maintenance.

Pricing and ROI: Cassandra is recognized for lower upfront setup costs and a strong ROI for businesses that prioritize performance scalability. MongoDB Enterprise Advanced, though having higher initial expenses, justifies it with a comprehensive feature set and support, leading to a faster ROI for projects that require its advanced capabilities.

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

Buyer's Guide

Cassandra vs. MongoDB Enterprise Advanced

July 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

6th

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Vector Databases (14th)

MongoDB Enterprise Advanced

Ranking in NoSQL Databases

1st

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Open Source Databases (5th), Managed NoSQL Databases (8th)

Mindshare comparison

As of August 2025, in the NoSQL Databases category, the mindshare of Cassandra is 9.7%, down from 13.4% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 15.1%, down from 25.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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

Himanshu Amodwala

Senior cloud solution architect at Microsoft

Well-equipped to handle a massive influx of data and billions of requests

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. For instance, when a customer leaves comments or feedback on an image, they anticipate an immediate reflection of these changes on the portal. Similarly, sellers altering product attributes or updating images expect instant visibility of these modifications. Handling large data volumes with Cassandra has been an excellent experience. Despite challenges related to the influx, these were not attributed to Cassandra itself but rather to middle-layer issues. Generally, it demonstrated scalability with workloads, thanks to its horizontal scaling capabilities. We could easily add new nodes to the system as needed, ensuring the platform coped well with increasing loads. The tool's most beneficial feature for scalability is its entire architecture. The absence of a single point of failure or a leader within the ecosystem contributes to its robust scalability. This key aspect influenced our decision to opt for the Cassandra ecosystem. In terms of performance, it demonstrated the ability to handle approximately 1.6 billion requests per day. This was achieved on AWS using EC2 instances, and it was during a period about four to five years ago.

Read full review

Uzair Faruqi

Head Of Analytics at Mjunction Services

Transforms data flow with adaptable schema and smooth public cloud deployment

One of our business units uses MongoDB, and we developed an ETL pipeline that extracts data from MongoDB and transfers it into our data warehouse MongoDB is a NoSQL database that is similar to a document database. It offers flexibility in schema adaptation, allowing us to change the schema and…

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

"Overall, I would rate Cassandra as nine because of its fast writes, which really suit our use cases mostly."

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

"A consistent solution."

"Can achieve continuous data without a single downtime because of node to node ring architecture."

"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."

"Some of the valued features of this solution are it has good performance and failover."

"I am satisfied with the performance."

"The most valuable feature of Cassandra is its fast retrieval. Additionally, the solution can handle large amounts of data. It is the quickest application we use."

More Cassandra pros

"One of the most valuable features is the ability to Text Search can be used anywhere and anytime."

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

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

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

"It stores historical data with ease. For example, if you are a healthcare member, then you will have multiple records of visits to the doctors. To store such data in Oracle Database, you have to create many records. You might also have duplication problems because your records are going in again and again, because of which the data warehouse and the maintenance cost will be huge. MongoDB is comparatively lightweight. It is a JSON extract. Once you define a schema and extract it, you can push all the relationships in any way you want. It is easier to define and get different types of transactions into MongoDB. It is also easier to set it up as compared to other solutions. MongoDB is a NoSQL database, which means it is a document DB in which you can store documents that you created in BSON. It is pretty fast in response. It is faster than relational databases because it does not define any primary keys, secondary keys, tertiary keys, and all those kinds of things."

"MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial."

"like its performance and the stability. It's very stable and, performance-wise, it's really great."

"MongoDB has definitely helped us improve our network monitoring and reporting dashboard, so I would say it has impacted our operations positively overall."

More MongoDB Enterprise Advanced pros

Cons

"Batching bulk data can cause performance issues."

"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."

"Doesn't support a solution that can give aggregation."

"There were challenges with the query language and the development interface. The query language, in particular, could be improved for better optimization. These challenges were encountered while using the Java SDK."

"It can be difficult to analyze what's going on inside of the database relative to other databases. It can also be difficult to troubleshoot sometimes."

"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."

"We experience configuration issues when accommodating the volumes we require, which often necessitates consultation with the Cassandra development team."

More Cassandra cons

"MongoDB should not be used for reporting, analytics, or number-crunching tasks."

"The dashboard is an area of concern in the solution where improvements are required."

"There should be better integration with other databases."

"It would help if MongoDB offered a light solution for small projects."

"The performance could be faster."

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

"We'd like technical support to respond faster to queries."

"You need integration with other tools to run the query in MongoDB."

More MongoDB Enterprise Advanced cons

Pricing and Cost Advice

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

"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."

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

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

"We pay for a license."

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

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

"The solution is open source, so it is free."

"I currently use the solution's community edition which is free."

"MongoDB is not expensive."

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

"We are using the Community Edition of MongoDB."

"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."

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 a tech company with 51-200 employees

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

19%

Computer Software Company

13%

Comms Service Provider

Retailer

Financial Services Firm

16%

Computer Software Company

12%

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Cassandra?

See all answers

What is your experience regarding pricing and costs for Cassandra?

We are using Cassandra locally and as open-source.

See all answers

What needs improvement with Cassandra?

While Cassandra can handle NoSQL, I think there should be more flexibility for whole schema design when data is stored in wide columns. Additionally, I believe that eventual consistency should be e...

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?

We pay approximately 2,000 euros per month for MongoDB.

See all answers

What needs improvement with MongoDB?

I'm not sure about the documentation or the knowledge bases available for MongoDB because I don't interact with it at that level, but I would say it's minimal and could be improved. I am not experi...

See all answers

Comparisons

ClickHouse vs Cassandra

Compared 13% of the time

Couchbase Enterprise vs Cassandra

Compared 12% of the time

ScyllaDB vs Cassandra

Compared 8% of the time

InfluxDB vs Cassandra

Compared 6% of the time

Chroma vs Cassandra

Compared 6% of the time

More Cassandra Competitors

InfluxDB vs MongoDB Enterprise Advanced

Compared 12% of the time

Couchbase Enterprise vs MongoDB Enterprise Advanced

Compared 8% of the time

Milvus vs MongoDB Enterprise Advanced

Compared 8% of the time

Qdrant vs MongoDB Enterprise Advanced

Compared 5% of the time

MongoDB Atlas vs MongoDB Enterprise Advanced

Compared 5% of the time

More MongoDB Enterprise Advanced Competitors

Product Reports

Buyer's Guide

Cassandra

July 2025

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Buyer's Guide

MongoDB Enterprise Advanced

July 2025

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

July 2025

Free Report: Cassandra vs. MongoDB Enterprise Advanced

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