Cassandra vs Couchbase vs MongoDB comparison

Read 14 Couchbase reviews

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1,493 Comparison Views

100% willing to recommend

Read 79 MongoDB reviews

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3,191 Comparison Views

92% willing to recommend

Cassandra

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Executive Summary

We performed a comparison between Cassandra, Couchbase, and MongoDB based on real PeerSpot user reviews.

Find out what your peers are saying about MongoDB, ScyllaDB, Microsoft and others in NoSQL Databases.

To learn more, read our detailed NoSQL Databases Report (Updated: March 2025).

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NoSQL Databases

March 2025

Helped 850,028 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:

Mindshare comparison

As of May 2025, in the NoSQL Databases category, the mindshare of Cassandra is 10.7%, down from 12.7% compared to the previous year. The mindshare of Couchbase is 10.1%, down from 11.3% compared to the previous year. The mindshare of MongoDB is 17.4%, down from 26.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases

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.

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Ravi_Singh

Manager at Tesco

Supports multiple data models and offers AI capabilities

With some of the operations, we used to face some challenges with scalability. Although it worked pretty well, in some scenarios, we noticed issues where the replications and the sharding were not happening correctly. In recent versions, we also faced some issues in terms of enabling advanced operations like FTS and vectors. Although it works pretty well, in some places, we do face challenges, especially on a heavy scale. I think all issues are being addressed in the latest version of Couchbase. The resources are not that good for Couchbase. The tool's documentation is pretty extensive, but if you go for any kind of courses or tutorials, there are very limited resources available. It also becomes a little bit challenging for new people to get onboard into it. MongoDB and other such open-source database tools perform really well as they're really widely adopted, and they have resources available to get you onboarded pretty quickly. I think that we do face some challenges with Couchbase, but luckily, we have the tool's enterprise version solution, so we get all the support from the product team.

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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…

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"I am satisfied with the performance."

"A consistent solution."

"The technical evaluation is very good."

"The most valuable features of this solution are its speed and distributed nature."

"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."

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

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

"The time series data was one of the best features along with auto publishing."

More Cassandra pros

"The product's initial setup phase is easy."

"The valuable features of Couchbase are the many documents and index types, and they made a lot of features available enabling us to use it as a complete solution for our needs."

"Couchbase has not given any performance problems as of now."

"It can scale horizontally, and we are looking to expand our capacity."

"The most valuable feature of Couchbase is document indexing. It is better than MongoDB. Additionally, the solution is easy to use."

"It is highly available for support and does not impact our operations significantly during failures."

"The principal advantage of Couchbase is that we can have multiple database paradigms in the same product, without deploying multiple databases. We also like that it has lower latency, when compared to its competitor: Cassandra."

"The most valuable features are the ease of application and the merging of data."

More Couchbase pros

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

"The most valuable features of MongoDB are the variety of translations available and the ability to deploy it on the cloud is useful. The cloud users can access the data, work on the data, and if they want to import or manipulate some data they can."

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

"The initial setup isn't really that complex."

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

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

"I value the API integrations."

"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."

More MongoDB pros

Cons

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

"There could be more integration, and it could be more user-friendly."

"Cassandra is very complex to manage. Sometimes, I need to involve a senior DevOps engineer if we encounter a problem."

"The solution is limited to a linear performance."

"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 enhanced."

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

"Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product."

"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."

More Cassandra cons

"The failover and failback could be a bit easier. When I looked at it last time, it had to be manually done. It also took over an hour for us to rebalance all the nodes."

"The scripting language for this solution could be improved. A big selling point is that they're like SQL server but there is still quite a lot of missing functionality."

"The platform's grouping features need improvement."

"Couchbase could improve the design of the UI because it should be optimized for viewing statistics or a similar feature."

"Although it worked pretty well, in some scenarios, we noticed issues where the replications and the sharding were not happening correctly."

"Needs some capacity planning to deal with too much memory, CPUs and displays."

"I would like Couchbase to provide more functionality via the UI, as some operations, such as time-based scaling, currently require using the API."

"We would like to have a better management of Kubernetes with the free, open source version of Couchbase. We don't have any major complaints other than that."

More Couchbase cons

"There can be stability issues."

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

"The stability could be improved."

"MongoDB should be more stable, and support should be more efficient."

"The solution should more easily integrate with custom code."

"The solution should have better integration."

"We'd like information about client onboarding experience and success stories. It would help to have something to show to internal stakeholders."

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

More MongoDB cons

Pricing and Cost Advice

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

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

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

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

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

"We pay for a license."

"It seems very reasonable. It's a lot cheaper than Redis, but we've got an enterprise license. So, it's about normal. It's not outrageous in price as far as we've seen. From Couchbase, there's no additional fee as far as I'm aware, but when you're integrating, there's an additional fee because a lot of times, they don't have an integration stack."

"It can range between 25,000 to 40,000 Euros per year depending on company requirements."

"The price of this solution is better than some of the other competitors."

"I wouldn't say Couchbase offers good value for money."

"I would rate this solution a nine out of ten for pricing as it is affordable."

"We estimate that it's not very expensive, however, the pricing that you can get from the account managers, e.g. the public pricing, could be a bit expensive."

"The licensing cost of Couchbase is quite expensive compared to other databases."

"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."

"MongoDB is not expensive."

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

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

"The solution is open source so is free."

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

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

"At the moment, all customers are using the community version."

More MongoDB pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

15%

Comms Service Provider

University

Financial Services Firm

22%

Computer Software Company

15%

Manufacturing Company

Retailer

Financial Services Firm

19%

Computer Software Company

15%

University

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 operat...

What is your experience regarding pricing and costs for Cassandra?

We are using Cassandra locally and as open-source.

What needs improvement with Cassandra?

While Cassandra can handle NoSQL, I think there should be more flexibility for whole schema design when data is store...

What needs improvement with Couchbase?

I would like Couchbase to provide more functionality via the UI, as some operations, such as time-based scaling, curr...

What is your primary use case for Couchbase?

Our primary use case for Couchbase is related to the iGaming industry, particularly for high-performance reads and wr...

What advice do you have for others considering Couchbase?

Couchbase, especially under high load conditions, is imperative for providing a great user experience due to its stab...

What do you like most about MongoDB?

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

What is your experience regarding pricing and costs for MongoDB?

We use the free version of MongoDB, so there are no licensing costs.

What needs improvement with MongoDB?

There is room for improvement in integrating MongoDB with agentive AI solutions. While solutions for other databases ...

More Cassandra Competitors

Comparisons

ClickHouse vs Cassandra

Compared 11% of the time

ScyllaDB vs Cassandra

Compared 9% of the time

InfluxDB vs Cassandra

Compared 7% of the time

Chroma vs Cassandra

Compared 7% of the time

Accumulo vs Cassandra

Compared 4% of the time

ScyllaDB vs Couchbase

Compared 22% of the time

Redis vs Couchbase

Compared 9% of the time

Aerospike Database 7 vs Couchbase

Compared 4% of the time

Apache HBase vs Couchbase

Compared 4% of the time

Microsoft Azure Cosmos DB vs Couchbase

Compared 3% of the time

More Couchbase Competitors

InfluxDB vs MongoDB

Compared 16% of the time

Milvus vs MongoDB

Compared 8% of the time

Qdrant vs MongoDB

Compared 5% of the time

Faiss vs MongoDB

Compared 5% of the time

Oracle Berkeley DB vs MongoDB

Compared 4% of the time

More MongoDB Competitors

Product Reports

Download Cassandra product report

Cassandra

April 2025

Download Couchbase product report

April 2025

Download MongoDB product report

April 2025

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

Couchbase is a versatile database solution for healthcare, automation, e-commerce, gaming, caching, and analytics. It supports 920 nodes and 420 clusters, making it scalable and extensible. Its valuable features include multiple database paradigms, low latency, dynamic API integration, Sync Gateway for mobile apps, and a user-friendly interface.

Couchbase has helped organizations with low latency metrics, large user updates, and cost-effective caching. Its built-in data replication and disaster recovery features make it a complete solution for various needs.

MongoDB is a flexible and scalable NoSQL database solution that efficiently handles both structured and unstructured data. It is known for its ease of use, JSON capabilities, and efficient data handling, making it ideal for developer-friendly environments.

MongoDB stands out with features like sharding, geospatial indexing, and its open-source nature. Users find it fast and appreciate its seamless integration into different applications. Despite being powerful, it remains straightforward to set up and use, bolstered by a clustering and aggregation framework that enhances its functionality. While generally appreciated for its cost-effectiveness and broad application compatibility, there is room for improvement in security, enterprise integration, and the creation of more robust training and documentation resources. Enhancing performance and adding support for traditional relational database concepts could also prove beneficial.

What are MongoDB's most important features?

Scalability: Efficiently manages growing data volumes.
Flexibility: Supports structured and unstructured data with ease.
Sharding: Distributes data across multiple servers.
Geospatial Indexing: Enables location-based data handling.
Open-source: Wide community support and customization.

What benefits or ROI should users look for?

Cost-effectiveness: Reduces overall database management expenses.
Ease of Use: Simplifies database setup and maintenance.
Developer-friendly: Accelerates application development with supportive tools.
Scalable Solutions: Adapts to evolving business requirements.

MongoDB finds widespread application across industries like healthcare, logistics, and telecommunications. It efficiently powers IoT platforms, data analytics, and document management systems. Its schema flexibility and JSON storage capabilities make it ideal for real-time processing and multi-server databases, essential for handling large-scale data volumes in modern applications.