Cassandra vs Couchbase vs MongoDB comparison

Read 17 Couchbase reviews

2,043 Views
1,267 Comparison Views

100% willing to recommend

Read 79 MongoDB reviews

3,491 Views
1,791 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, InfluxData and others in NoSQL Databases.

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

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NoSQL Databases

June 2025

Helped 857,162 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 June 2025, in the NoSQL Databases category, the mindshare of Cassandra is 10.6%, down from 12.9% compared to the previous year. The mindshare of Couchbase is 9.8%, down from 11.3% compared to the previous year. The mindshare of MongoDB is 16.3%, down from 26.0% 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 a computer software company with 501-1,000 employees

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

"Cassandra offers high availability and fault tolerance, making it suitable for large-scale data storage and real-time processing."

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

"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."

"The solution's database capabilities are very good."

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

"Cassandra is good. It's better than CouchDB, and we are using it in parallel with CouchDB. Cassandra looks better and is more user-friendly."

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

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

More Cassandra pros

"Investing in Couchbase has significantly lowered our operational costs and increased throughput, reducing costs by half and supporting around five times the non-peak user volume during peak hours."

"I can input any kind of document into the solution and it is integrated using a dynamic API. This has been the most valuable aspect of using this solution."

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

"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."

"I rate Couchbase a nine out of ten."

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

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

"The whole stack is valuable, but the portion of the stack that we're finding really handy is the analytics engine because that allows us to take and pre-build views."

More Couchbase pros

"The most valuable features of MongoDB are we have a lot of documentation and SQL-based applications that run on it."

"One of the biggest benefits is the speed and flexibility of the documents, especially when it comes to modifications."

"MongoDB stores the JSON data, and it's easy for me to understand because I'm a JavaScript Developer."

"It is very easy to create a MongoDB cluster. You can deploy three nodes in one hour. You can do small configurations to enable routing. It is easy to implement."

"It's easy to use."

"The clustering is very good. It allows us to have high availability."

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

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

More MongoDB pros

Cons

"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."

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

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

"Fine-tuning was a bit of a challenge."

"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."

"Batching bulk data can cause performance issues."

"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."

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

More Cassandra cons

"One thing that could improved upon is the level of concurrency. The documentation for this solution could also be improved."

"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."

"The platform's grouping features need improvement."

"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."

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

"I have tried multiple libraries in a demo they provide and it works fine, but when it merges with libraries, it creates a problem."

"It is very difficult to load the backup of the older version to the newer version."

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

More Couchbase cons

"Enhancing the documentation to make it more beginner-friendly is crucial."

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

"The on-premises version of the solution is still pretty expensive, especially compared to the cloud version."

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

"Simplifying the aggregation framework would be an improvement."

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

"The free tools, like MongoDB Compass, could be enhanced."

"The performance could be faster."

More MongoDB cons

Pricing and Cost Advice

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

"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."

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

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

"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."

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

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

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

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

"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."

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

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

"The product is affordable."

"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."

"There is an annual subscription for the use of this solution."

"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."

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

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

More MongoDB pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

15%

Comms Service Provider

Retailer

Financial Services Firm

19%

Computer Software Company

15%

Manufacturing Company

Performing Arts

Financial Services Firm

17%

Computer Software Company

14%

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?

What is missing is that they have a new version, Couchbase ( /products/couchbase-reviews ) Mobile three, but they hav...

What is your primary use case for Couchbase?

I have two use cases right now. I have a shopping list app where users can share their lists, so I used the Sync feat...

What advice do you have for others considering Couchbase?

Currently, I only use it in a datacenter, not on AWS ( /products/amazon-aws-reviews ). The reason being is that when ...

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 ...

Neo4j Graph Database vs Cassandra

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 6% of the time

Compared 4% of the time

More Cassandra Competitors

ScyllaDB vs Couchbase

Compared 20% of the time

Redis vs Couchbase

Compared 11% of the time

Apache HBase vs Couchbase

Compared 4% of the time

Aerospike Database 7 vs Couchbase

Compared 3% of the time

CouchDB vs Couchbase

Compared 3% of the time

More Couchbase Competitors

InfluxDB vs MongoDB

Compared 14% 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

MongoDB Atlas vs MongoDB

Compared 4% of the time

More MongoDB Competitors

Product Reports

Download Cassandra product report

Cassandra

June 2025

Download Couchbase product report

June 2025

Download MongoDB product report

May 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.