Cassandra vs MongoDB vs Oracle NoSQL comparison

Read 79 MongoDB reviews

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1,791 Comparison Views

92% willing to recommend

Oracle NoSQL

Read 8 Oracle NoSQL reviews

596 Views
406 Comparison Views

100% willing to recommend

Cassandra

Oracle NoSQL

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Cassandra, MongoDB, and Oracle NoSQL 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).

NoSQL Databases

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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:

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 MongoDB is 16.3%, down from 26.0% compared to the previous year. The mindshare of Oracle NoSQL is 2.9%, down from 4.3% 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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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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GLEDSONCOOPER

Infrastructure specialist at Cooper Cloud

The implementation is simple and only takes 15 to 30 minutes

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

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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."

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

"I am getting much better performance than relational databases."

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

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

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

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

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

More Cassandra pros

"The most valuable features of MongoDB include the flexible schema for storing data, its replication capabilities with high availability through a replica set setup, and horizontal scalability using sharding."

"It is easy to use."

"MongoDB is a NoSQL tool that gives us much freedom to manipulate how the data works."

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

"It can handle a lot of files quickly."

"The installation is very easy to do and understand."

"MongoDB is scalable and stable. The initial setup is very easy, and deployment and maintenance can be done by one person."

"The tool is also user-friendly."

More MongoDB pros

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

"We have a support agreement with Oracle, ensuring full support for the product. It is crucial for our public-facing features. Oracle NoSQL is easy to manage and has fast data retrieval. Its compatibility with Oracle Database is seamless, making integration between NoSQL and relational databases smooth and effortless. Oracle NoSQL and NoSQL data replication in our environment works efficiently. Oracle fully supports it, and we can easily configure and manage authentication for the NoSQL database."

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

"Oracle NoSQL is pretty scalable."

"The tool is easy to learn."

Cons

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

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

"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."

"I want Cassandra to update its open-source version more quickly. It's already feature-rich, but I'd appreciate better integration with other NoSQL databases like MariaDB or MongoDB. If I ever need to work with customers or vendors using different NoSQL databases, having native integration in Cassandra would make managing and interacting with their databases much easier."

"Batching bulk data can cause performance issues."

"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."

"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."

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

More Cassandra cons

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

"MongoDB should incorporate more features, particularly search functionality, and real-time communication capabilities, to improve the database and provide data listening services. Currently, we rely on the Atlas offering, but it would be fantastic if MongoDB could develop a new solution or updated version that includes these features within its internal database and driver. However, I am uncertain if this would be a viable or profitable move for them, and I am speaking from a mobile-centric viewpoint."

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

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

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

"People coming from RDBMS should have the flexibility to write queries in SQL that can be converted into JSON queries."

"Lacks sufficient scalability and elasticity."

"The solution could have more integration."

More MongoDB cons

"The installation is difficult."

"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."

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

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

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

Pricing and Cost Advice

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

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

"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 pay for a license."

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

"MongoDB is not expensive."

"The product is affordable."

"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."

"We are using the Community Edition of MongoDB."

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

"This is an open-source 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."

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

More MongoDB pricing and cost advice

"The product is expensive and Oracle could work to lower the licensing cost."

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858,435 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

15%

Comms Service Provider

Retailer

Financial Services Firm

18%

Computer Software Company

14%

University

Manufacturing Company

Financial Services Firm

25%

Computer Software Company

13%

Government

Outsourcing 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 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 ...

What do you like most about Oracle NoSQL?

The tool is easy to learn.

What is your experience regarding pricing and costs for Oracle NoSQL?

We use the enterprise edition of Oracle NoSQL.

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 is...

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Comparisons

Couchbase vs Cassandra

Compared 14% of the time

ClickHouse vs Cassandra

Compared 11% of the time

ScyllaDB vs Cassandra

Compared 8% of the time

InfluxDB vs Cassandra

Compared 6% of the time

Accumulo vs Cassandra

Compared 4% of the time

InfluxDB vs MongoDB

Compared 14% of the time

Couchbase vs MongoDB

Compared 11% of the time

Milvus vs MongoDB

Compared 8% of the time

Qdrant vs MongoDB

Compared 5% of the time

ScyllaDB vs MongoDB

Compared 4% of the time

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ScyllaDB vs Oracle NoSQL

Compared 12% of the time

OpenText Analytics Database (Vertica) vs Oracle NoSQL

Compared 11% of the time

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Product Reports

Cassandra

Download Cassandra product report

Download MongoDB product report

NoSQL Databases

Download Oracle NoSQL 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 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.