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Cassandra vs MongoDB Enterprise Advanced vs Oracle NoSQL comparison

 

Comparison Buyer's Guide

Executive Summary

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 October 2025, in the NoSQL Databases category, the mindshare of Cassandra is 8.7%, down from 13.3% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 16.9%, down from 23.3% compared to the previous year. The mindshare of Oracle NoSQL is 2.7%, down from 3.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases Market Share Distribution
ProductMarket Share (%)
MongoDB Enterprise Advanced16.9%
Cassandra8.7%
Oracle NoSQL2.7%
Other71.7%
NoSQL Databases
 

Featured Reviews

Himanshu Amodwala - PeerSpot reviewer
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.
Uzair Faruqi - PeerSpot reviewer
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…
GLEDSONCOOPER - PeerSpot reviewer
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…

Quotes from Members

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

Pros

"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 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."
"Some of the valued features of this solution are it has good performance and failover."
"The most valuable features of Cassandra are its scaling capabilities and its non-SQL nature capabilities."
"I am getting much better performance than relational databases."
"Overall, I would rate Cassandra as nine because of its fast writes, which really suit our use cases mostly."
"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."
"I am satisfied with the performance."
"It is a stable solution. Stability-wise, I rate the solution a nine out of ten...Overall, MongoDB has helped manage and analyze attachment data."
"MongoDB's best features are scalability, document management, and data security."
"We haven't had any issues with stability."
"We are using real-time analytics and monitoring in MongoDB Enterprise Advanced; it is integrated—the existing advanced feature is integrated with our business analytics interface, and all the various business intelligence reports are generated from that."
"The most valuable feature is the geometric information done with GeoJSON."
"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."
"MongoDB stores the JSON data, and it's easy for me to understand because I'm a JavaScript Developer."
"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 product meets expectations when it comes to stability."
"NoSQL has high availability. I think it's perfect from a technical perspective. It's quick to run and go."
"The tool is easy to learn."
"Oracle NoSQL is pretty scalable."
"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."
 

Cons

"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."
"Interface is not user friendly."
"Cassandra could be more user-friendly like MongoDB."
"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."
"The secondary index in Cassandra was a bit problematic and could be improved."
"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."
"MongoDB should not be used for reporting, analytics, or number-crunching tasks."
"A normal Oracle or database tester will take some time to gear up to MongoDB because the way of writing queries is different in MongoDB. There should be some kind of midway where a person who is coming from an Oracle background can write a query and get a response by using something like a select * statement or other such things. There should be some way for MongoDB to interpret these commands rather than making a person learn MongoDB commands and writing them. I struggled while writing these MongoDB commands. I had not seen such queries before. It was pretty difficult to get them. This is one of the areas where it would help from the improvement standpoint."
"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."
"We find it difficult to incorporate MongoDB in some projects."
"People coming from RDBMS should have the flexibility to write queries in SQL that can be converted into JSON queries."
"It should have GUI for managing clusters. MongoDB needs a more powerful GUI to manage clusters and make switchovers. Currently, there is no good, free tool to check the replication to find out if there is a gap."
"When third-party data warehouses are integrated, we are seeing some ETL job performance issues."
"Simplifying the aggregation framework would be an improvement."
"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."
"The installation is difficult."
"I would rate Oracle NoSQL six or 6.5 out of ten based on my experience."
"Handling big data in a user-friendly way is currently a bit of an issue. The dashboard for this needs some work."
"Focusing on making the administration easier compared to other solutions like MongoDB could be beneficial. Simplifying the administrative tasks could enhance the user experience."
 

Pricing and Cost Advice

"We pay for a license."
"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."
"We are using the open-source version of Cassandra, the solution is free."
"I use the tool's open-source version."
"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."
"MongoDB is a bit expensive compared to its competitors."
"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."
"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."
"This is an open-source solution."
"I believe that MongoDB is free."
"I'm using the free version of MongoDB."
"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."
"The product is expensive and Oracle could work to lower the licensing cost."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
11%
Retailer
7%
Comms Service Provider
7%
Financial Services Firm
15%
Computer Software Company
11%
University
8%
Manufacturing Company
8%
Financial Services Firm
18%
Government
10%
Outsourcing Company
9%
Retailer
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise1
Large Enterprise13
By reviewers
Company SizeCount
Small Business36
Midsize Enterprise13
Large Enterprise37
By reviewers
Company SizeCount
Midsize Enterprise3
Large Enterprise5
 

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 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?
For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little...
What needs improvement with MongoDB?
The integration between data warehouse could be improved. Nowadays, a lot of data is getting generated, so certain ET...
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...
 

Overview

 

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
Airbus, Globacom, WebAction
Find out what your peers are saying about MongoDB, Microsoft, ScyllaDB and others in NoSQL Databases. Updated: September 2025.
871,829 professionals have used our research since 2012.