Try our new research platform with insights from 80,000+ expert users

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 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."
"I am satisfied with the performance."
"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."
"The most valuable features are the counter features and the NoSQL schema. It also has good scalability. You can scale Cassandra to any finite level."
"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."
"Cassandra offers high availability and fault tolerance, making it suitable for large-scale data storage and real-time processing."
"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."
"A consistent solution."
"MongoDB has a simple data-loading interface."
"The reports are useful for controlling the load of our whole architecture."
"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."
"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."
"like its performance and the stability. It's very stable and, performance-wise, it's really great."
"It is very fast - faster than an SQL or MySQL Server."
"I like the schemaless architecture that it follows. I also like the sharding that it provides."
"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."
"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."
"The product meets expectations when it comes to stability."
"The tool is easy to learn."
"NoSQL has high availability. I think it's perfect from a technical perspective. It's quick to run and go."
 

Cons

"The disc space is lacking. You need to free it up as you are working."
"The secondary index in Cassandra was a bit problematic and could be improved."
"The solution is limited to a linear performance."
"We experience configuration issues when accommodating the volumes we require, which often necessitates consultation with the Cassandra development team."
"Cassandra could be more user-friendly like MongoDB."
"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."
"Interface is not 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."
"It has certain limitations when it comes to handling hierarchical data, enforcing relationships, and performing complex joins, which should be taken into account when designing databases for applications with intricate data requirements."
"There are some problems with bugs appearing in sharding when the data is too high."
"MongoDB should better support small and medium companies. There are a lot of clients out there that are interested, however, they need something lighter and less complex and something not so expensive upfront."
"I rate the support from MongoDB a four out of five."
"There was a need for integrating relational database capabilities, however, MongoDB has introduced a relational converter that allows conversion between SQL and NoSQL."
"From my point of view, they need a totally free IDE to work at high levels."
"MongoDB should not be used for reporting, analytics, or number-crunching tasks."
"Simplifying the aggregation framework would be an improvement."
"I would rate Oracle NoSQL six or 6.5 out of ten based on my experience."
"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."
"The installation is difficult."
 

Pricing and Cost Advice

"I use the tool's open-source version."
"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."
"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."
"I don't have the specific numbers on pricing, but it was fairly priced."
"It's a community edition, so we do not pay anything."
"I only used the open-source version."
"This is an open-source solution."
"The solution is open source, so it is free."
"There is an annual subscription for the use of this solution."
"MongoDB is not expensive."
"It is rather expensive."
"I currently use the solution's community edition which is free."
"The product is expensive and Oracle could work to lower the licensing cost."
report
Use our free recommendation engine to learn which NoSQL Databases solutions are best for your needs.
872,008 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
11%
Retailer
7%
Comms Service Provider
6%
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.
872,008 professionals have used our research since 2012.