Cassandra vs MongoDB Enterprise Advanced vs ScyllaDB comparison

MongoDB Enterprise Advanced

Read 12 ScyllaDB reviews

2,346 Views
2,323 Comparison Views

91% willing to recommend

Cassandra

Comparison Buyer's Guide

Download the report

Executive Summary

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

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

To learn more, read our detailed NoSQL Databases Report (Updated: April 2026).

Download the complete report

NoSQL Databases

April 2026

Helped 893,915 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 2026, in the NoSQL Databases category, the mindshare of Cassandra is 8.2%, down from 10.6% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 13.3%, down from 17.4% compared to the previous year. The mindshare of ScyllaDB is 6.6%, down from 10.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
MongoDB Enterprise Advanced	13.3%
ScyllaDB	6.6%
Cassandra	8.2%
Other	71.9%

NoSQL Databases

Featured Reviews

Monirul Islam Khan

Head, Data Integration & Management at a non-profit with 10,001+ employees

Has maintained secure document storage and efficient data distribution with peer-to-peer architecture

The functions or features in Cassandra that I have found most valuable are that it is a distributed system similar to Mongo. It's good enough for comparison with another SQL database, so it's smooth and organized for distributed database system. The peer-to-peer architecture in Cassandra is helpful for network decentralization, and I have already introduced that feature. Cassandra features in peer-to-peer as well as another monitoring, so basically, it's good enough for our service. The tunable consistency level in Cassandra is good, and we are using that feature already. In terms of built-in caching and lightweight transactions in Cassandra, the transaction level is good, and it's optimized, so there are no more issues in that database. Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there. Additionally, the database monitoring system or auditing system is well-comparable with other database systems, so we are actually happy to be using this Cassandra database.

Read full review

Fabien GOUINEAU

Architecte Cloud at Visiativ SA

Offers reliable engine for legacy needs but requires enhanced cost management and AI features

While MongoDB is a good product, it is also an expensive product for support, and its scalability is acceptable, but the big problem with MongoDB is the cost. For security in MongoDB, we work with encrypted databases by default, but we have not contracted the security options in our contract because it is too expensive, so we only implement encrypted databases without the security pack, which is very expensive for us; in security, we are at the first steps, just using encrypted databases. I think additional features needed in MongoDB include perhaps vector databases, as I think they are not supported right now.

Read full review

Manikandan Gunasekaran

Director of Engineering at Ola

Reliable data management with great reliability and performance

From a sales pitch standpoint, it needs to deliver on promises of better ROI and compaction. Additionally, ticketing and support systems could be improved due to the time it takes to get answers. There's also an issue with compatibility when attempting to switch back from the enterprise to the community version.

Read full review

Quotes from Members

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

Pros

"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."

"Setup was very straightforward."

"The most valuable features are the counter features and the NoSQL schema, and it also has good scalability because you can scale Cassandra to any infinite level."

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

"Some of the valued features of this solution are it has good performance and failover."

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

More Cassandra pros

"In our case, it is most important to have redundancy."

"It's easy to use."

"MongoDB has definitely helped us improve our network monitoring and reporting dashboard, so I would say it has impacted our operations positively overall."

"The integration capabilities of MongoDB are fine for the solutions that we use in our company."

"It has visible benefits, actually, in terms of price of ownership if you compare it to, for example, Oracle."

"I think that MongoDB isn't too structured, and that's good for our technical team because they are able to search through the database better than if they are using SQL Server."

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

"The solution's most important aspect is its seamless database."

More MongoDB Enterprise Advanced pros

"The best features of ScyllaDB are how it synchronizes data and its failover system. There's a unique formula to decide the number of nodes you need and the minimum required, which I find helpful. It also offers encryption and supports APIs, making it great for distributed systems and scaling databases across different regions. While it's easy to use, having prior experience helps configure it properly. There are many configurations; if you don't understand them, you might mess up the design. So, understanding your system's needs, like whether it requires more read or write operations, is crucial for setting up the correct configuration."

"The product's most valuable features are efficiency and reliability."

"ScyllaDB allows fine-tuning of the table structure. Speed is probably the most critical factor because we perform a lot of heavy data ingestion. One of its core features is its ability to handle high volumes and maintain speed when accessing data. Additionally, high availability and partitioning are built-in features of ScyllaDB."

"Scalability in performance is good."

"Firstly, if I update something, it's most likely to finish within milliseconds."

"I like how fast it is to query data from the ScyllaDB node!"

"The performance aspects of Scylla are good, as always... A good point about Scylla is that it can be used extensively."

"It is lightweight, and it requires less infrastructure."

More ScyllaDB pros

Cons

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

"The secondary index in Cassandra was a bit problematic and could be improved."

"We have had stability issues including out of memory issues and crashes with earlier versions of the product."

"Row-level locking is not available; might be very helpful in update use cases."

"Cassandra could be more user-friendly like MongoDB."

"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."

"Batching bulk data can cause performance issues."

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

More Cassandra cons

"The improvements could be made to intelligence to detect disk storage and prevent MongoDB from crashing."

"We don't even know how to get ahold of MongoDB support."

"The performance can be improved."

"The stability could be improved."

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

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

"There should be better integration with other databases."

"I think it's very expensive on the Atlas enterprise side."

More MongoDB Enterprise Advanced cons

"The documentation is not well established for new developers."

"ScyllaDB needs to improve its handling of transactions."

"The documentation of Scylla is an area with shortcomings and needs to be improved."

"The product needs to add more features and improve the response time of the support team."

"Data export, along with how we can purchase the data periodically, needs to be improved so that the storage is within control. Then, we could optimize it even better."

"We faced several challenges while integrating ScyllaDB into our AWS environment. One common issue was that a security port wasn’t opened on one node, preventingdata synchronization across clusters. We noticed the data wasn’t syncing correctly when we saw different record counts in other regions. After investigating, we found that the port was closed in one AWS region. Once we opened the port, the data synchronization across all nodes resumed as expected."

"From a sales pitch standpoint, it needs to deliver on promises of better ROI and compaction."

"Support and the availability of support need improvement. I would give them a six out of ten."

More ScyllaDB cons

Pricing and Cost Advice

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

"We pay for a license."

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

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

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

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

"I only used the open-source version."

"I chose MongoDB because it is cost-effective compared to Oracle, which can be expensive. In addition, MongoDB has good performance and has not caused any issues while working with it. It has been a good choice for me."

"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."

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

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

"MongoDB is a bit expensive compared to its competitors."

"MongoDB is not expensive."

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

More MongoDB Enterprise Advanced pricing and cost advice

"It is an expensive tool compared to its competitor."

"I believe that there is a yearly licensing cost and that it's expensive."

"The paid version of ScyllaDB is not that expensive. The main advantage of the paid version is direct support from the ScyllaDB team, which can resolve issues faster—typically within a day, compared to two to three days with the free version. The paid version also offers better guidance and support, while the free version has good documentation and is more high-level. I’d rate their support team nine out of ten because of the quick responses from their community."

"It's a bit expensive."

"It's free."

See which vendors are best for you

Use our free recommendation engine to learn which NoSQL Databases solutions are best for your needs.

See recommendations

893,915 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

16%

Comms Service Provider

Computer Software Company

Retailer

Financial Services Firm

15%

Manufacturing Company

Computer Software Company

University

Outsourcing Company

13%

Financial Services Firm

10%

Comms Service Provider

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	2
Large Enterprise	14

By reviewers
Company Size	Count
Small Business	36
Midsize Enterprise	13
Large Enterprise	39

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	8

Questions from the Community

What is your experience regarding pricing and costs for Cassandra?

The pricing for Cassandra is a little bit high, so it would be better for our community services if they consider com...

What needs improvement with Cassandra?

Regarding areas of improvement for Cassandra, currently, we are not facing significant issues. Some issues arise from...

What is your primary use case for Cassandra?

My use case for Cassandra is for a document and other unstructured data management system as well as structured data ...

What is your experience regarding pricing and costs for MongoDB?

I think it depends on the provider. For example, on DigitalOcean, they have strict routing. You have to whitelist an ...

What needs improvement with MongoDB?

I don't really have a deep dive into it, but I see that MongoDB Enterprise Advanced has RAG and Vertex support. Howev...

What is your primary use case for MongoDB?

A typical use case for MongoDB Enterprise Advanced is mostly for the database, storing our data.

What is your experience regarding pricing and costs for Scylla?

From what I’ve seen (and experienced), ScyllaDB pricing is very dependent on how you deploy it, and that’s where most...

What needs improvement with Scylla?

From a sales pitch standpoint, it needs to deliver on promises of better ROI and compaction. Additionally, ticketing ...

What is your primary use case for Scylla?

We dump a lot of our data, such as every entry created with respect to when a user rides a scooter, every record gets...

Couchbase Enterprise vs Cassandra

Comparisons

ClickHouse vs Cassandra

Compared 9% of the time

Compared 5% of the time

DataStax Enterprise vs Cassandra

Compared 5% of the time

Accumulo vs Cassandra

Compared 4% of the time

Cloudera Distribution for Hadoop vs Cassandra

Compared 4% of the time

More Cassandra Competitors

MongoDB Atlas vs MongoDB Enterprise Advanced

Compared 6% of the time

Microsoft Azure Cosmos DB vs MongoDB Enterprise Advanced

Compared 5% of the time

PostgreSQL vs MongoDB Enterprise Advanced

Compared 5% of the time

InfluxDB vs MongoDB Enterprise Advanced

Compared 5% of the time

More MongoDB Enterprise Advanced Competitors

Redis vs ScyllaDB

Compared 17% of the time

Apache HBase vs ScyllaDB

Compared 8% of the time

Couchbase Enterprise vs ScyllaDB

Compared 7% of the time

DataStax Enterprise vs ScyllaDB

Compared 7% of the time

Aerospike Database vs ScyllaDB

Compared 7% of the time

More ScyllaDB Competitors

Product Reports

Download Cassandra product report

Cassandra

May 2026

MongoDB Enterprise Advanced

April 2026

Download MongoDB Enterprise Advanced product report

Download ScyllaDB product report

April 2026

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 Enterprise Advanced is a comprehensive platform renowned for its scalability, user-friendliness, and high performance, underpinned by its flexible document-based storage and open-source model. JSON compatibility, clustering, and security elevate its standing among professionals.

The platform facilitates efficient data management through developer-friendly tools and a strong aggregation framework. MongoDB’s no-schema requirement, supported by community expertise, underlines its adaptability. While its sharding capabilities and affordably support large data volumes, there are aspects such as security enhancement and enterprise tool integration that need attention. Indexing and query optimization pose challenges, alongside high costs. Improvements in analytics and UI could advance its infrastructure further.

What are the key features of MongoDB Enterprise Advanced?

Scalability: Dynamic adjustments to workloads with ease.
JSON Compatibility: Seamless data structuring with JSON support.
Clustering: Enhanced data management through robust clustering.
Security Integration: Built-in security measures for data protection.
Sharding: Efficient distribution of large datasets.

What benefits should users look for in reviews?

Document-Based Storage: Flexibility in managing varied data types.
Open-Source: Access to a broad community and resources.
Low-Cost Implementation: Economic efficiency in deployment.
Scalability: Supports the growth of data without sacrificing performance.

Industries leverage MongoDB Enterprise Advanced for significant roles in data storage within IoT platforms, healthcare apps, public service monitoring, and big data analytics. Companies in logistics and telecommunications find it instrumental for business process management and video content management, benefiting from its seamless integration and unstructured data support.

MongoDB

ScyllaDB is known for its remarkable speed, efficiency, and reliability. It operates with minimal resources, supports large data volumes, and allows for meticulous fine-tuning. Enhanced by Seastar, it offers a performance edge over Cassandra and prioritizes ease of use with robust data synchronization.

ScyllaDB stands out for its capability in high-volume data handling, making it ideal for distributed systems. It integrates easily with APIs and supports user-defined types, providing flexibility through Cassandra SDK and DynamoDB. High availability, effective partitioning, easy updates, and rapid query responses enhance its appeal for organizations dealing with real-time analytics and time-series data management. However, users have noted the complexity in setup compared to MongoDB or Postgres and have highlighted the need for improvements in areas like data export, deletion processes, and documentation. There are also challenges with transactions, support response, compatibility, and AWS integration, with some requiring custom commands which may affect universality.

What are the key features of ScyllaDB?

Exceptional Speed: Achieves high performance through Seastar technology.
Efficiency: Consumes minimal computing resources while supporting substantial data volumes.
Reliability: Offers robust failover systems and data synchronization capabilities.
Flexible Integration: Supports APIs, user-defined types, Cassandra SDK, and DynamoDB.
High Availability: Ensures continuous access and effective partitioning.

Which benefits and ROI should users look for in reviews?

Cost Efficiency: Maximizes resource utilization with minimal expense.
Performance: Provides fast data querying crucial for real-time analytics.
Scalability: Easily manages large-scale and high-volume data needs.
Security: Ensures safe and secure data storage within distributed systems.

Industries like telecommunications, advertising, mobility services, and security implement ScyllaDB for managing extensive datasets and securing real-time data access. Its scalability and efficiency make it a preferred choice for data transformation services, harmonizing complex data flows with real-time analytics needs.