Cassandra vs MongoDB Enterprise Advanced vs ScyllaDB comparison

MongoDB Enterprise Advanced

Read 12 ScyllaDB reviews

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Cassandra

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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, Redis and others in NoSQL Databases.

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

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NoSQL Databases

May 2026

Helped 900,125 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 2026, in the NoSQL Databases category, the mindshare of Cassandra is 8.3%, down from 10.6% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 13.2%, down from 16.2% compared to the previous year. The mindshare of ScyllaDB is 6.2%, down from 10.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
MongoDB Enterprise Advanced	13.2%
ScyllaDB	6.2%
Cassandra	8.3%
Other	72.3%

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.

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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.

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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.

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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

"The solution provided us with more than 100K PNRs a second and because the company was international there was a heavy data write, and at the same time a heavy data read."

"Cassandra is a stable solution."

"It's used as our cloud based backend store as a temporary cache and for storing data that streams through our data pipe."

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

"A consistent solution."

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

"Cassandra is good, it's better than CouchDB, and we are using it in parallel with CouchDB, as 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."

More Cassandra pros

"We capture more than 30 million records every week in IoT NS and MongoDB has been serving us well so far, making it easier to maintain the data with its document-based storage."

"For people or businesses that are currently trying to put their feet in the industry, it is a good thing to start their career with MongoDB."

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

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

"MongoDB is the best choice for us when we want to store NoSQL-type data."

"The most valuable features of MongoDB are the variety of translations available and the ability to deploy it on the cloud is useful. The cloud users can access the data, work on the data, and if they want to import or manipulate some data they can."

"The feature I find most valuable is that it is easy to use and even a non-technical person will be able to understand it."

"I like its performance and the stability; it's very stable and, performance-wise, it's really great."

More MongoDB Enterprise Advanced pros

"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."

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

"Scalability in performance is good."

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

"The performance and scalability are good, and we hardly see any major issues with ScyllaDB."

"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 documentation is good. It integrates easily with our existing data infrastructure."

"ScyllaDB is fast and reliable. It has good performance."

More ScyllaDB pros

Cons

"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."

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

"The interface could definitely be improved. It's a technical database and for me the features are not user friendly."

"One of the issues with the solution is that you cannot drop write like you're able to in MongoDB and MySQL, where you can join tables."

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

"Cassandra can improve by adding more built-in tools. For example, if you want to do some maintenance activities in the cluster, we have to depend on third-party tools. Having these tools build-in would be e benefit."

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

"The clustering needs to be better; it is getting there."

More Cassandra cons

"They could provide more documentation and examples for adding pipeline stages."

"MongoDB could be more secure."

"There is room for improvement in integrating MongoDB with agentive AI solutions."

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

"The stability could be better."

"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."

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

More MongoDB Enterprise Advanced cons

"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."

"ScyllaDB needs to improve its handling of transactions."

"Some of the regular commands in NoSQL do not work."

"If you don't have the best computing resources, then it's not easy to set up. In such cases, we have to run ScyllaDB in developer mode."

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

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

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

"It seems we have better options available. So probably don't go for ScyllaDB. The reason is, first, it's very high. It's not as straightforward as, like, Postgres or ClickHouse to set up. It requires a complex setup."

More ScyllaDB 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."

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

"We pay for a license."

"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."

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

"The solution is open source, so it is free."

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

"It's open-source."

"I believe that MongoDB is free."

"I currently use the solution's community edition which is free."

"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."

"This is an open-source solution."

"MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."

More MongoDB Enterprise Advanced pricing and cost advice

"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."

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

"It's a bit expensive."

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

"It's free."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Construction Company

Comms Service Provider

Computer Software Company

Financial Services Firm

15%

Manufacturing Company

Computer Software Company

Construction Company

Outsourcing Company

12%

Financial Services Firm

Comms Service Provider

Manufacturing 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...

DataStax Enterprise vs Cassandra

Comparisons

ClickHouse vs Cassandra

Compared 8% of the time

Compared 5% of the time

Cloudera Distribution for Hadoop vs Cassandra

Compared 5% of the time

Couchbase Enterprise vs Cassandra

Compared 5% of the time

Neo4j Graph Database vs Cassandra

Compared 4% of the time

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MongoDB Atlas vs MongoDB Enterprise Advanced

Compared 6% of the time

PostgreSQL vs MongoDB Enterprise Advanced

Compared 5% of the time

Microsoft Azure Cosmos DB vs MongoDB Enterprise Advanced

Compared 5% of the time

InfluxDB vs MongoDB Enterprise Advanced

Compared 5% of the time

Couchbase Enterprise vs MongoDB Enterprise Advanced

Compared 4% of the time

More MongoDB Enterprise Advanced Competitors

Redis vs ScyllaDB

Compared 15% of the time

Apache HBase vs ScyllaDB

Compared 7% of the time

Aerospike Database vs ScyllaDB

Compared 7% of the time

Couchbase Enterprise vs ScyllaDB

Compared 7% of the time

DataStax Enterprise vs ScyllaDB

Compared 7% of the time

More ScyllaDB Competitors

Product Reports

Download Cassandra product report

Cassandra

June 2026

MongoDB Enterprise Advanced

May 2026

Download MongoDB Enterprise Advanced product report

Download ScyllaDB product report

May 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.