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, ScyllaDB, Microsoft and others in NoSQL Databases.

To learn more, read our detailed NoSQL Databases Report (Updated: August 2025).

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NoSQL Databases

August 2025

Helped 865,140 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 August 2025, in the NoSQL Databases category, the mindshare of Cassandra is 9.7%, down from 13.4% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 15.1%, down from 25.4% compared to the previous year. The mindshare of ScyllaDB is 10.0%, down from 10.4% 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 Mjunction Services

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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Uttam Giri

Lead Network Engineer at First Orion

Offers encryption and supports APIs, making it great for distributed systems

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.

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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 technical evaluation is very good."

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

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

"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."

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

"The most valuable features of Cassandra are the NoSQL database, high performance, and zero-copy streaming."

"Our primary use case for the solution is testing."

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

More Cassandra pros

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

"I like the schemaless architecture that it follows. I also like the sharding that it provides."

"It's easy to add and remove things in MongoDB. You can alter the tables. MongoDB is faster at reading, slower at writings."

"The most valuable feature is the speed of MongoDB."

"One of the biggest benefits is the speed and flexibility of the documents, especially when it comes to modifications."

"The most valuable feature of MongoDB is the NoSQL database. In a SQL database, we need to join data together with a unique ID amongst other things, but in MongoDB, it's not required. We can directly receive all the information. The performance is very good. Additionally, they have frequent updates."

"The most valuable feature is the geometric information done with GeoJSON."

"One of the most valuable features is the ability to Text Search can be used anywhere and anytime."

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."

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

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

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

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

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

"ScyllaDB is very fast, and I can use it for so many things."

More ScyllaDB pros

Cons

"The solution doesn't have joins between tables so you need other tools for that."

"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."

"The disc space is lacking. You need to free it up as you are working."

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

"Interface is not user friendly."

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

"Doesn't support a solution that can give aggregation."

"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."

More Cassandra cons

"MongoDB would be improved with more integration, particularly for cloud environments like Google BigQuery."

"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."

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

"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."

"It would be good to have scalability for clusters. For example, if we have three clusters, we should be able to increase to five clusters if required. I am not sure if such a feature is currently there. I hope there is good documentation for this."

"We find it difficult to incorporate MongoDB in some projects."

"More stable indexes would be helpful in a future release. That's been an issue for some time. I don't know if it's been fixed now but we transitioned to it because we needed a search index to be able to search for things and if that goes or starts disappearing, we have to move away from that solution. I don't know if they fixed it, last time I had this issue was three years ago so they might have solved it."

More MongoDB Enterprise Advanced cons

"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."

"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."

"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."

"ScyllaDB needs to improve its handling of transactions."

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

"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."

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

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

More ScyllaDB cons

Pricing and Cost Advice

"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."

"We pay for a license."

"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."

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

"Our customers pay for yearly licenses for MongoDB."

"MongoDB is an open-source solution."

"It is rather expensive."

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

"MongoDB is not expensive."

"I believe that the licensing fees are paid on a yearly basis."

"We are using the Community Edition of MongoDB."

"The pricing is normal. Price-wise, the product is not too much expensive."

More MongoDB Enterprise Advanced pricing and cost advice

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

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

"It's free."

"It's a bit 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."

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

12%

Comms Service Provider

Retailer

Financial Services Firm

15%

Computer Software Company

11%

Manufacturing Company

University

Computer Software Company

16%

Financial Services Firm

13%

Comms Service Provider

Hospitality 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 pay approximately 2,000 euros per month for MongoDB.

What needs improvement with MongoDB?

I'm not sure about the documentation or the knowledge bases available for MongoDB because I don't interact with it at...

What is your experience regarding pricing and costs for Scylla?

The enterprise version comes with a cost of about $300,000 per year, however, we did not experience the promised comp...

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

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InfluxDB vs Cassandra

Compared 6% of the time

Chroma vs Cassandra

Compared 5% of the time

Neo4j Graph Database vs Cassandra

Compared 5% of the time

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InfluxDB vs MongoDB Enterprise Advanced

Compared 10% of the time

Couchbase Enterprise vs MongoDB Enterprise Advanced

Compared 7% of the time

Milvus vs MongoDB Enterprise Advanced

Compared 6% of the time

Microsoft Azure Cosmos DB vs MongoDB Enterprise Advanced

Compared 5% of the time

Apache HBase vs MongoDB Enterprise Advanced

Compared 3% of the time

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Redis vs ScyllaDB

Compared 18% of the time

Couchbase Enterprise vs ScyllaDB

Compared 13% of the time

Aerospike Database 7 vs ScyllaDB

Compared 11% of the time

Apache HBase vs ScyllaDB

Compared 10% of the time

InfluxDB vs ScyllaDB

Compared 9% of the time

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Product Reports

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Cassandra

August 2025

MongoDB Enterprise Advanced

August 2025

Download MongoDB Enterprise Advanced product report

Download ScyllaDB product report

July 2025

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 an open-source, distributed NoSQL wide-column datastore (a highly scalable NoSQL database), known for its compatibility with Apache Cassandra, and for supporting the same protocols as Cassandra (CQL and Thrift) and the same file formats (SSTable). ScyllaDB is designed for high throughput and low latency, making it suitable for data-intensive applications. Its architecture allows it to deliver remarkable performance on a massive scale, utilizing modern multi-core servers to their fullest potential

ScyllaDB utilizes a similar architecture, data format, and query language as Apache Cassandra, providing compatibility while dramatically improving speed and scalability.

The key advantages of ScyllaDB include its rewritten C++ implementation that eliminates Cassandra's expensive Java garbage collection pauses, built-in caching for fast access to frequently used data, and shard-aware drivers for direct routing of requests. This enables it to fully leverage modern multi-core servers for massive parallelism. The community is active and the latest major release, ScyllaDB Enterprise 2023.1.0 LTS, incorporates over 5,000 code commits focused on enhancing capabilities.

ScyllaDB supports wide-column data modeling for fast read performance at scale. It includes integrated monitoring and management tools to track database health and performance. For organizations looking to boost speed and reduce costs for NoSQL workloads, ScyllaDB offers a drop-in replacement for Cassandra that delivers lower latency, higher throughput, and increased scalability with fewer nodes. Its seamless migration path makes switching from Cassandra seamless, requiring minimal code changes.