MongoDB Enterprise Advanced vs ScyllaDB comparison

MongoDB Enterprise Advanced

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Executive SummaryUpdated on Nov 2, 2025

MongoDB Enterprise Advanced and ScyllaDB compete in the NoSQL database category, each offering unique strengths. MongoDB seems to have the upper hand due to its flexibility, large community support, and versatility in various environments.

Features: MongoDB Enterprise Advanced is appreciated for its scalability, JSON capabilities, and robust security measures, excelling in handling semi-structured data efficiently. ScyllaDB shines with its extremely fast performance, particularly in high data ingestion scenarios, and its low resource footprint makes it well-suited for distributed systems with high availability.

Room for Improvement: MongoDB Enterprise Advanced could enhance its security features, improve integration with BI tools, and benefit from updated documentation and training resources. ScyllaDB needs better documentation for new developers, improvements in transaction handling, and a simplified setup process to ease initial deployment challenges.

Ease of Deployment and Customer Service: MongoDB Enterprise Advanced is versatile across hybrid, public, and private clouds, supported well by a large community, though official support varies by subscription type. ScyllaDB is mostly deployed on hybrid and on-premises infrastructures, with effective technical support available in its paid version, although it may lack universal query compatibility.

Pricing and ROI: MongoDB offers a free community version with paid tiers that provide different support levels; however, costs can be high at the enterprise level. Despite the licensing fees, it offers cost-effectiveness compared to alternatives like Oracle. ScyllaDB's paid version is expensive but justified by its speed and support. While both databases offer fair ROI, MongoDB is particularly valued for its accessible community version.

To learn more, read our detailed MongoDB Enterprise Advanced vs. ScyllaDB Report (Updated: December 2025).

MongoDB Enterprise Advanced vs. ScyllaDB

December 2025

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Review summaries and opinions

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

Categories and Ranking

MongoDB Enterprise Advanced

Ranking in NoSQL Databases

1st

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Open Source Databases (6th), Managed NoSQL Databases (4th)

ScyllaDB

Ranking in NoSQL Databases

3rd

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the NoSQL Databases category, the mindshare of MongoDB Enterprise Advanced is 15.0%, down from 21.1% compared to the previous year. The mindshare of ScyllaDB is 8.3%, down from 10.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Market Share Distribution
Product	Market Share (%)
MongoDB Enterprise Advanced	15.0%
ScyllaDB	8.3%
Other	76.7%

NoSQL Databases

Featured Reviews

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

"The tool is also user-friendly."

"It's easy to use."

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

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

"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 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."

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

"It facilitates the generation of heatmaps for graphical data analysis."

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."

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

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

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

"The database is easy to use, fast, and accessible for applications because the API is straightforward."

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

"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."

More ScyllaDB pros

Cons

"We'd like technical support to respond faster to queries."

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

"MongoDB could be more secure."

"MongoDB could improve by not having so many updates and different versions."

"The product's data consistency could be more efficient than traditional SQLs."

"Actually, with MongoDB, it's difficult to calculate the return on investment; it's too expensive for our use."

"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."

"There was a need for integrating relational database capabilities, however, MongoDB has introduced a relational converter that allows conversion between SQL and NoSQL."

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."

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

"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."

"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 documentation is not well established for new developers."

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

"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."

More ScyllaDB cons

Pricing and Cost Advice

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

"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."

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

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

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

"It is rather expensive."

"MongoDB is a free solution. We wanted to have high availability and the subscription cost was quite expensive because the basic one is free and then when you want to have some other replications or other features you will need to pay money. Overall the solution is expensive."

"There is an annual subscription for the use of this solution."

More MongoDB Enterprise Advanced pricing and cost advice

"It's a bit expensive."

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

"It's free."

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

"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

15%

Computer Software Company

Manufacturing Company

University

Financial Services Firm

11%

Comms Service Provider

10%

Computer Software Company

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	35
Midsize Enterprise	13
Large Enterprise	38

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

Questions from the Community

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 bit of cost pressure but it's acceptable. I will not be able to elaborate on th...

What needs improvement with MongoDB?

The integration between data warehouse could be improved. Nowadays, a lot of data is getting generated, so certain ETL flexible scripts with backend database integrations would be an improvement I ...

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 compaction benefits.

What needs improvement with Scylla?

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 updated to ScyllaDB. It is used as a single source of truth and it manages mass...

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Compared 11% of the time

Aerospike Database 7 vs ScyllaDB

Compared 10% of the time

Cassandra vs ScyllaDB

Compared 8% of the time

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Product Reports

MongoDB Enterprise Advanced

January 2026

Download MongoDB Enterprise Advanced product report

Download ScyllaDB product report

January 2026

Overview

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.

Sample Customers

Facebook, MetLife, City of Chicago, Expedia, eBay, Google

IBM, Investing.com, mParticle, Comcast, GE, Fanatics, Ola, CERN, adgear, Samsung