MongoDB Enterprise Advanced vs ScyllaDB comparison

MongoDB Enterprise Advanced

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Executive SummaryUpdated on Feb 8, 2026

MongoDB Enterprise Advanced and ScyllaDB are competitors in the NoSQL database category. MongoDB seems to have the upper hand due to its strong community support, flexible deployment options, and cost-effectiveness.

Features: MongoDB Enterprise Advanced is known for JSON-based flexible schema, enterprise integration, and reliable documentation, making it ideal for semi-structured data like healthcare data. It excels in scalability and offers cloud deployment options, fostering simplified data storage for developers. ScyllaDB is optimized for performance, utilizing C++ for speed and reliability, especially with time-series data, and supports massive data sets with built-in partitioning and high availability.

Room for Improvement: MongoDB Enterprise Advanced could improve integration with external tools, security measures, and hierarchical data support. Enhancements in documentation and search functionality are needed. ScyllaDB's documentation and transactional deletion efficiency need upgrades; query performance with large data volumes presents a challenge, and compatibility and support systems require development.

Ease of Deployment and Customer Service: MongoDB Enterprise Advanced provides flexibility in deployment across hybrid, private, and public clouds, backed by a strong community and technical support for paid versions. However, on-premises deployment can be complex. ScyllaDB also offers cloud deployment but demands significant technical expertise and may not resolve support issues quickly compared to MongoDB’s vast community resources.

Pricing and ROI: MongoDB offers both a free open-source version and paid licenses that provide advanced features, making it cost-effective with significant ROI for small and large projects. ScyllaDB's enterprise version costs approximately $300,000 per year, offering robust support and fast issue resolution that enhance ROI despite high initial expenses. Both databases leverage community resources to offset some costs.

To learn more, read our detailed MongoDB Enterprise Advanced vs. ScyllaDB Report (Updated: March 2026).

MongoDB Enterprise Advanced vs. ScyllaDB

March 2026

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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

4th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the NoSQL Databases category, the mindshare of MongoDB Enterprise Advanced is 13.7%, down from 19.8% compared to the previous year. The mindshare of ScyllaDB is 7.3%, 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	13.7%
ScyllaDB	7.3%
Other	79.0%

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.

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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.

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 solution is user-friendly with a good object retrieval feature."

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

"The most valuable features of MongoDB are we have a lot of documentation and SQL-based applications that run on it."

"Easier to maintain the data with its document-based storage."

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

"Sharding is an excellent feature of MongoDB."

"It can handle a lot of files quickly."

"MongoDB has many good replication features and good performance."

More MongoDB Enterprise Advanced pros

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

"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."

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

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

"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."

"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."

More ScyllaDB pros

Cons

"It could be much more flexible like SequoiaDB. I would like to see more flexibility in the next release, especially when working with Microsoft Windows. A lot of people struggle with MongoDB because of their Windows versions. But Linux is faultless and mostly runs nicely."

"The auto transaction feature is something that I found a little bit problematic. If we want to run two or three transactions at a time, we get write conflicts. So, it becomes really difficult when concurrency comes into the picture."

"I don't see a lot of areas that need improvement."

"A normal Oracle or database tester will take some time to gear up to MongoDB because the way of writing queries is different in MongoDB. There should be some kind of midway where a person who is coming from an Oracle background can write a query and get a response by using something like a select * statement or other such things. There should be some way for MongoDB to interpret these commands rather than making a person learn MongoDB commands and writing them. I struggled while writing these MongoDB commands. I had not seen such queries before. It was pretty difficult to get them. This is one of the areas where it would help from the improvement standpoint."

"It could be more stable. It would be better if it were more user-friendly like Oracle, which is very easy. For example, creating an index is simple in Oracle. In MongoDB, it's quite challenging to do that. Performance could be better. It's fast and good, but you cannot put every application that you would like to in MongoDB."

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

"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."

"When third-party data warehouses are integrated, we are seeing some ETL job performance issues."

More MongoDB Enterprise Advanced cons

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

"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."

"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."

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

"ScyllaDB needs to improve its handling of transactions."

"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."

"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."

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

More ScyllaDB cons

Pricing and Cost Advice

"We are using the Community Edition of MongoDB."

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

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

"This is an open-source solution."

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

"MongoDB is an open-source product."

"Our customers pay for yearly licenses for MongoDB."

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

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."

"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."

"It's free."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

Manufacturing Company

University

Outsourcing Company

12%

Comms Service Provider

Financial Services Firm

Computer Software Company

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?

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

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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Product Reports

MongoDB Enterprise Advanced

March 2026

Download MongoDB Enterprise Advanced product report

Download ScyllaDB product report

February 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