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: June 2026).

MongoDB Enterprise Advanced vs. ScyllaDB

June 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

2nd

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Open Source Databases (7th), Managed NoSQL Databases (6th)

ScyllaDB

Ranking in NoSQL Databases

7th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the NoSQL Databases category, the mindshare of MongoDB Enterprise Advanced is 13.1%, down from 15.2% compared to the previous year. The mindshare of ScyllaDB is 5.9%, 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	13.1%
ScyllaDB	5.9%
Other	81.0%

NoSQL Databases

Featured Reviews

Anand Bandi

Co-Founder at Vsigma IT Labs Pvt Ltd

Have managed customer transaction data efficiently and supported high-demand workloads with reliable performance

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 could see. I will not be able to clearly say there is currently a deficiency there. All our DBs are integrated with a backend data warehouse, not necessarily AWS. When third-party data warehouses are integrated, we are seeing some ETL job performance issues. It is a one-off scenario so we have not thoroughly done any troubleshooting on that. It could be platform or third-party related issue. From the AWS standpoint, if robust integration and data warehouse integration specific tools are added in the advanced suite, that would definitely be helpful.

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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 most valuable feature is that you can store unstructured data, which is helpful when you don't know what the best structure should be and you cannot use a relational database because of that."

"The Dynamic Application is a valuable feature."

"It is really a pretty easy product to use. It's very reliable, it's proven."

"One of the first things I noticed when I had my first experience with MongoDB was how easy it was to use. I was expecting more difficulties or at least some challenges, but it was very, very easy to use. It's great technology, performs well, and is very convenient."

"Based on our experience so far, it is stable."

"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 geometric information done with GeoJSON."

"MongoDB is fast and efficient."

More MongoDB Enterprise Advanced pros

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

"Scalability in performance is good."

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

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

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

"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."

More ScyllaDB pros

Cons

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

"It would help if MongoDB offered a light solution for small projects."

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

"MongoDB has a "heavy" architecture, which limits the scalability options."

"The solution could include more integrations with other platforms."

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

"The user interface is not as friendly as Oracle, which is something that can be improved."

"The solution should have better integration."

More MongoDB Enterprise Advanced cons

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

"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."

"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."

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

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

"ScyllaDB needs to improve its handling of transactions."

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

More ScyllaDB cons

Pricing and Cost Advice

"The product is affordable."

"You only have to pay for the paid version, not the open-source version."

"MongoDB is not expensive."

"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."

"There is an enterprise license and it could be cheaper. We are using the free open source version."

"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."

"I only used the open-source version."

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."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

Construction Company

Comms Service Provider

Outsourcing Company

14%

Comms Service Provider

Financial Services Firm

Transportation Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 MongoDB?

I think it depends on the provider. For example, on DigitalOcean, they have strict routing. You have to whitelist an IP address, or you risk getting DDoS. Then if you're going for the Atlas one tha...

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. However, we really didn't use it because I think one thing also is that Prisma, the O...

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 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

July 2026

Download MongoDB Enterprise Advanced product report

Download ScyllaDB product report

July 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 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.

Sample Customers

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

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