MongoDB Enterprise Advanced vs ScyllaDB comparison

MongoDB Enterprise Advanced

Read 12 ScyllaDB reviews

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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: September 2026).

MongoDB Enterprise Advanced vs. ScyllaDB

September 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 (9th), Managed NoSQL Databases (4th)

ScyllaDB

Ranking in NoSQL Databases

9th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2026, in the NoSQL Databases category, the mindshare of MongoDB Enterprise Advanced is 11.3%, down from 16.2% compared to the previous year. The mindshare of ScyllaDB is 5.6%, down from 8.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
MongoDB Enterprise Advanced	11.3%
ScyllaDB	5.6%
Other	83.1%

NoSQL Databases

Featured Reviews

Romel Jr Zerna

Software Engineer at Pioneer Dev AI

Document data has streamlined prototyping and now supports secure cloud deployments

I use the cloud version of the product. MongoDB Enterprise Advanced is from MongoDB, though I also use DigitalOcean as a third-party provider. Maybe it's all more about preferences. I think MongoDB Enterprise Advanced has weak support on the ORM side, particularly if you're using Prisma. I think mostly the focus now on the tools we have is PostgreSQL. MongoDB Enterprise Advanced is not really used that much on our side for production. It's not really a weak point. It's more of a double-edged sword. If you like document-based management databases and you don't want any migrations, then you go to MongoDB Enterprise Advanced. If you want more secure databases, then you use SQL. On the account management and the way you secure the connection strings, I have utilized advanced security features with MongoDB Enterprise Advanced. I think it's very expensive on the Atlas enterprise side. But if you go to other providers of MongoDB Enterprise Advanced, such as DigitalOcean, it may be harder to set up, but they can save you money.

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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

"MongoDB has helped my organization by being able to handle large amounts of data."

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

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

"It is very easy to create a MongoDB cluster. You can deploy three nodes in one hour. You can do small configurations to enable routing. It is easy to implement."

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

"My advice for anybody who is considering MongoDB is that when we want to have flexibility in storing our data, I recommend using it."

"The solution does not hold data in tabular format like SQL does but rather clusters data so that it can link on a large scale."

"It is very fast - faster than an SQL or MySQL Server."

More MongoDB Enterprise Advanced pros

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

"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."

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

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

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

"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."

More ScyllaDB pros

Cons

"The scalability of the product is acceptable, but with MongoDB, the big problem is the cost."

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

"The performance of the solution could be improved."

"Our program developer finds it to be a little unstable, development-wise."

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

"MongoDB could be more secure."

"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."

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

More MongoDB Enterprise Advanced cons

"ScyllaDB needs to improve its handling of transactions."

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

"We've had occasional performance challenges that required resource adjustments or optimizations in our interaction with the platform."

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

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

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

More ScyllaDB cons

Pricing and Cost Advice

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

"I only used the open-source version."

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

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

"The product is affordable."

"MongoDB is not expensive."

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

"The solution is open source so is free."

More MongoDB Enterprise Advanced pricing and cost advice

"It's a bit expensive."

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

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

14%

Manufacturing Company

Comms Service Provider

Outsourcing Company

14%

Comms Service Provider

11%

Transportation Company

Financial Services Firm

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...

MongoDB Atlas vs MongoDB Enterprise Advanced

Comparisons

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Compared 4% of the time

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Compared 4% of the time

MySQL vs MongoDB Enterprise Advanced

Compared 4% of the time

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Compared 14% of the time

Cassandra vs ScyllaDB

Compared 13% of the time

Apache HBase vs ScyllaDB

Compared 8% of the time

Aerospike Database vs ScyllaDB

Compared 6% of the time

DataStax Enterprise vs ScyllaDB

Compared 6% of the time

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Product Reports

MongoDB Enterprise Advanced

October 2026

Download MongoDB Enterprise Advanced product report

Download ScyllaDB product report

October 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