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 (8th), Managed NoSQL Databases (4th)

ScyllaDB

Ranking in NoSQL Databases

8th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the NoSQL Databases category, the mindshare of MongoDB Enterprise Advanced is 12.7%, down from 16.7% compared to the previous year. The mindshare of ScyllaDB is 5.7%, down from 9.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
MongoDB Enterprise Advanced	12.7%
ScyllaDB	5.7%
Other	81.6%

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

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

"MongoDB is highly stable, and I would rate its stability at nine out of ten."

"It is convenient to use because we can do manipulations with the JSON data that we get, there are a lot of joins and associations with MongoDB, which makes it easy to use for us, and there is also a lot of transaction-related support from MongoDB."

"MongoDB is relatively fast compared to relational databases."

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

"The stability of the solution is very good, there are no bugs or glitches, it doesn't crash or freeze, and it's pretty good overall."

"It is easy to set up."

"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."

More MongoDB Enterprise Advanced pros

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

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

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

"Scalability in performance is good."

"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."

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

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

More ScyllaDB pros

Cons

"The scalability of the solution has room for improvement."

"From my point of view, they need a totally free IDE to work at high levels."

"The solution should have better integration."

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

"The performance can be improved."

"MongoDB should improve its data loading part."

"There is room for improvement in integrating MongoDB with agentive AI solutions."

"The stability could be improved."

More MongoDB Enterprise Advanced cons

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

"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."

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

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

"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."

"ScyllaDB needs to improve its handling of transactions."

More ScyllaDB cons

Pricing and Cost Advice

"I only used the open-source version."

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

"MongoDB's pricing is not reasonable, but it is not as expensive as the others."

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

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

"We use the open-source version, which is available to use free of charge."

"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."

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

More MongoDB Enterprise Advanced pricing and cost advice

"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."

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

"It's a bit expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

Outsourcing Company

Comms Service Provider

Outsourcing Company

15%

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

September 2026

Download MongoDB Enterprise Advanced product report

Download ScyllaDB product report

August 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