MongoDB Enterprise Advanced vs ScyllaDB comparison

MongoDB Enterprise Advanced

Read 12 ScyllaDB reviews

2,015 Views
1,995 Comparison Views

91% willing to recommend

Comparison Buyer's Guide

Download the report

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

Download the complete report

Helped 884,873 peers since 2012

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.

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 most valuable feature is the speed of MongoDB."

"The community is great if you have problem."

"My impression is that the initial setup is straightforward."

"It is easy to use."

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

"The aggregation framework is very powerful when elaborating on data."

"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."

"MongoDB is relatively fast compared to relational databases."

More MongoDB Enterprise Advanced pros

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

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

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

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

"The performance and scalability are good, and we hardly see any major issues with ScyllaDB."

"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."

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

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

More ScyllaDB pros

Cons

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

"The transaction could use improvement. From MySQL, for example, you cannot create a transaction if you are reading and writing a document at the same time."

"MongoDB should support TypeScript."

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

"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."

"MongoDB could be more secure."

"You need integration with other tools to run the query in MongoDB."

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

More MongoDB Enterprise Advanced cons

"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."

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

"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."

"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."

"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 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."

"MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."

"MongoDB's pricing is reasonable."

"It is rather expensive."

"I believe that MongoDB is free."

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

"It's open-source."

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

More MongoDB Enterprise Advanced pricing and cost advice

"It's free."

"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."

See which vendors are best for you

Use our free recommendation engine to learn which NoSQL Databases solutions are best for your needs.

See recommendations

884,873 professionals have used our research since 2012.

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...

MongoDB Atlas vs MongoDB Enterprise Advanced

Comparisons

Compared 5% of the time

Microsoft Azure Cosmos DB vs MongoDB Enterprise Advanced

Compared 5% of the time

InfluxDB vs MongoDB Enterprise Advanced

Compared 5% of the time

Couchbase Enterprise vs MongoDB Enterprise Advanced

Compared 5% of the time

OpenSearch vs MongoDB Enterprise Advanced

Compared 3% of the time

More MongoDB Enterprise Advanced Competitors

Redis vs ScyllaDB

Compared 17% of the time

Apache HBase vs ScyllaDB

Compared 10% of the time

Cassandra vs ScyllaDB

Compared 10% of the time

Couchbase Enterprise vs ScyllaDB

Compared 10% of the time

Aerospike Database vs ScyllaDB

Compared 9% of the time

More ScyllaDB Competitors

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