We compared ScyllaDB and MongoDB across several key parameters based on reviews from actual users of both databases. While both are mature solutions, ScyllaDB's technical architecture gives it performance and scalability advantages for demanding workloads. But MongoDB provides a wider range of deployment options more aligned with early-stage growth. Below is a summary of our findings:
Based on user experiences, ScyllaDB's multiprimary design provides very high performance at scale, with solid throughput and low latency suited for data-intensive workloads. MongoDB offers more implementation flexibility but lags in scalability. For large-scale distributed applications, ScyllaDB has advantages in speed, simplicity and efficiency.
"The most valuable feature is the speed of MongoDB."
"MongoDB is easy to use."
"The aggregation framework is very powerful when elaborating on data."
"It is very fast - faster than an SQL or MySQL Server."
"The community is great if you have problem."
"It facilitates the generation of heatmaps for graphical data analysis."
"One of the most valuable features is the ability to Text Search can be used anywhere and anytime."
"In our case, it is most important to have redundancy."
"The performance aspects of Scylla are good, as always... A good point about Scylla is that it can be used extensively."
"It is lightweight, and it requires less infrastructure."
"The performance of the solution could be improved."
"MongoDB can improve large-size video or media frame operations. There are a lot of customers who want to upload media frames and video games but there is some difficulty. In MongoDB, we are looking out for solutions that are for large-size media files that can be saved and navigated efficiently."
"The performance could be faster."
"We'd like information about client onboarding experience and success stories. It would help to have something to show to internal stakeholders."
"Data encryption is possible using third-party tools but they should have their own encryption capability built-in to this solution."
"The solution could include more integrations with other platforms."
"There is a need for improvement in MongoDB's customer support."
"The solution should more easily integrate with custom code."
"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."
MongoDB is ranked 1st in NoSQL Databases with 69 reviews while ScyllaDB is ranked 6th in NoSQL Databases with 2 reviews. MongoDB is rated 8.2, while ScyllaDB is rated 7.6. The top reviewer of MongoDB writes "Lightweight with good flexibility and very fast performance for searching data". On the other hand, the top reviewer of ScyllaDB writes "A solution that offers good performance and flexibility to its users". MongoDB is most compared with InfluxDB, Couchbase, Oracle NoSQL, Cassandra and Oracle Berkeley DB, whereas ScyllaDB is most compared with Cassandra, Couchbase, Apache HBase, InfluxDB and Aerospike Database 7. See our MongoDB vs. ScyllaDB report.
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We monitor all NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
