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.
"I value the API integrations."
"One of the most valuable features is the ability to Text Search can be used anywhere and anytime."
"MongoDB is cool. There is a difference between relational databases and newer databases like MongoDB. MongoDB is scalable and fast."
"MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial."
"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."
"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."
"We decided to work with MongoDB as its interface is easier to understand and more universal."
"The initial setup isn't really that complex."
"It is lightweight, and it requires less infrastructure."
"The performance aspects of Scylla are good, as always... A good point about Scylla is that it can be used extensively."
"The solution could have more integration."
"MongoDB should better support small and medium companies. There are a lot of clients out there that are interested, however, they need something lighter and less complex and something not so expensive upfront."
"I feel that most people don't know a lot about MongoDB, so maybe they could add some more documentation and tutorials."
"There is a need for improvement in MongoDB's customer support."
"It could be much more flexible like SequoiaDB. I would like to see more flexibility in the next release, especially when working with Microsoft Windows. A lot of people struggle with MongoDB because of their Windows versions. But Linux is faultless and mostly runs nicely."
"They could improve the UI and the analytics part."
"I rate the support from MongoDB a four out of five."
"Data encryption is possible using third-party tools but they should have their own encryption capability built-in to this solution."
"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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