We performed a comparison between Amazon QLDB and MongoDB based on real PeerSpot user reviews.
Find out what your peers are saying about MongoDB, Couchbase, InfluxData and others in NoSQL Databases."The product enables the users to query results faster."
"Migrating to MongoDB upgrades the IT environment and puts users in the NoSQL environment, which is faster."
"The solution is user-friendly with a good object retrieval feature."
"We've found the product to be scalable."
"The clustering is very good. It allows us to have high availability."
"MongoDB is scalable and stable. The initial setup is very easy, and deployment and maintenance can be done by one person."
"We find the query and speed very valuable."
"It's super easy to develop a couple of solutions for clients with MongoDB, like a quick web page with no clear data structure that they need to spin up quickly to validate some sort of MDTP."
"I find the integration with other tools very easy."
"The product should enable users to import data from various databases."
"It is important to note that MongoDB has limitations since it can only be used for specific use cases. For example, for master data, I would want to pick keys using an RDBMS, but for attachments, I would choose MongoDB."
"We'd like information about client onboarding experience and success stories. It would help to have something to show to internal stakeholders."
"MongoDB should be more stable, and support should be more efficient."
"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."
"A normal Oracle or database tester will take some time to gear up to MongoDB because the way of writing queries is different in MongoDB. There should be some kind of midway where a person who is coming from an Oracle background can write a query and get a response by using something like a select * statement or other such things. There should be some way for MongoDB to interpret these commands rather than making a person learn MongoDB commands and writing them. I struggled while writing these MongoDB commands. I had not seen such queries before. It was pretty difficult to get them. This is one of the areas where it would help from the improvement standpoint."
"There should be better integration with other databases."
"I think it would be good to have more search options such as an index resource. This will provide more options and resources to do advance searches."
"The auto transaction feature is something that I found a little bit problematic. If we want to run two or three transactions at a time, we get write conflicts. So, it becomes really difficult when concurrency comes into the picture."
Amazon QLDB is ranked 11th in NoSQL Databases with 1 review while MongoDB is ranked 1st in NoSQL Databases with 69 reviews. Amazon QLDB is rated 8.0, while MongoDB is rated 8.2. The top reviewer of Amazon QLDB writes "A fast and affordable solution that is scalable and has a nice dashboard". On the other hand, the top reviewer of MongoDB writes "Lightweight with good flexibility and very fast performance for searching data". Amazon QLDB is most compared with , whereas MongoDB is most compared with InfluxDB, Couchbase, ScyllaDB, Cassandra and Qdrant.
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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.
