We performed a comparison between MongoDB and Oracle NoSQL based on real PeerSpot user reviews.
Find out what your peers are saying about MongoDB, Couchbase, InfluxData and others in NoSQL Databases."The solution has good flexibility and very fast performance for searching data."
"One of the most valuable features is the ability to Text Search can be used anywhere and anytime."
"The most valuable feature of MongoDB is the ease of connections, aggregation, and queries."
"The most valuable feature of MongoDB is the NoSQL database. In a SQL database, we need to join data together with a unique ID amongst other things, but in MongoDB, it's not required. We can directly receive all the information. The performance is very good. Additionally, they have frequent updates."
"It can handle a lot of files quickly."
"The most valuable feature is the speed of MongoDB."
"The solution does not hold data in tabular format like SQL does but rather clusters data so that it can link on a large scale."
"The initial setup isn't really that complex."
"The product meets expectations when it comes to stability."
"The tool performs well."
"NoSQL has high availability. I think it's perfect from a technical perspective. It's quick to run and go."
"The tool is easy to learn."
"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."
"MongoDB would be improved with more integration, particularly for cloud environments like Google BigQuery."
"The solution could have more integration."
"It has certain limitations when it comes to handling hierarchical data, enforcing relationships, and performing complex joins, which should be taken into account when designing databases for applications with intricate data requirements."
"MongoDB could be more secure."
"More stable indexes would be helpful in a future release. That's been an issue for some time. I don't know if it's been fixed now but we transitioned to it because we needed a search index to be able to search for things and if that goes or starts disappearing, we have to move away from that solution. I don't know if they fixed it, last time I had this issue was three years ago so they might have solved it."
"The MongoDB documentation can be a little complicated sometimes."
"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."
"Oracle could improve how NoSQL works in containers. I don't think NoSQL needs any new features, but I want to see new features in the Oracle Cloud Infrastructure. I would like to see some improvements in OCI's building options."
"The licensing model is bad."
"The installation is difficult."
"Handling big data in a user-friendly way is currently a bit of an issue. The dashboard for this needs some work."
MongoDB is ranked 1st in NoSQL Databases with 70 reviews while Oracle NoSQL is ranked 8th in NoSQL Databases with 7 reviews. MongoDB is rated 8.2, while Oracle NoSQL is rated 8.2. 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 Oracle NoSQL writes "The implementation is simple and only takes 15 to 30 minutes". MongoDB is most compared with InfluxDB, Couchbase, ScyllaDB, Cassandra and Oracle Berkeley DB, whereas Oracle NoSQL is most compared with Cassandra, ScyllaDB, InfluxDB and Aerospike Database 7.
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