"The clustering is very good. It allows us to have high availability."
"The community is great if you have problem."
"The most valuable feature is the geometric information done with GeoJSON."
"In our case, it is most important to have redundancy."
"It is really a pretty easy product to use. It's very reliable, it's proven."
"It is convenient to use because we can do manipulations with the JSON data that we get. There are also a lot of joins and associations with MongoDB, which makes it easy to use for us."
"Its flexibility, and cost. It is reasonably priced."
"MongoDB is relatively fast compared to relational databases."
"The product meets expectations when it comes to stability."
"I'd like to see an ID generator. It's very technical but I don't think it has one, so we have to go to great lengths to work around that."
"MongoDB should be more stable, and support should be more efficient."
"You need integration with other tools to run the query in MongoDB."
"It should have GUI for managing clusters. MongoDB needs a more powerful GUI to manage clusters and make switchovers. Currently, there is no good, free tool to check the replication to find out if there is a gap."
"I feel that most people don't know a lot about MongoDB, so maybe they could add some more documentation and tutorials."
"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 is a very useful and convenient choice, but sometimes for more complex projects, there are certain niche requirements that appear, so using a different tool could be beneficial. It raises the complexity of the architecture, but it could be beneficial to the world, the features, the ease of the features which are being implemented."
"They could improve the UI and the analytics part."
"Handling big data in a user-friendly way is currently a bit of an issue. The dashboard for this needs some work."
Earn 20 points
The Oracle NoSQL Database (ONDB) provides network-accessible multiterabyte distributed key/value pair storage with predictable latency. Data is stored in a very flexible key-value format, where the key consists of the combination of a major and minor key (represented as a string) and an associated value (represented as a JSON data format or opaque set of bytes). It offers full Create, Read, Update and Delete (CRUD) operations, with adjustable durability and consistency guarantees. It also provides powerful and flexible transactional model that eases the application development.
The Oracle NoSQL Database is designed to be a highly available and extremely scalable system, with predictable levels of throughput and latency, while requiring minimal administrative interaction.
For more information on Oracle NoSQL Database, visit Oracle.com
MongoDB is ranked 1st in NoSQL Databases with 32 reviews while Oracle NoSQL is ranked 6th in NoSQL Databases with 1 review. MongoDB is rated 8.4, while Oracle NoSQL is rated 8.0. The top reviewer of MongoDB writes "A flexible solution that is cost-effective and developer-friendly". On the other hand, the top reviewer of Oracle NoSQL writes "Proper dimensioning is the key to success with this solid performer". MongoDB is most compared with InfluxDB, Scylla, Neo4j, Couchbase and Cassandra, whereas Oracle NoSQL is most compared with Cassandra, Couchbase, InfluxDB, Cloudera Distribution for Hadoop and Neo4j.
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