We performed a comparison between MarkLogic and MongoDB based on real PeerSpot user reviews.
Find out in this report how the two NoSQL Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The rules can show us if there are missing items, like titles, and we can add them in to ensure everything is filled and makes sense and there are no missing details."
"MarkLogic's greatest asset is its strong engineering foundation. It was specifically designed with search capabilities in mind, and the developers placed a great emphasis on ensuring the quality of the indexing and all subsequent layers that were added."
"I like that MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."
"The most valuable feature is that you can store unstructured data, which is helpful when you don't know what the best structure should be and you cannot use a relational database because of that."
"It facilitates the generation of heatmaps for graphical data analysis."
"Scalability seems good. I've never been even close to finding the limits. I've run a couple of notes of redundancy but I've never had any problems with scalability."
"We can define security rules at the database level or the cluster level to grant or deny access to particular users."
"The most valuable feature is the geometric information done with GeoJSON."
"The solution's most important aspect is its seamless database."
"It is easy to use."
"The spreadsheet capabilities could be improved."
"One of the most common requests is to improve the user interface of the database. While it is primarily a database, there are other databases available that offer more user-friendly interfaces. The UI is good for developers but not for regular users. More visuals would be beneficial."
"Enhancing the documentation to make it more beginner-friendly is crucial."
"There can be stability issues."
"I suppose it could be a little more secure."
"MongoDB would be improved with more integration, particularly for cloud environments like Google BigQuery."
"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."
"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."
"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."
MarkLogic is ranked 9th in NoSQL Databases with 2 reviews while MongoDB is ranked 1st in NoSQL Databases with 70 reviews. MarkLogic is rated 9.6, while MongoDB is rated 8.2. The top reviewer of MarkLogic writes "Frequent updates, helpful search capabilities, and high quality support". On the other hand, the top reviewer of MongoDB writes "Lightweight with good flexibility and very fast performance for searching data". MarkLogic is most compared with Cassandra, whereas MongoDB is most compared with InfluxDB, Couchbase, ScyllaDB, Cassandra and Oracle NoSQL. See our MarkLogic vs. MongoDB report.
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