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."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."
"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."
"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 has visible benefits, actually, in terms of price of ownership if you compare it to, for example, Oracle."
"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."
"My impression is that the initial setup is straightforward."
"It is very fast - faster than an SQL or MySQL Server."
"I find the integration with other tools very easy."
"We find the query and speed very valuable."
"The installation is very stable."
"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."
"Data encryption is possible using third-party tools but they should have their own encryption capability built-in to this solution."
"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."
"Simplifying the aggregation framework would be an improvement."
"The performance of the solution could be improved."
"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."
"It would be good to have scalability for clusters. For example, if we have three clusters, we should be able to increase to five clusters if required. I am not sure if such a feature is currently there. I hope there is good documentation for this."
"The solution could have more integration."
"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."
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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