We performed a comparison between Cloudera Distribution for Hadoop, MarkLogic, 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 most valuable feature is Kubernetes."
"The file system is a valuable feature."
"The features I find most valuable is that the solution is that it is easy to install and to work with. It starts with the installation and from there on the management is very simple and centralized."
"Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis."
"The solution's most valuable feature is the enterprise data platform."
"The most valuable feature is Impala, the querying engine, which is very fast."
"The product is completely secure."
"Customer service and support were able to fix whatever the issue was."
"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."
"I think that MongoDB isn't too structured, and that's good for our technical team because they are able to search through the database better than if they are using SQL Server."
"The solution is user-friendly with a good object retrieval feature."
"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 clustering is very good. It allows us to have high availability."
"It is easy to use."
"The solution has good flexibility and very fast performance for searching data."
"The community is great if you have problem."
"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."
"The one thing that we struggled with predominately was support. Because it was relatively new, support was always a big issue and I think it's still a bit of an ongoing concern with the team currently managing it."
"The governance aspect of the solution should be improved."
"The tool's ability to be deployed on a cloud model is an area of concern where improvements are required."
"There are multiple bugs when we update."
"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."
"I would like to see an improvement in how the solution helps me to handle the whole cluster."
"The pricing needs to improve."
"It would be useful if Cloudera had more tools like SQL Engines that offer the traditional relational database. We have to do a lot of work preparing the data outside Cloudera before getting it into the platform."
"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."
"The spreadsheet capabilities could be improved."
"You need integration with other tools to run the query in MongoDB."
"The MongoDB documentation can be a little complicated sometimes."
"We'd like information about client onboarding experience and success stories. It would help to have something to show to internal stakeholders."
"From my point of view, they need a totally free IDE to work at high levels."
"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 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."
"The product's data consistency could be more efficient than traditional SQLs."
"It isn't easy to recognize entities with MongoDB."
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