We performed a comparison between Cloudera Distribution for Hadoop 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."CDH has a wide variety of proprietary tools that we use, like Impala. So from that perspective, it's quite useful as opposed to something open-source. We get a lot of value from Cloudera's proprietary tools."
"The product is completely secure."
"The most valuable feature is Impala, the querying engine, which is very fast."
"In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues."
"It has the best proxy, security, and support features compared to open-source products."
"Customer service and support were able to fix whatever the issue was."
"The solution's most valuable feature is the enterprise data platform."
"The data science aspect of the solution is valuable."
"I found that MongoDB is most valuable for storing school-related queries. It's also user-friendly, and I found no difficulty accessing it. Setting it up is easy too."
"We've found the product to be scalable."
"I find the integration with other tools very easy."
"I like the schemaless architecture that it follows. I also like the sharding that it provides."
"One of the biggest benefits is the speed and flexibility of the documents, especially when it comes to modifications."
"One of the most valuable features is the ability to Text Search can be used anywhere and anytime."
"I like the document storage feature. It's pretty simple."
"MongoDB is easy to use."
"The Cloudera training has deteriorated significantly."
"The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better."
"It could be faster and more user-friendly."
"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 initial setup of Cloudera is difficult."
"The procedure for operations could be simplified."
"They should focus on upgrading their technical capabilities in the market."
"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."
"It could be more stable. It would be better if it were more user-friendly like Oracle, which is very easy. For example, creating an index is simple in Oracle. In MongoDB, it's quite challenging to do that. Performance could be better. It's fast and good, but you cannot put every application that you would like to in MongoDB."
"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."
"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."
"The solution should have better integration."
"MongoDB should not be used for reporting, analytics, or number-crunching tasks."
"Simplifying the aggregation framework would be an improvement."
"MongoDB can improve large-size video or media frame operations. There are a lot of customers who want to upload media frames and video games but there is some difficulty. In MongoDB, we are looking out for solutions that are for large-size media files that can be saved and navigated efficiently."
"Our program developer finds it to be a little unstable, development-wise."
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Cloudera Distribution for Hadoop is ranked 5th in NoSQL Databases with 47 reviews while MongoDB is ranked 1st in NoSQL Databases with 70 reviews. Cloudera Distribution for Hadoop is rated 8.0, while MongoDB is rated 8.2. The top reviewer of Cloudera Distribution for Hadoop writes "Good end-to-end security features and we like that it's cloud independent". On the other hand, the top reviewer of MongoDB writes "Lightweight with good flexibility and very fast performance for searching data". Cloudera Distribution for Hadoop is most compared with Amazon EMR, HPE Ezmeral Data Fabric, Apache Spark, Cassandra and Vertica, whereas MongoDB is most compared with InfluxDB, Couchbase, ScyllaDB, Cassandra and Milvus. See our Cloudera Distribution for Hadoop vs. MongoDB report.
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