We performed a comparison between HPE Ezmeral Data Fabric and MongoDB based on real PeerSpot user reviews.
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop."HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."
"I like the administration part."
"The model creation was very interesting, especially with the libraries provided by the platform."
"It is a stable solution...It is a scalable solution."
"My customers find the product cheaper compared to other solutions. The previous solution that we used did not have unified analytics like the runtime or the analog."
"The most valuable feature is the geometric information done with GeoJSON."
"The clustering is very good. It allows us to have high availability."
"MongoDB is cool. There is a difference between relational databases and newer databases like MongoDB. MongoDB is scalable and fast."
"It's easy to add and remove things in MongoDB. You can alter the tables. MongoDB is faster at reading, slower at writings."
"MongoDB is relatively fast compared to relational databases."
"MongoDB is scalable and stable. The initial setup is very easy, and deployment and maintenance can be done by one person."
"I like the document storage feature. It's pretty simple."
"MongoDB is flexible and it allows other applications to be added."
"Upgrading Ezmeral to a new version is a pain. They're trying to make the solution more container-friendly, so I think they're going in the right direction. The only problem we've had in the past was the upgrades. The process isn't smooth due to how the Red Hat operating system upgrades currently work."
"HPE Ezmeral Data Fabric is not compatible with third-party tools."
"Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful."
"The deployment could be faster. I want more support for the data lake in the next release."
"The product is not user-friendly."
"I think it would be good to have more search options such as an index resource. This will provide more options and resources to do advance searches."
"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 performance could be faster."
"The solution should have better integration."
"The product's data consistency could be more efficient than traditional SQLs."
"It has certain limitations when it comes to handling hierarchical data, enforcing relationships, and performing complex joins, which should be taken into account when designing databases for applications with intricate data requirements."
"There should be better integration with other databases."
"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."
HPE Ezmeral Data Fabric is ranked 5th in Hadoop with 12 reviews while MongoDB is ranked 1st in NoSQL Databases with 69 reviews. HPE Ezmeral Data Fabric is rated 8.0, while MongoDB is rated 8.2. The top reviewer of HPE Ezmeral Data Fabric writes "It's flexible and easily accessible across multiple locations, but the upgrade process is complicated". On the other hand, the top reviewer of MongoDB writes "Lightweight with good flexibility and very fast performance for searching data". HPE Ezmeral Data Fabric is most compared with Cloudera Distribution for Hadoop, Amazon EMR, IBM Spectrum Computing, BlueData and Informatica Big Data Parser, whereas MongoDB is most compared with InfluxDB, Couchbase, ScyllaDB, Oracle NoSQL and Cassandra.
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