Try our new research platform with insights from 80,000+ expert users

HPE Ezmeral Data Fabric vs MongoDB comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

HPE Ezmeral Data Fabric
Average Rating
8.0
Reviews Sentiment
6.1
Number of Reviews
12
Ranking in other categories
Hadoop (5th)
MongoDB
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
76
Ranking in other categories
Open Source Databases (5th), NoSQL Databases (1st), Managed NoSQL Databases (7th)
 

Mindshare comparison

HPE Ezmeral Data Fabric and MongoDB aren’t in the same category and serve different purposes. HPE Ezmeral Data Fabric is designed for Hadoop and holds a mindshare of 13.6%, up 10.0% compared to last year.
MongoDB, on the other hand, focuses on NoSQL Databases, holds 23.6% mindshare, down 27.7% since last year.
Hadoop
NoSQL Databases
 

Featured Reviews

Arnab Chatterjee - PeerSpot reviewer
It's flexible and easily accessible across multiple locations, but the upgrade process is complicated
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. They're transforming their host stack to increase cloud readiness and edge compute capability. HPE is transitioning from a standard data-driven approach to one powered by AI analytics. That's something they have released very recently. I haven't tried that, but it will probably make things easier. The ability to adapt Ezmeral to the public cloud is probably missing. I've heard that they're getting leaner. However, it doesn't have a clear managed services offering for you if you want to deploy this stack on the cloud. That's a problem. This probably won't meet your needs if you require consistency across on-prem and the cloud. It's not Ezmeral's fault. None of the products would fit the bill. Cloud offerings are biased towards their own implementation. It's a general issue on most big data platforms. They're already working towards that, but it hasn't been released.
Hamidul Islam - PeerSpot reviewer
Lightweight with good flexibility and very fast performance for searching data
I used the solution in the production level to search data and create education-based tutorials for a project. We had 30 managers, senior architects, tech leads, and software engineers working on the project.  Currently, I use the solution for my personal work.  The solution has good flexibility…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"I like the administration part."
"The model creation was very interesting, especially with the libraries provided by the platform."
"HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."
"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 installation is very stable."
"The most valuable feature of MongoDB is the ease of connections, aggregation, and queries."
"MongoDB is easy to use."
"It is convenient to use because we can do manipulations with the JSON data that we get. There are also a lot of joins and associations with MongoDB, which makes it easy to use for us."
"like its performance and the stability. It's very stable and, performance-wise, it's really great."
"MongoDB is scalable and stable. The initial setup is very easy, and deployment and maintenance can be done by one person."
"We decided to work with MongoDB as its interface is easier to understand and more universal."
"It's super easy to develop a couple of solutions for clients with MongoDB, like a quick web page with no clear data structure that they need to spin up quickly to validate some sort of MDTP."
 

Cons

"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."
"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."
"The performance could be faster."
"The dashboard is an area of concern in the solution where improvements are required."
"It is important to note that MongoDB has limitations since it can only be used for specific use cases. For example, for master data, I would want to pick keys using an RDBMS, but for attachments, I would choose MongoDB."
"They could provide more documentation and examples for adding pipeline stages."
"The analytics needs improvement."
"People coming from RDBMS should have the flexibility to write queries in SQL that can be converted into JSON queries."
"There was a need for integrating relational database capabilities, however, MongoDB has introduced a relational converter that allows conversion between SQL and NoSQL."
"I feel that most people don't know a lot about MongoDB, so maybe they could add some more documentation and tutorials."
 

Pricing and Cost Advice

"There is a need for my company to pay for the licensing costs of the solution."
"HPE is flexible with you if you are an existing customer. They offer different models that might be beneficial for your organization. It all depends on how you negotiate."
"The tool's price is cheap and based on a usage basis. The solution's licensing costs are yearly and there are no extra costs."
"It's a community edition, so we do not pay anything."
"MongoDB is not expensive."
"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."
"There is an enterprise license and it could be cheaper. We are using the free open source version."
"I believe that MongoDB is free."
"It's open-source."
"It is rather expensive."
"MongoDB is a bit expensive compared to its competitors."
report
Use our free recommendation engine to learn which Hadoop solutions are best for your needs.
816,660 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
15%
Retailer
7%
Government
7%
Financial Services Firm
17%
Computer Software Company
14%
Manufacturing Company
7%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about HPE Ezmeral Data Fabric?
It is a stable solution...It is a scalable solution.
What needs improvement with HPE Ezmeral Data Fabric?
There are some drawbacks in HPE Ezmeral Data Fabric when it comes to the interoperability part. HPE Ezmeral Data Fabric is not compatible with third-party tools. For example, HPE Ezmeral Data Fabri...
What is your primary use case for HPE Ezmeral Data Fabric?
The main purpose of HPE Ezmeral Data Fabric for me is that it acts as a database. In my company, we store our data with the help of HPE Ezmeral Data Fabric. It is possible to use Spark engine with ...
What do you like most about MongoDB?
MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.
What is your experience regarding pricing and costs for MongoDB?
MongoDB is free of charge. that said, there is also a paid version. We use both free and paid versions.
What needs improvement with MongoDB?
The free tools, like MongoDB Compass, could be enhanced. This is especially relevant for the IDEs or similar tools.
 

Also Known As

MapR, MapR Data Platform
No data available
 

Learn More

 

Overview

 

Sample Customers

Valence Health, Goodgame Studios, Pico, Terbium Labs, sovrn, Harte Hanks, Quantium, Razorsight, Novartis, Experian, Dentsu ix, Pontis Transitions, DataSong, Return Path, RAPP, HP
Facebook, MetLife, City of Chicago, Expedia, eBay, Google
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: November 2024.
816,660 professionals have used our research since 2012.