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HPE Data Fabric vs MongoDB Enterprise Advanced comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

HPE Data Fabric
Average Rating
8.0
Reviews Sentiment
6.1
Number of Reviews
12
Ranking in other categories
Hadoop (4th)
MongoDB Enterprise Advanced
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
82
Ranking in other categories
Open Source Databases (6th), NoSQL Databases (1st), Managed NoSQL Databases (4th)
 

Mindshare comparison

HPE Data Fabric and MongoDB Enterprise Advanced aren’t in the same category and serve different purposes. HPE Data Fabric is designed for Hadoop and holds a mindshare of 14.9%, up 14.2% compared to last year.
MongoDB Enterprise Advanced, on the other hand, focuses on NoSQL Databases, holds 15.0% mindshare, down 21.1% since last year.
Hadoop Market Share Distribution
ProductMarket Share (%)
HPE Data Fabric14.9%
Cloudera Distribution for Hadoop15.1%
Apache Spark13.9%
Other56.1%
Hadoop
NoSQL Databases Market Share Distribution
ProductMarket Share (%)
MongoDB Enterprise Advanced15.0%
Redis8.7%
ScyllaDB8.3%
Other68.0%
NoSQL Databases
 

Featured Reviews

Arnab Chatterjee - PeerSpot reviewer
Regional Head of Data and Application Platform at a financial services firm with 10,001+ employees
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.
FG
Architecte Cloud at Visiativ SA
Offers reliable engine for legacy needs but requires enhanced cost management and AI features
While MongoDB is a good product, it is also an expensive product for support, and its scalability is acceptable, but the big problem with MongoDB is the cost. For security in MongoDB, we work with encrypted databases by default, but we have not contracted the security options in our contract because it is too expensive, so we only implement encrypted databases without the security pack, which is very expensive for us; in security, we are at the first steps, just using encrypted databases. I think additional features needed in MongoDB include perhaps vector databases, as I think they are not supported right now.

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."
"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."
"HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."
"The model creation was very interesting, especially with the libraries provided by the platform."
"The most valuable feature is that you can store unstructured data, which is helpful when you don't know what the best structure should be and you cannot use a relational database because of that."
"It is easy to use."
"It can handle a lot of files quickly."
"We decided to work with MongoDB as its interface is easier to understand and more universal."
"like its performance and the stability. It's very stable and, performance-wise, it's really great."
"MongoDB is relatively fast compared to relational databases."
"MongoDB is a NoSQL tool that gives us much freedom to manipulate how the data works."
"I like that MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."
 

Cons

"The product is not user-friendly."
"HPE Ezmeral Data Fabric is not compatible with third-party tools."
"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 deployment could be faster. I want more support for the data lake in the next release."
"Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful."
"Enhancing the documentation to make it more beginner-friendly is crucial."
"Lacks sufficient scalability and elasticity."
"MongoDB is a very useful and convenient choice, but sometimes for more complex projects, there are certain niche requirements that appear, so using a different tool could be beneficial. It raises the complexity of the architecture, but it could be beneficial to the world, the features, the ease of the features which are being implemented."
"The MongoDB documentation can be a little complicated sometimes."
"It would be much more useful if I have an admin user and a password."
"At the start, connecting to the database via Compass or through a direct ID was a challenge."
"It should have GUI for managing clusters. MongoDB needs a more powerful GUI to manage clusters and make switchovers. Currently, there is no good, free tool to check the replication to find out if there is a gap."
"The performance can be improved."
 

Pricing and Cost Advice

"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."
"There is a need for my company to pay for the licensing costs of the solution."
"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."
"There are different licenses available to be purchased, such as individual, premium, or enterprise."
"There is an annual subscription for the use of this solution."
"The solution is open source so is free."
"The solution is open source, so it is free."
"I only used the open-source version."
"I believe that MongoDB is free."
"MongoDB's pricing is reasonable."
"I'm using the free version of MongoDB."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Comms Service Provider
8%
Performing Arts
7%
Computer Software Company
7%
Financial Services Firm
15%
Computer Software Company
9%
Manufacturing Company
8%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Large Enterprise7
By reviewers
Company SizeCount
Small Business35
Midsize Enterprise13
Large Enterprise38
 

Questions from the Community

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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?
For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little bit of cost pressure but it's acceptable. I will not be able to elaborate on th...
What needs improvement with MongoDB?
The integration between data warehouse could be improved. Nowadays, a lot of data is getting generated, so certain ETL flexible scripts with backend database integrations would be an improvement I ...
 

Also Known As

MapR, MapR Data Platform
No data available
 

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
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