HPE Ezmeral Data Fabric vs MongoDB comparison

The compared Hewlett Packard Enterprise and MongoDB solutions aren't in the same category. Hewlett Packard Enterprise is ranked #4 in H , with an average rating of 8.5, and holds a 15.4% mindshare in the category. MongoDB is ranked #1 in ND , with an average rating of 8.2, and holds a 16.3% mindshare. Additionally, 100% of Hewlett Packard Enterprise users are willing to recommend the solution, compared to 92% of MongoDB users who would recommend it.

HPE Ezmeral Data Fabric

Read 12 HPE Ezmeral Data Fabric reviews

1,060 Views
558 Comparison Views

100% willing to recommend

MongoDB

Read 79 MongoDB reviews

3,491 Views
1,791 Comparison Views

92% willing to recommend

HPE Ezmeral Data Fabric

MongoDB

Comparison Buyer's Guide

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Executive Summary

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.

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Buyer's Guide

Hadoop

June 2025

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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 Ezmeral Data Fabric

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Hadoop (4th)

MongoDB

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Open Source Databases (5th), NoSQL Databases (1st), Managed NoSQL Databases (9th)

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 15.4%, up 11.8% compared to last year.
MongoDB, on the other hand, focuses on NoSQL Databases, holds 16.3% mindshare, down 26.0% since last year.

Hadoop

NoSQL Databases

Featured Reviews

Hamid M. Hamid

Data architect at Banking Sector

A stable and scalable tool that serves as a great database

The initial setup of HPE Ezmeral Data Fabric is easy. I am not sure how long it took to deploy HPE Ezmeral Data Fabric, but I haven't heard about any disadvantages when it comes to the time taken for the deployment. I remember that one of our company's clients who had purchased the product never mentioned the product's setup phase being complex. One of the drawbacks with HPE Ezmeral Data Fabric stems from the fact that the product's upgrade was not straightforward, and it was a complex process since one of the teams in my company who deals with the tool found the upgrade part to be tough. The solution is deployed on an on-premises model. My company has two dedicated staff members to look after the deployment and maintenance phases of HPE Ezmeral Data Fabric.

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Uzair Faruqi

Head Of Analytics at a computer software company with 501-1,000 employees

Transforms data flow with adaptable schema and smooth public cloud deployment

One of our business units uses MongoDB, and we developed an ETL pipeline that extracts data from MongoDB and transfers it into our data warehouse MongoDB is a NoSQL database that is similar to a document database. It offers flexibility in schema adaptation, allowing us to change the schema and…

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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."

"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."

"It is a stable solution...It is a scalable solution."

"HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."

"In our case, it is most important to have redundancy."

"The most valuable features of MongoDB are we have a lot of documentation and SQL-based applications that run on it."

"One of the most valuable features of MongoDB is it is Its open source."

"We can define security rules at the database level or the cluster level to grant or deny access to particular users."

"My impression is that the initial setup is straightforward."

"The solution's most important aspect is its seamless database."

"The Dynamic Application is a valuable feature."

"The clustering is very good. It allows us to have high availability."

More MongoDB pros

Cons

"The product is not user-friendly."

"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."

"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."

"MongoDB should incorporate more features, particularly search functionality, and real-time communication capabilities, to improve the database and provide data listening services. Currently, we rely on the Atlas offering, but it would be fantastic if MongoDB could develop a new solution or updated version that includes these features within its internal database and driver. However, I am uncertain if this would be a viable or profitable move for them, and I am speaking from a mobile-centric viewpoint."

"Its security features can be better. Sometimes, my higher authority says that we are not going to use MongoDB because it doesn't provide that much security for the RDBMS or relational data that we use for transactions. Instead of MongoDB, we will use Oracle Database because for a transactional service, you have to rely on RDBMS ACID properties. I would love to work on MongoDB by using my mobile phone. When I am working remotely or traveling and have some instances deployed on my server, I should be able to check through my mobile whether all the data is being pulled. GitHub has a similar feature, where it lets you read from the laptop, and you can also pull and push with your mobile phone. I would request MongoDB to provide such a feature. Basically, I want a mobile version for both iOS and Android versions."

"It would be much more useful if I have an admin user and a password."

"The on-premises version of the solution is still pretty expensive, especially compared to the cloud version."

"There can be stability issues."

"We'd like technical support to respond faster to queries."

"The solution could include more integrations with other platforms."

"MongoDB should improve its data loading part."

More MongoDB cons

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."

"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 is a need for my company to pay for the licensing costs of the solution."

"I believe that the licensing fees are paid on a yearly basis."

"MongoDB is not expensive."

"The pricing is favorable if you opt to install MongoDB on an Amazon EC2 instance as you won't have to pay for the extra Atlas services and can instead manage the scaling yourself. This allows for a cost-effective solution and using MongoDB on a small scale, I have been able to utilize it for free."

"I currently use the solution's community edition which is free."

"At the moment, all customers are using the community version."

"It's open-source."

"We are using the Community Edition of MongoDB."

"I believe that MongoDB is free."

More MongoDB pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

15%

Comms Service Provider

Healthcare Company

Financial Services Firm

18%

Computer Software Company

14%

University

Manufacturing Company

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.

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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...

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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 ...

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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.

See all answers

What is your experience regarding pricing and costs for MongoDB?

We use the free version of MongoDB, so there are no licensing costs.

See all answers

What needs improvement with MongoDB?

There is room for improvement in integrating MongoDB with agentive AI solutions. While solutions for other databases like SQL or PostgreSQL ( /products/postgresql-reviews ) already exist, MongoDB r...

See all answers

Comparisons

Cloudera Distribution for Hadoop vs HPE Ezmeral Data Fabric

Compared 55% of the time

Cloudera Data Platform vs HPE Ezmeral Data Fabric

Compared 10% of the time

Amazon EMR vs HPE Ezmeral Data Fabric

Compared 8% of the time

Spark SQL vs HPE Ezmeral Data Fabric

Compared 7% of the time

More HPE Ezmeral Data Fabric Competitors

InfluxDB vs MongoDB

Compared 14% of the time

Couchbase vs MongoDB

Compared 11% of the time

Cassandra vs MongoDB

Compared 8% of the time

Milvus vs MongoDB

Compared 8% of the time

Qdrant vs MongoDB

Compared 5% of the time

More MongoDB Competitors

Product Reports

Buyer's Guide

HPE Ezmeral Data Fabric

June 2025

Download HPE Ezmeral Data Fabric product report

Buyer's Guide

MongoDB

May 2025

Download MongoDB product report

Also Known As

MapR, MapR Data Platform

No data available

Overview

Forward-leaning companies win market share because they leverage data more effectively than their competitors. Unlock the potential of your data assets with HPE Ezmeral Data Fabric (formerly MapR Data Platform). Empower your data science, analytics, and business teams by simplifying data management on a globally distributed scale. All with enterprise-grade reliability, security, and performance.

Hewlett Packard Enterprise

MongoDB is a flexible and scalable NoSQL database solution that efficiently handles both structured and unstructured data. It is known for its ease of use, JSON capabilities, and efficient data handling, making it ideal for developer-friendly environments.

MongoDB stands out with features like sharding, geospatial indexing, and its open-source nature. Users find it fast and appreciate its seamless integration into different applications. Despite being powerful, it remains straightforward to set up and use, bolstered by a clustering and aggregation framework that enhances its functionality. While generally appreciated for its cost-effectiveness and broad application compatibility, there is room for improvement in security, enterprise integration, and the creation of more robust training and documentation resources. Enhancing performance and adding support for traditional relational database concepts could also prove beneficial.

What are MongoDB's most important features?

Scalability: Efficiently manages growing data volumes.
Flexibility: Supports structured and unstructured data with ease.
Sharding: Distributes data across multiple servers.
Geospatial Indexing: Enables location-based data handling.
Open-source: Wide community support and customization.

What benefits or ROI should users look for?

Cost-effectiveness: Reduces overall database management expenses.
Ease of Use: Simplifies database setup and maintenance.
Developer-friendly: Accelerates application development with supportive tools.
Scalable Solutions: Adapts to evolving business requirements.

MongoDB finds widespread application across industries like healthcare, logistics, and telecommunications. It efficiently powers IoT platforms, data analytics, and document management systems. Its schema flexibility and JSON storage capabilities make it ideal for real-time processing and multi-server databases, essential for handling large-scale data volumes in modern applications.

MongoDB

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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