HPE Ezmeral Data Fabric vs MongoDB comparison

HPE Ezmeral Data Fabric

Read 12 HPE Ezmeral Data Fabric reviews

1,616 Views
989 Comparison Views

100% willing to recommend

MongoDB

Read 70 MongoDB reviews

8,705 Views
6,091 Comparison Views

91% 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.

To learn more, read our detailed Hadoop Report (Updated: May 2024).

Buyer's Guide

Hadoop

May 2024

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Categories and Ranking

HPE Ezmeral Data Fabric

Average Rating

8.0

Number of Reviews

Ranking in other categories

Hadoop (5th)

MongoDB

Average Rating

8.2

Number of Reviews

Ranking in other categories

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

Market share comparison

As of June 2024, in the Hadoop category, the market share of HPE Ezmeral Data Fabric is 15.6% and it increased by 33.4% compared to the previous year. The market share of MongoDB is 0.6% and it decreased by 51.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Hadoop

Unique Categories:

No other categories found

Open Source Databases

0.3%

NoSQL Databases

27.2%

Featured Reviews

Arnab Chatterjee

Regional Head of Data and Application Platform at a financial services firm with 10,001+ employees

Jan 18, 2023

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.

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Sreerag K

Manager System engineer (Infrastructure) at DXC Technology

Jul 17, 2022

Stable and reliable solution that upgrades the IT environment

Migrating to MongoDB upgrades the IT environment and puts users in the NoSQL environment, which is faster There are some problems with bugs appearing in sharding when the data is too high. MongoDB also needs to update and be more flexible to match up to more mature products like Oracle or SQL.…

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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

"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."

"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."

"I like the administration part."

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

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

"It is very fast - faster than an SQL or MySQL Server."

"One of the first things I noticed when I had my first experience with MongoDB was how easy it was to use. I was expecting more difficulties or at least some challenges, but it was very, very easy to use. It's great technology, performs well, and is very convenient."

"We haven't had any issues with stability."

"The Dynamic Application is a valuable feature."

"Sharding is an excellent feature of MongoDB."

"It stores historical data with ease. For example, if you are a healthcare member, then you will have multiple records of visits to the doctors. To store such data in Oracle Database, you have to create many records. You might also have duplication problems because your records are going in again and again, because of which the data warehouse and the maintenance cost will be huge. MongoDB is comparatively lightweight. It is a JSON extract. Once you define a schema and extract it, you can push all the relationships in any way you want. It is easier to define and get different types of transactions into MongoDB. It is also easier to set it up as compared to other solutions. MongoDB is a NoSQL database, which means it is a document DB in which you can store documents that you created in BSON. It is pretty fast in response. It is faster than relational databases because it does not define any primary keys, secondary keys, tertiary keys, and all those kinds of things."

"It facilitates the generation of heatmaps for graphical data analysis."

More MongoDB pros

Cons

"Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful."

"HPE Ezmeral Data Fabric is not compatible with third-party tools."

"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 deployment could be faster. I want more support for the data lake in the next release."

"More stable indexes would be helpful in a future release. That's been an issue for some time. I don't know if it's been fixed now but we transitioned to it because we needed a search index to be able to search for things and if that goes or starts disappearing, we have to move away from that solution. I don't know if they fixed it, last time I had this issue was three years ago so they might have solved it."

"Our program developer finds it to be a little unstable, development-wise."

"There should be better integration with other databases."

"MongoDB could be more secure."

"Lacks sufficient scalability and elasticity."

"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."

"MongoDB would be improved with more integration, particularly for cloud environments like Google BigQuery."

"You need integration with other tools to run the query in MongoDB."

More MongoDB cons

Pricing and Cost Advice

"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."

"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."

"I only used the open-source version."

"There is an enterprise license and it could be cheaper. We are using the free open source version."

"MongoDB is an open-source product."

"MongoDB's pricing is reasonable."

"You only have to pay for the paid version, not the open-source version."

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

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

"It's a community edition, so we do not pay anything."

More MongoDB pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

15%

Manufacturing Company

Government

Financial Services Firm

16%

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?

The product is affordable, but I don't have direct comparisons with other products as I haven't been involved in the billing process.

See all answers

What needs improvement with MongoDB?

The analytics needs improvement.

See all answers

Comparisons

Cloudera Distribution for Hadoop vs HPE Ezmeral Data Fabric

Compared 50% of the time

Amazon EMR vs HPE Ezmeral Data Fabric

Compared 9% of the time

IBM Spectrum Computing vs HPE Ezmeral Data Fabric

Compared 6% of the time

Informatica Big Data Parser vs HPE Ezmeral Data Fabric

Compared 6% of the time

BlueData vs HPE Ezmeral Data Fabric

Compared 5% of the time

More HPE Ezmeral Data Fabric Competitors

InfluxDB vs MongoDB

Compared 30% of the time

Couchbase vs MongoDB

Compared 17% of the time

ScyllaDB vs MongoDB

Compared 11% of the time

Cassandra vs MongoDB

Compared 6% of the time

Oracle NoSQL vs MongoDB

Compared 5% of the time

More MongoDB Competitors

Product Reports

Buyer's Guide

HPE Ezmeral Data Fabric

June 2024

Download HPE Ezmeral Data Fabric product report

Buyer's Guide

MongoDB

May 2024

Download MongoDB product report

Also Known As

MapR, MapR Data Platform

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Learn More

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Hewlett Packard Enterprise

MongoDB

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.

Headquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, our developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today's wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit www.mongodb.com.

MongoDB Features

MongoDB has many valuable key features. Some of the most useful ones include:

Load balancing: MongoDB supports large-scale load balancing via horizontal scaling features like replication and sharding.

Ad-hoc queries: With this feature, developers are able to update ad-hoc queries in real time.

Sharding: With MongoDB, sharding allows for much greater horizontal scalability, with queries that are directed to the correct shard based on specific shard keys.

Indexing: MongoDB allows indexing to be created on demand, accommodating real-time, ever-changing query patterns and application requirements. They can also be declared on any field within any document, including those nested within arrays.

Replication: MongoDB’s replication feature enables you to deploy multiple servers for disaster recovery and backup, which helps increase data availability and stability.

MongoDB Benefits

There are many benefits to implementing MongoDB. Some of the biggest advantages the solution offers include:

Horizontal architecture: Because MongoDB is designed with horizontal architecture, it is easy to scale.

Developer-friendly: Being that MongoDB is a document data model with NoSQL, developers are able to work faster. In addition, MongoDB gives developers a number of useful out-of-the-box capabilities, whether you need to run privately on site or in the public cloud.

Cloud-based: Because MongoDB is a full cloud-based application data platform, you gain access to a collection of services that can integrate nicely with your database.

Powerful analytics: MongoDB is designed to make data easy to access, and also allows you to perform complex analytics and querying.

High performance: With MongoDB, information can be embedded inside a single document rather than relying on expensive join operations from traditional relational databases.

Easy to install: MongoDB has an intuitive UI, making it easy to install. You can install the community or enterprise version directly on a server, create your own container, or use a pre-built community one.

Cost-effective: MongoDB gives you the option to choose an instance size that fits your current needs to help you keep your costs at a minimum.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the MongoDB solution.

PeerSpot user Deepak K., Managing Director at SimSol Technologies And Services Pvt Ltd., says, “The solution is a very dynamic product. It becomes extremely easy for us to support user requirements and we also make use of the simplicity of a cloud redeployment.” He goes on to add, “The solution is easy to deploy, and the product can scale quite well. The solution's most important aspect is its seamless database. The solution offers excellent documentation.”

A Senior Associate at a financial services firm mentions, “The most valuable feature of the solution is the ability to easily store documentation regarding structures. We can easily connect to MongoDB and search without transformation, without joining. If we want to use a simple search it's really fast. The initial setup isn't really that complex. The solution is pretty stable overall.”

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: May 2024.

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