HPE Ezmeral Data Fabric vs MongoDB comparison

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Hewlett Packard Enterprise Logo
1,653 views|1,034 comparisons
100% willing to recommend
MongoDB Logo
9,269 views|6,523 comparisons
91% willing to recommend
Comparison Buyer's Guide
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: April 2024).
768,415 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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.""I like the administration part.""It is a stable solution...It is a scalable solution.""The model creation was very interesting, especially with the libraries provided by the platform."

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"MongoDB is cool. There is a difference between relational databases and newer databases like MongoDB. MongoDB is scalable and fast.""MongoDB has a simple data-loading interface.""MongoDB is extremely developer-friendly because when you are starting, there is very little time needed upfront in terms of planning.""The most valuable feature is the speed of MongoDB.""The installation is very easy to do and understand.""The solution is user-friendly with a good object retrieval feature.""The initial setup isn't really that complex.""The clustering is very good. It allows us to have high availability."

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Cons
"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 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.""HPE Ezmeral Data Fabric is not compatible with third-party tools.""The deployment could be faster. I want more support for the data lake in the next release."

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"MongoDB could be more secure.""From my point of view, they need a totally free IDE to work at high levels.""MongoDB should be more stable, and support should be more efficient.""The solution can be a bit tough to set up if you don't have knowledge about how the database works.""Data encryption is possible using third-party tools but they should have their own encryption capability built-in to this solution.""The product's data consistency could be more efficient than traditional SQLs.""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.""The auto transaction feature is something that I found a little bit problematic. If we want to run two or three transactions at a time, we get write conflicts. So, it becomes really difficult when concurrency comes into the picture."

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."
  • More HPE Ezmeral Data Fabric Pricing and Cost Advice →

  • "We are using the Community Edition of MongoDB."
  • "It is rather expensive."
  • "MongoDB is an open-source solution."
  • "This is an open-source solution."
  • "We use the open-source version, which is available to use free of charge."
  • "I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."
  • "MongoDB is not expensive."
  • "At the moment, all customers are using the community version."
  • More MongoDB Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:It is a stable solution...It is a scalable solution.
    Top Answer: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 Fabric… more »
    Top Answer: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 HPE… more »
    Top Answer:We decided to work with MongoDB as its interface is easier to understand and more universal.
    Top Answer:MongoDB is an open-source product. We don't have to pay for the licenses.
    Top Answer:They could provide more documentation and examples for adding pipeline stages. There could be a feature where commands made in MongoDB could be easily copied and shared in their original format. This… more »
    Ranking
    5th
    out of 22 in Hadoop
    Views
    1,653
    Comparisons
    1,034
    Reviews
    4
    Average Words per Review
    550
    Rating
    7.8
    1st
    out of 18 in NoSQL Databases
    Views
    9,269
    Comparisons
    6,523
    Reviews
    27
    Average Words per Review
    355
    Rating
    8.0
    Comparisons
    Also Known As
    MapR, MapR Data Platform
    Learn More
    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
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company17%
    Manufacturing Company8%
    Comms Service Provider7%
    REVIEWERS
    Computer Software Company28%
    Financial Services Firm16%
    Legal Firm6%
    Government6%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company14%
    Comms Service Provider7%
    University7%
    Company Size
    REVIEWERS
    Small Business36%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise11%
    Large Enterprise65%
    REVIEWERS
    Small Business41%
    Midsize Enterprise14%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise14%
    Large Enterprise62%
    Buyer's Guide
    Hadoop
    April 2024
    Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
    768,415 professionals have used our research since 2012.

    HPE Ezmeral Data Fabric is ranked 5th in Hadoop with 12 reviews while MongoDB is ranked 1st in NoSQL Databases with 68 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.

    We monitor all Hadoop reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.