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Cloudera Distribution for Hadoop vs HPE Ezmeral Data Fabric comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Cloudera Distribution for H...
Ranking in Hadoop
2nd
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
49
Ranking in other categories
NoSQL Databases (7th)
HPE Ezmeral Data Fabric
Ranking in Hadoop
5th
Average Rating
8.0
Reviews Sentiment
6.1
Number of Reviews
12
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Hadoop category, the mindshare of Cloudera Distribution for Hadoop is 27.1%, up from 22.7% compared to the previous year. The mindshare of HPE Ezmeral Data Fabric is 13.6%, up from 10.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Hadoop
 

Featured Reviews

Shahan Rehman - PeerSpot reviewer
Can host multiple technologies and help businesses with their AI initiatives
The ease or difficulty in setting up the product depends on the environment of the customer where the tool is deployed. If a banking, industrial, or retail sector firm is taken into concentration, depending on how big of a database is maintained, including the applications that are to be hosted, the deployment process can range from a simple to a very complex phase, depending on the architecture. For Cloudera Distribution for Hadoop, one has to go through the usual deployment process, like for any software product. You have to have different environments before going into production, like pre-production environments, test and dev environments. You install and configure all the components in the test environment and then test them on the pre-production environment. Once UAT is done, you move them to the production environment. In general, it's a critical product deployed in a company.
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.

Quotes from Members

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

Pros

"The file system is a valuable feature."
"The scalability of Cloudera Distribution for Hadoop is excellent."
"Cloudera, as a whole, is designed to provide organizations with solutions for big data."
"The most valuable feature is Impala, the querying engine, which is very fast."
"The product as a whole is good."
"It is helpful to gather and process data."
"Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis."
"The features I find most valuable is that the solution is that it is easy to install and to work with. It starts with the installation and from there on the management is very simple and centralized."
"It is a stable solution...It is a scalable solution."
"I like the administration part."
"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."
"The model creation was very interesting, especially with the libraries provided by the platform."
 

Cons

"The tool's ability to be deployed on a cloud model is an area of concern where improvements are required."
"The tool doesn't support reporting, and relational databases are still the major source of reporting data. Apache Iceberg will be launched soon within the Cloudera cluster for analytical purposes. The Cloudera Machine Learning aspect could be tuned and enhanced to enable us to host some predictive analytics machine learning and AI use cases."
"This is a very expensive solution."
"The one thing that we struggled with predominately was support. Because it was relatively new, support was always a big issue and I think it's still a bit of an ongoing concern with the team currently managing it."
"There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon."
"Cloudera's support is extremely bad and cannot be relied on."
"I would like to see an improvement in how the solution helps me to handle the whole cluster."
"The solution does not support multiple languages very well and this means users need to create work-arounds to implement some solutions."
"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."
"Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful."
"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."
 

Pricing and Cost Advice

"The solution is expensive."
"The tool is not expensive."
"The price is very high. The solution is expensive."
"The solution is fairly expensive."
"The product’s price depends from project to project."
"The pricing must be improved."
"I haven't bought a license for this solution. I'm only using the Apache license version."
"The price could be better for the product."
"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."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Computer Software Company
15%
Educational Organization
10%
Manufacturing Company
8%
Financial Services Firm
19%
Computer Software Company
15%
Retailer
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Cloudera Distribution for Hadoop?
The tool can be deployed using different container technologies, which makes it very scalable.
What is your experience regarding pricing and costs for Cloudera Distribution for Hadoop?
The tool is expensive. Overall, it's not a cheap software tool, and that is why only large enterprises who are mature enough and have an architecture that is complex enough opt for Cloudera, as its...
What needs improvement with Cloudera Distribution for Hadoop?
The tool doesn't support reporting, and relational databases are still the major source of reporting data. Apache Iceberg will be launched soon within the Cloudera cluster for analytical purposes. ...
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 ...
 

Also Known As

No data available
MapR, MapR Data Platform
 

Learn More

 

Overview

 

Sample Customers

37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
Valence Health, Goodgame Studios, Pico, Terbium Labs, sovrn, Harte Hanks, Quantium, Razorsight, Novartis, Experian, Dentsu ix, Pontis Transitions, DataSong, Return Path, RAPP, HP
Find out what your peers are saying about Cloudera Distribution for Hadoop vs. HPE Ezmeral Data Fabric and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.