About Cloudera Enterprise Data Hub

Cloudera Enterprise Data Hub is a cloud-based business intelligence solution designed to help streamline various data analysis operations using batch and stream data processing, data warehousing, and machine learning technology. The platform enables organizations to migrate data from multiple external databases and third-party systems.

Cloudera Enterprise Data Hub allows users to manage various marketing operations such as automation, audience targeting, churn prevention, customer retention, and more utilizing real-time data. Features include customer experience management, predictive maintenance, data catalogues, risk modelling and analysis, shared metadata, centralized repositories, and more. Additionally, businesses can gain visibility into the performance...


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5 Reviews of Cloudera Enterprise Data Hub

Average User Ratings

Overall

4.20 / 5 stars

Ease-of-use

4.0

Value for money

4.0

Customer support

4.0

Functionality

4.0

Ratings Snapshot

5 stars

(1)

1

4 stars

(4)

4

3 stars

(0)

0

2 stars

(0)

0

1 stars

(0)

0

Likelihood to Recommend

Not likely

Very likely

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Showing 1 - 5 of 5 results

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November 2018

Anonymous

Verified Reviewer

Company Size: 201-500 employees

Time Used: Less than 2 years

Review Source: Capterra


Ease-of-use

5.0

Functionality

4.0

November 2018

All in one

Pros

All Big data environments (Hadoop, HBase, Mahout, PIG) are pre installed here

Cons

The options it provides, it makes sense that the software is heavy weighted.

February 2020

Anonymous

Verified Reviewer

Company Size: 10,000+ employees

Time Used: More than 2 years

Review Source: Capterra


Ease-of-use

4.0

Value for money

4.0

Customer support

5.0

Functionality

4.0

February 2020

Prime Big Data Platform

1. Our bank is using Cloudera as the big data platform; 2. The overal experience is positive; 3. while due to the concern in point 3 of Cons, I don't think it is quite healthy; 4. platform is the biggest foundation of the system, the person design, configure and manage the platform is very important, i don't think the number of mature consultants is enough in the market. which make the foundation not very robust although maybe not that expensive initially.

Pros

1. A complete package for the big data platform; 2. Combining the features of hortonworks after the two company merging; 3. A reasonable price; 4. The big community who are making enhancement frequently;

Cons

1. The Open source nature makes it happen that some low-quality or non-consistent development result; 2. Some inconsistency between the HIVEQL, Spark and impala; 3. quick changes means not very stable; 4. Cloudera expects the clients to be able to setup , implement the big data platform themselves, while not always feasible.

Reasons for Choosing Cloudera Enterprise Data Hub

We didn't choose others due to the concern for security and price. But we are not quite sure if that is a good choice.

September 2020

Aysan from Information Technology

Company Size: 10,000+ employees

Industry: Computer Software

Time Used: More than 2 years

Review Source: Capterra


Ease-of-use

2.0

Customer support

3.0

Functionality

3.0

September 2020

A good big data platform for big enterprises

Overall I think cloudera is a big player in this area and can extend its footprint if it provides more SaaS offering (especially in AWS and Azure)

Pros

Cloudera is a very good system for big data and Hadoop projects on large scale projects. The support team is also very helpful and very interested to see your success

Cons

Portability is still a big issue. When you start with one Big Data platform it is not easy to switch to other platform.

Reasons for Choosing Cloudera Enterprise Data Hub

It was prior to their merge and cloudera provided more evidence they could support the project and operation teams.

April 2018

Aman from IIITB

Time Used: Less than 12 months

Review Source: Capterra


Ease-of-use

4.0

Value for money

4.0

Customer support

3.0

Functionality

4.0

April 2018

best analytical tool for big data

Pros

This tool is very fast and simple. for big data it is very fast and very secure. Most data science solutions can be solved using this tool. large analytics algorithms can be implemented using this tool.

Cons

for beginners this tool may create problem in getting started beacause the use cases are not well defined and can be documented in more detailed manner.

October 2016

Abhay from Actian

Time Used: Free Trial

Review Source: Capterra


Ease-of-use

4.0

Value for money

4.0

Customer support

4.0

Functionality

4.0

October 2016

Good tool to use for de-duping

Got a reference from a former employee as it was big issue. We implemented it in no time and got it running. Both marketing and Sales Opes are using it to dedupe Contacts and accounts