Cloudera Enterprise Data Hub Reviews and Ratings

Use Cases and Deployment Scope

Ever since I joined my current organization Cloudera Enterprise Data Hub has been a vital solution for data visualization. It offers analytics tools ranging from database, machine learning, data warehouse, and processing in one place.

Likelihood to Recommend

Cloudera Enterprise Data Hub offers the best data set in one solution for real-time data analytics and reporting. I would highly recommend it since it makes management of clusters much easier than other alternatives which are more complex.

Use Cases and Deployment Scope

Cloudera is useful for working with data center architects to optimize

the effect of data and uncover its hidden value.

Cloudera offers solutions to formalize the enterprise standard database,

including data governance, management, and security operations.

Cloudera is versatile in terms of combining data management and analytics

throughout the lifecycle to collect data where it's needed.

Cloudera's adaptability extends to a wide range of scenarios, including

security, compliance, migration, and metadata management.

By detecting anomalies and reducing cyber dangers, Cloudera helps

research customer behavior, churn reduction, and business concerns.

Likelihood to Recommend

Cloudera excels at seamless migrations and upgrades.

Cloudera supports self-healing and data center

replacement of failed cloud instances while maintaining the state.

Cloudera is essential to increase or decrease

capacity through the user interface or API.

Cloudera is great at simplifying big data analytics

by providing the technology and tools needed to gain insights from IoT and

connected devices to help monitor and condition our assets.

Cloudera's cybersecurity platform option offers

stronger anomaly detection, visibility, and prevention, as well as faster

behavioral analysis.

Cloudera is beneficial for enabling and utilizing

the platform's machine learning and ad-hoc queries while securely storing,

retrieving, and analyzing any volume of data at scale.

Use Cases and Deployment Scope

Useful for creating, channeling, and visualizing

data from all sectors of the business.

It facilitates data collection, campaign

management, audience segmentation, predictive analytics, and data cleansing.

Supports high-volume processing, data storage,

and data visualization.

It helps teams automate complicated data

pipelines and build data-driven applications while ensuring governance,

security, and control throughout the data lifecycle.

Likelihood to Recommend

Cloudera is critical for constructing an organizational data center

while maximizing the value of that volume of data.

Cloudera is great for comprehending data and querying for valuable

replies.

Cloudera supports data transfer from a variety of external databases and

third-party platforms.

Use Cases and Deployment Scope

We used Cloudera Enterprise for a data lake in order to generate value from big data. Big data stored in the data lake is used for different data science projects like churn prediction, recommendation engines etc.

Likelihood to Recommend

CDH is not a replacement of RDBMS, we should think it as complementary technologies to DWH systems. CDH can be used for data lake and reduces costs too much.

Use Cases and Deployment Scope

We used Cloudera to implement our big data service platform. Our team manages a central Hadoop platform where various departments were subscribed in a pay as you go model where they used it to solve various BI and analytical problems. On a day to day basis application teams used it for running Mapreduce/Tez/Spark jobs against their data set which is stored in HDFS.

Likelihood to Recommend

I personally started my big data career by learning Cloudera Distribution and obtaining certification years ago. Comparatively, it was the only distribution worth mentioning back then, but competitors may have outgrown them as of now, the rate at which Cloudera advances in terms of quality of the product and services could be at a lower pace than they used to be. Cluster Management Interface used to be of high quality. Cloudera never supported distribution on a Windows platform where competitors do. I am not a big fan of privately owned repos mixed with open source tools. I will try to stay away from those as that may create a dependency later on.

Use Cases and Deployment Scope

I used it in lab testing. It was a great experience and greatly reduced the configuration/management time.

Likelihood to Recommend

I think it is the best tool to manage large environments.

Use Cases and Deployment Scope

The ability to monitor and manage numerous Hadoop clusters from one tool. It is an easy way to learn and use REST API and Python client library. It is also easy to use the graphical interface to manage the health of our clusters. It also makes the install process on numerous nodes easy.

Likelihood to Recommend

It is useful for monitoring and managing numerous clusters.

Use Cases and Deployment Scope

I used the Cloudera Enterprise in my previous company wherein I had to used the Cloudera Impala product. I have also used Cloudera Hadoop, Hive, Sqoop, Pig, Mahout etc. Since my project had requirement for trying different tools available in market, we were doing research on which tool is the best, thats where we landed on Cloudera Enterprise products. It is used only in my department. To address the shareholder data in files from different suppliers which needs to be processed via MapReduce framework.

Likelihood to Recommend

It is well suited when you locally want all the Cloudera products (MapReduce/Hive/Pig/Impala/Sqoop etc) on your machine. The best thing it is free. Though Amazon EC2 and Windows Azure Virtual machines which have these products are installed are more friendly but you have to shell a lot of money on hourly basis.

Use Cases and Deployment Scope

I first worked with Hadoop before there was Cloudera Enterprise. I remember quite well editing files across systems and devising methods to watch for changes, the pain of working out user access privileges, and the search for a sane package management. Cloudera Manager provides tools for all of this and more. The BI engineering team bootstrapped the Hadoop ecosystem, and I have just recently come in to support expansion. Cloudera Enterprise is great, and I appreciate supporting a company like Cloudera which is firmly rooted in the community.

Likelihood to Recommend

A really small, sandbox installation might be better off without Cloudera Enterprise at the start. If you subsequently move to Cloudera Enterprise, the benefits will be very obvious.

Use Cases and Deployment Scope

Quaero’s data management

platform (QDMP) and its AdVantage platform are built upon Cloudera’s Distribution of Hadoop (Cloudera Enterprise). The AdVantage platform is targeted for clients in the media industry to better

understand their audience, enhance engagement, create richer experiences, and

increase overall audience value. Quaero has deployed

the platform across several clients in the media industry (ranging in ingestion

volume from ~3MM to ~1.5 Billion records

per day).

Likelihood to Recommend

Cloudera Enterprise offers the right mix of components to build a robust data platform which supports both reporting and analytics which can deal with all sorts of data.