Cloudera Data Platform (CDP)

Was the coolest thing In 2014 when Big Data was the trend

Lacks strategy and vision, chases trends and defers core customers

Hadoop platform

EASY to use and friendly. Most of the time it works without any issues.

Have to improve on providing documentation for various errors

I have used Cloudera while in a company to solve mobile network related issues using big data analytics

It is wonderful technology to use while working on the confidential data

Hope to see more UI improvements in future

Building big data solutions and working on large scale data

It serve my business, help me in reaching more customers and help my customers to find my software .

Technical support , mobile app , company location .

marketing, provide good references , ease to use, ai

Fullly implement hadoop ecosystem and control version compability as well. It also has quickly supported on technical and setting up issues. The community is really large and good.

The documentation layout is quite unclear. The community version setting up guides are not working. I think cloudera should provide the simple version in docker or helm chart for trial easier.

Cloudera platform provides the powerful processing tools that help our company save very much time to setup hadoop ecosystem. It also allows us to monitor and control the big data infrastucture easier and more efficient.

Cloudera is highly regarded for its robust and scalable big data solutions, emphasis on security, user-friendly interfaces, and strong support network.

While Cloudera is a prominent player in the big data market, there are other viable alternatives available. Organizations should consider exploring different platforms to determine which one best aligns with their specific requirements, budget, and existing technology ecosystem.

Extracting insights and value from big data is a complex task. Cloudera provides a range of analytics capabilities, including machine learning, data visualization, and predictive modeling. These tools enable organizations to derive actionable insights, make data-driven decisions, and uncover hidden patterns and trends within their data.

Enterprise-grade features: Cloudera Distribution for Hadoop includes a number of features that make it easier to use Hadoop for enterprise applications, such as security, scalability, and manageability. Commercial support: Cloudera offers commercial support for Cloudera Distribution for Hadoop, which can be helpful for businesses that need help with installation, configuration, and troubleshooting. Community: Cloudera has a large and active community of users and developers, which can be helpful for businesses that need help with using or extending Cloudera Distribution for Hadoop.

Cost: Cloudera Distribution for Hadoop is a commercial product, so it can be more expensive than using an open source distribution of Hadoop. Lock-in: Cloudera Distribution for Hadoop is a proprietary product, so businesses that use it may be locked into using Cloudera for support and maintenance. Complexity: Cloudera Distribution for Hadoop is a complex product, so businesses that use it may need to have a team of experienced engineers to manage it.

Cloudera Distribution for Hadoop is a good choice for businesses that need an enterprise-grade Hadoop distribution with commercial support and a large community of users and developers.

Advantages of Cloudera: Ease of use, Security, Number of components, Scalability and Active community of users. The main advantages of using Cloudera are scalability and centralized administration, which greatly facilitates the work of monitoring and necessary corrections.

The difficulty of having a free option after the acquisition of Hadoop this process became more complex and bureaucratic. As the main thing, I still consider the cost, although I believe it is fair, but it ends up being unfeasible for smaller projects.

The data processing of a large government organization, with millions of records per day. The data is sent via WSO2 to Kafka, and then with NIFI, the processing is done to save the raw and summarized data in HIVE and force an index in solr to be consumed later by the WSO2 API Manager.

Performance, AI capabilites and good integration

Support and poor documentation, limited customisation

Cloudera CDP for cloud cost optimiztion data warehouse

Big data processing, Ease of use with Hue

Hue could have been improved better. Freeware quickstart vm is now not available for learners.

If you are learning and experimenting with Big Data Analytics, Cloudera would be the best solution to select the platform.

Big Data Hadoop cluster