Probably the best data platform with various features.

It requires significant hardware ressources and memory.

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.

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;

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.

Good support and flexible licensing structure, helpful sales team.

High volume data processing and big data storage management

Lacking BI and data analytics features needed for most big data projects

from my very good experience with Cloudera I would recommend

cloudera is a very good application for enterprise data management, statistics tracking and data security

since I've been using it I haven't had any complications yet

Overall, it provides Big data analysis capabilities, Streaming services, BI services, ML services, Data Warehousing services for all kinds of business requirements to meet and solutions to build.

Performs really well and maintains the whole Hadoop ecosystem being stable most of the times. Data Engineers, ML engineers, Data Scientists can use this platform to meet their business needs It can process large amount of data within a short span of time easily. Have used Cloudera VM Virtual box too to setup the Hadoop ecosystem and also the real-time file processing with good integration and AI capabilities within.

It takes a lot of time when launching the Virtual Machine even after allocating ample resources to it, that makes it launch again and again causing delay and waste of time. Documentation understanding is on the higher side as it cannot be understood for newbies in the first go. Lastly, very limited customization options provided.

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)

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

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

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.

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.

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

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

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