The Cloudera Enterprise Data Hub powered by SDX is a multifunction analytics solution that supports a range of operational and analytic use cases for enterprises.
1010data lets our analysts use all available data in an intuitive, interactive way. This makes analytics a flexible, exploratory process that encourages …
We only evaluated but never implemented Vertica since apart from poor customer support we noticed that it also missed some data warehouse capabilities that would suit our needs.
Cloudera is a
great choice because it provides fast streaming data for tracking, breaks down
silos by providing unified self-service platforms for data-driven insights,
Cloudera is
compatible with Windows operating systems, and Mac allows cloud-based
deployment, it is also very useful to configure data encryption, guarantee
Cloudera supports Impala and Hortonworks supports LLAP and both of them are good in terms of performance. Hortonworks uses more up to date technology support in terms of supported versions.
It was the first and best Hadoop distribution when we started years ago. But the situation changed now and if given a choice, may end up choosing something else.
It was selected for lab testing and definitely have positive experience.
Verified User
Anonymous
Chose Cloudera Enterprise Data Hub
I have used Amazon Elastic Cloud Compute EC2, Windows Azure. But the difference with these products and Cloudera is Amazon and Azure are more costly. But Cloudera is best because of Data sensitivity and privacy. We have all the shareholder activity data for funds that business …
Sr. Development Engineer - Big Data Platform Architecture
Chose Cloudera Enterprise Data Hub
NA
Verified User
Anonymous
Chose Cloudera Enterprise Data Hub
A deep bench of Hadoop experts, major contributions to the Hadoop open source community and a solid head start getting market recognition, skills and awareness across the teams.
The software is excellent for any application which is too large for Excel. The visual interface surpasses that of most SQL platforms. It is quite useful for data mining in an exploratory way but less useful in statistical and regression analysis.
Likely to renew the use in case the requirements for Cloudera remain valid. The rapid change in customer requirements and solutions that must be validated, integrated or tested changes. As the maturity of the solution increases, the requirements to renew use decrease. From a solution feature perspective by itself would probably grade 10.
Cloudera is a great choice because it provides fast streaming data for tracking, breaks down silos by providing unified self-service platforms for data-driven insights, secures machine learning, AI solutions, and stores self-service data, enabling our analysts to concentrate on more important tasks like displaying critical information.
Cloudera products are the most widely. It is more business friendly as data is more secure. The sensitive data that you operate on is local to you and your project rather than processing this data on Cloud.
Cloudera is definitely faster as wait time is reduced if on Cloud.
A lot range of products are covered. So it is definitely good for businesses and had good returns on investments.