Cloudera Enterprise Data Hub vs. OvalEdge

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.

Incentivized

OvalEdge's suite operates very efficiently and is easy to get around. This was actually my first experience with this kind of tool and it was up and running very quickly.

Incentivized

• One of the oldest distributors of enterprise standard Hadoop.
• Distribution is based on open source Hadoop even though customizations are done on top of that.
• Faster updates and bug fixes to the products as they have Apache committers.
• Central configuration and control of your Hadoop platform (but still needs improvements).

Incentivized

• Features to control performance based on specific needs
• 24x7 support to get issues resolved
• API support

Incentivized

• Not fully Open Source, couple of components of the distributions are privately owned, meaning with public contributions are not welcome
• Improvements to Cloudera manager can only be recommended. its very hard to get it done once recommended as the full control is with them.
• Should make components more aligned to Open Source rather than making it closed sourced.
• Custom Features of open source software tools supported only by Cloudera are tricky. Cant commit changes to tools like Hue.
• Improvements to Cluster Management tool is required, which are already available to its competitors.

Incentivized

• OvalEdge cannot find PII in unstructured data

Incentivized

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.

Incentivized

We looked at many other data catalogs, but none of the others fit all our use cases.

• 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.

• Data Lineage and Impact Analysis