Apache Hive vs. Cloudera Enterprise Data Hub

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Hive
Score 8.1 out of 10
N/A
Apache Hive is database/data warehouse software that supports data querying and analysis of large datasets stored in the Hadoop distributed file system (HDFS) and other compatible systems, and is distributed under an open source license.N/A
Cloudera Enterprise Data Hub
Score 9.0 out of 10
N/A
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.N/A
Pricing
Apache HiveCloudera Enterprise Data Hub
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache HiveCloudera Enterprise Data Hub
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache HiveCloudera Enterprise Data Hub
Considered Both Products
Apache Hive

No answer on this topic

Cloudera Enterprise Data Hub
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 …
Top Pros
Top Cons
Best Alternatives
Apache HiveCloudera Enterprise Data Hub
Small Businesses
Google BigQuery
Google BigQuery
Score 8.7 out of 10
Google BigQuery
Google BigQuery
Score 8.7 out of 10
Medium-sized Companies
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Snowflake
Snowflake
Score 8.9 out of 10
Enterprises
Oracle Exadata
Oracle Exadata
Score 8.5 out of 10
Oracle Exadata
Oracle Exadata
Score 8.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HiveCloudera Enterprise Data Hub
Likelihood to Recommend
8.0
(35 ratings)
9.0
(12 ratings)
Likelihood to Renew
10.0
(1 ratings)
8.2
(7 ratings)
Usability
8.5
(7 ratings)
-
(0 ratings)
Support Rating
7.0
(6 ratings)
-
(0 ratings)
User Testimonials
Apache HiveCloudera Enterprise Data Hub
Likelihood to Recommend
Apache
Software work execution is on a large scale, it is good to use for new projects or organizational changes, data lineage mapping has always been dubious but this one has had good results. You can store and synchronize data from different departments, the storage process can be manual but it is best automated.
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Cloudera
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.
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Pros
Apache
  • Apache Hive allows use to write expressive solutions to complex problems thanks to its SQL-like syntax.
  • Relatively easy to set up and start using.
  • Very little ramp-up to start using the actual product, documentation is very thorough, there is an active community, and the code base is constantly being improved.
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Cloudera
  • Excellent management capabilities via Cloudera Manager.
  • Open source and does not restrict our data to be bound by a proprietary format.
  • Offers excellent support for data governance and auditing.
  • Has all the components that would help us build a data hub.
  • Excellent platform support offered by Cloudera.
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Cons
Apache
  • Some queries, particularly complex joins, are still quite slow and can take hours
  • Previous jobs and queries are not stored sometimes
  • Switching to Impala can sometimes be time-consuming (i.e. the system hangs, or is slow to respond).
  • Sometimes, directories and tables don't load properly which causes confusion
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Cloudera
  • 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.
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Likelihood to Renew
Apache
Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.
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Cloudera
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.
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Usability
Apache
Hive is a very good big data analysis and ad-hoc query platform, which supports scaling also. The BI processes can be easily integrated with Hadoop via the Hive. It can deal with a much larger data set that traditional RDBMS can not. It is a "must-have" component of the big data domain.
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Cloudera
No answers on this topic
Support Rating
Apache
Apache Hive is a FOSS project and its open source. We need not definitely comment on anything about the support of open source and its developer community. But, it has got tremendous developer support, awesome documentation. I would justify the fact that much support can be gathered from the community backup.
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Cloudera
No answers on this topic
Alternatives Considered
Apache
Besides Hive, I have used Google BigQuery, which is costly but have very high computation speed. Amazon Redshift is the another product, I used in my recent organisation. Both Redshift and BigQuery are managed solution whereas Hive needs to be managed
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Cloudera
Cloudera is
compatible with Windows operating systems, and Mac allows cloud-based
deployment, it is also very useful to configure data encryption, guarantee
protocols, and security policies. It also provides integrated auditing and
monitoring capabilities, as well as a control comprehensive data repository for
the enterprise, and ensures vendor compatibility through its open-source
architecture.
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Return on Investment
Apache
  • Apache hive is secured and scalable solution that helps in increasing the overall organization productivity.
  • Apache hive can handle and process large amount of data in a sufficient time manner.
  • It simplifies writing SQL queries, hence helping the organization as most companies use SQL for all query jobs.
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Cloudera
  • 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.
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