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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Apache Hive

    Score8 out of 10
    N/AApache 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 Data Platform

    Score7.4 out of 10
    N/ACloudera Data Platform (CDP), launched September 2019, is designed to combine the best of Hortonworks and Cloudera technologies to deliver an enterprise data cloud. CDP includes the Cloudera Data Warehouse and machine learning services as well as a Data Hub service for building custom business applications.

    $0.04

    per CCU (hourly rate)

    Pricing
    Apache HiveCloudera Data Platform
    Editions & Modules
    No answers on this topic
    CDP Public Cloud - Data Hub
    $0.04
    per CCU (hourly rate)
    CDP Public Cloud - Data Warehouse
    $0.054
    per CCU (hourly rate)
    CDP Public Cloud - Data Engineering
    $0.07
    per CCU (hourly rate)
    CDP Public Cloud - Operational Database
    $0.08
    per CCU (hourly rate)
    CDP Public Cloud - Flow Management
    $0.15
    per CCU (hourly rate)
    CDP Public Cloud - Machine Learning
    $0.17
    per CCU (hourly rate)
    CDP Private Cloud - Plus Edition
    $400
    CCU (annual subscription)
    CDP Private Cloud - Base Edition
    $10,000.00
    node + variable (annual subscription)
    Offerings
    Pricing Offerings
    Apache HiveCloudera Data Platform
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Apache HiveCloudera Data Platform
    Considered Both Products
    Apache
    No answer on this topic
    Cloudera
    No answer on this topic
    Key User Insights
    Would buy again
    95%
    Would buy again
    18 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    18 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    19 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    90%
    Lived up to sales and marketing promises
    9 Answers
    No answers on this topic
    Implementation went as expected
    89%
    Implementation went as expected
    17 Answers
    No answers on this topic
    Best Alternatives
    Apache HiveCloudera Data Platform
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    Cloudera Enterprise Data Hub
    Score9 out of 10
    Cloudera Enterprise Data Hub
    Score9 out of 10
    Enterprises
    Oracle Exadata
    Score9.8 out of 10
    Oracle Exadata
    Score9.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Apache HiveCloudera Data Platform
    Likelihood to Recommend
    8.0
    (35 ratings)
    7.0
    (1 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    -
    (0 ratings)
    Usability
    8.5
    (7 ratings)
    -
    (0 ratings)
    Support Rating
    7.0
    (6 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Apache HiveCloudera Data Platform
    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.
    Incentivized
    Read full review
    Cloudera
    I have seen that Cloudera Data Platform is well suited for large batch processes. It works really well for our indication analyses that are performed by the actuaries. I feel that rapid streaming operations may be a situation where additional technology would be needed to provide for a robust solution.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Cloudera
    • Scales
    • Highly available
    Incentivized
    Read full review
    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
    Incentivized
    Read full review
    Cloudera
    • Constantly changing costs
    • Log visibility
    Incentivized
    Read full review
    Likelihood to Renew
    Apache
    Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.
    Read full review
    Cloudera
    No answers on this topic
    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.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Cloudera
    We have utilized Cloudera support quite frequently and are very satisfied with the capability and responsiveness of that team. Often, the new features delivered with the platform give us an opportunity to mature the way we're doing things, and the support team have been valuable in developing those new patterns.
    Incentivized
    Read full review
    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
    Incentivized
    Read full review
    Cloudera
    IBM's offering of the Cloud Pak for Data has been a moving target and difficult to compare to Cloudera Data Platform. We have implemented our solution on Amazon Web Services, which appears to be supported by IBM at this point, but the migration would be very expensive for us to endeavor.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Cloudera
    • Reduced operational costs
    • Speed to market
    Incentivized
    Read full review
    ScreenShots