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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

    ParAccel

    Score8.8 out of 10
    N/AParAccel was a data warehouse appliance (DWA) option, offered by Actian since the April 2013 acquisition of ParAccel as Actian Matrix, that has since been discontinued.N/A
    Pricing
    Apache HiveParAccel
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Apache HiveParAccel
    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 HiveParAccel
    Considered Both Products
    Apache
    No answer on this topic
    Discontinued Products
    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 HiveParAccel
    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 HiveParAccel
    Likelihood to Recommend
    8.0
    (35 ratings)
    8.8
    (3 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    6.0
    (1 ratings)
    Usability
    8.5
    (7 ratings)
    6.0
    (1 ratings)
    Support Rating
    7.0
    (6 ratings)
    8.0
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    6.0
    (1 ratings)
    User Testimonials
    Apache HiveParAccel
    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
    Discontinued Products
    Actian matrix is not good for small data sets. If you have a limited data pool, or do not plan on having multiple users/clients accessing a data source, stick with a more traditional relational database model - Access for the truly small user base, or a DB2 or Oracle back end if your going to have multiple users, and moderate sized data. Actian is for LARGE data sets (Big Data, in the industry parlance). Millions of rows of data from multiple sources with various down stream systems accessing the database. It is for data analytics of large data groups and intense data mining.
    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
    Discontinued Products
    • Super fast. Aggregate query such as SUM(), Count() returns result within seconds from a table with more than billion records.
    • Excellent data compression.
    • Easy maintenance. We managed this database without having a full time DBA.
    • Support ANSI SQL and ODBC/JDBC. It's easy to connect to this database from other systems.
    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
    Discontinued Products
    • Some of the bugs were annoying and QA definitely needs improvement
    • Connectivity to Informatica and ETL providers
    • Workload management could be better like when you compare with Teradata
    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
    Discontinued Products
    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
    Discontinued Products
    I wish to give higher rating for the speed and efficiency in handling the queries, but only 6 because of consistent bugs we encounter
    Incentivized
    Read full review
    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
    Discontinued Products
    • Faster initial response
    • Trained professionals
    • Very helpful in resolving issues
    Incentivized
    Read full review
    Implementation Rating
    Apache
    No answers on this topic
    Discontinued Products
    Leader failover setup is the toughest and lack of proper documentation is making things tough.
    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
    Discontinued Products
    Actian Matrix is our first big data analytics storage platform, and as I was not involved in the POC process to compare it to other products out on the market, unfortunately I cannot say if it is better than other Big Data storage options. I can say that it out performs products such as Oracle or UDB in regards to the volume of data it can easily index and handle.
    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
    Discontinued Products
    • ROI is great, less spending on full time DBA and that money could be use to add additional node.
    • Negative - Not many developers are well aware of this tool, it takes some time to learn.
    Incentivized
    Read full review
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