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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

    Db2

    Score8.6 out of 10
    N/ADB2 is a family of relational database software solutions offered by IBM. It includes standard Db2 and Db2 Warehouse editions, either deployable on-cloud, or on-premise.

    $0

    Pricing
    Apache HiveDb2
    Editions & Modules
    No answers on this topic
    Db2 on Cloud Lite
    $0
    Db2 on Cloud Standard
    $99
    per month
    Db2 Warehouse on Cloud Flex One
    $898
    per month
    Db2 on Cloud Enterprise
    $946
    per month
    Db2 Warehouse on Cloud Flex for AWS
    2,957
    per month
    Db2 Warehouse on Cloud Flex
    $3,451
    per month
    Db2 Warehouse on Cloud Flex Performance
    13,651
    per month
    Db2 Warehouse on Cloud Flex Performance for AWS
    13,651
    per month
    Db2 Standard Edition
    Contact Sales
    Db2 Advanced Edition
    Contact Sales
    Offerings
    Pricing Offerings
    Apache HiveDb2
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Best Alternatives
    Apache HiveDb2
    Small Businesses
    No answers on this topic
    Amazon RDS
    Score8.1 out of 10
    Medium-sized Companies
    Cloudera Enterprise Data Hub
    Score9 out of 10
    SingleStore
    Score8.2 out of 10
    Enterprises
    Oracle Exadata
    Score9.8 out of 10
    SAP IQ
    Score5.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Apache HiveDb2
    Likelihood to Recommend
    8.0
    (35 ratings)
    9.1
    (114 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    7.9
    (12 ratings)
    Usability
    8.5
    (7 ratings)
    8.4
    (9 ratings)
    Availability
    -
    (0 ratings)
    9.3
    (64 ratings)
    Performance
    -
    (0 ratings)
    9.1
    (12 ratings)
    Support Rating
    7.0
    (6 ratings)
    8.9
    (6 ratings)
    In-Person Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    5.6
    (3 ratings)
    Configurability
    -
    (0 ratings)
    9.1
    (2 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    8.0
    (1 ratings)
    Data Sources
    -
    (0 ratings)
    9.0
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    7.8
    (4 ratings)
    Product Scalability
    -
    (0 ratings)
    8.3
    (66 ratings)
    Vendor post-sale
    -
    (0 ratings)
    9.0
    (2 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    9.0
    (2 ratings)
    User Testimonials
    Apache HiveDb2
    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
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    IBM
    I have primarily used it as the basis for a SIS - but I have migrated more than a few systems from there database systems to DB2 (Filemaker, MySQL, etc.). DB2 does have a better structural approach, as opposed to Filemaker, which allows for more data consistency, but this can also lead to an inflexibility that can sometimes be counterintuitive when attempting to compensate for the flexibility of the work environment as Schools tend to have an all in one approach.
    Incentivized
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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.
    Incentivized
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    IBM
    • While we query a large set of data, the results are generally available within a minute or so.
    • Always reliable - I have never experienced an application going down.
    • It is easy to write queries and find tables and columns.
    • We can log in smoothly without any headaches.
    Incentivized
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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
    Incentivized
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    IBM
    • Learning curve for DB resources - Improvements to UI or native command line built-ins can help with increasing efficiencies for DB resources
    • Better resource utilization monitoring and recommendations
    • Continue to adopt support for modern frameworks and languages making it easier for organizations to see making Db2 the easy first choice
    Incentivized
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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.
    Read full review
    IBM
    The DB2 database is a solid option for our school. We have been on this journey now for 3-4 years so we are still adapting to what it can do. We will renew our use of DB2 because we don’t see. Major need to change. Also, changing a main database in a school environment is a major project, so we’ll avoid that if possible.
    Incentivized
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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.
    Incentivized
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    IBM
    You have to be well versed in using the technology, not only from a GUI interface but from a command line interface to successfully use this software to its fullest.
    Incentivized
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    Reliability and Availability
    Apache
    No answers on this topic
    IBM
    I have never had DB2 go down unexpectedly. It just works solidly every day. When I look at the logs, sometimes DB2 has figured out there was a need to build an index. Instead of waiting for me to do it, the database automatically created the index for me. At my current company, we have had zero issues for the past 8 years. We have upgrade the server 3 times and upgraded the OS each time and the only thing we saw was that DB2 got better and faster. It is simply amazing.
    Incentivized
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    Performance
    Apache
    No answers on this topic
    IBM
    The performances are exceptional if you take care to maintain the database. It is a very powerful tool and at the same time very easy to use. In our installation, we expect a DB machine on the mainframe with access to the database through ODBC connectors directly from branch servers, with fabulous end users experience.
    Incentivized
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    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
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    IBM
    Easily the best product support team. :) Whenever we have questions, they have answered those in a timely manner and we like how they go above and beyond to help.
    Incentivized
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    In-Person Training
    Apache
    No answers on this topic
    IBM
    the material was very clear and all subjects have been handled
    Incentivized
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    Implementation Rating
    Apache
    No answers on this topic
    IBM
    db2 work well with the application, also the replication tool can keep it up
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    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
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    IBM
    DB2 was more scalable and easily configurable than other products we evaluated and short listed in terms of functionality and pricing. IBM also had a good demo on premise and provided us a sandbox experience to test out and play with the product and DB2 at that time came out better than other similar products.
    Incentivized
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    Scalability
    Apache
    No answers on this topic
    IBM
    By
    using DB2 only to support my IzPCA activities, my knowledge here
    is somewhat limited.

    Anyway,
    from what I was able to understand, DB2 is extremely scallable.

    Maybe the information below could serve as an example of scalability.
    Customer have an huge mainframe environment, 13x z15 CECs, around
    80 LPARs, and maybe more than 50 Sysplexes (I am not totally sure about this
    last figure...)

    Today
    we have 7 IzPCA
    databases, each one in a distinct Syplex.

    Plans
    are underway to have, at the end, an small LPAR, with only one DB2 sub-system,
    and with only one database, then transmit the data from a lot of other LPARs,
    and then process all the data in this only one database.



    The
    IzPCA collect process (read the data received, manipulate it, and insert rows
    in the tables) today is a huge process, demanding many elapsed
    hours, and lots of CPU.

    Almost
    100% of the tables are PBR type, insert jobs run in parallel, but in 4 of the 7
    database, it is a really a huge and long process.



    Combining
    the INSERTs loads from the 7 databases in only one will be impossible.......,,,,



    But,
    IzPCA recently introduced a new feature, called "Continuous
    Collector"
    .
    By
    using that feature, small amounts of data will be transmited to the central
    LPAR at every 5 minutes (or even less), processed immediately,in
    a short period of time, and with small use of CPU,
    instead of one or two transmissions by day, of very large amounts of data and
    the corresponding collect jobs occurring only once or twice a day, with long
    elapsed times, and huge comsumption of CPU



    I
    suspect the total CPU seconds consumed will be more or less the same in
    both cases, but in the new method it will occur in small bursts
    many times a day!!
    Incentivized
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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.
    Incentivized
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    IBM
    • Negative: Difficult and manual deployment
    • Negative: Missing assistants from common monitoring metrics
    • Positive: Stability
    • Positive: Performance
    • Positive: Resiliency and high availability (HADR)
    • Positive: Data Replication (Q-Rep)
    • Positive: Interaction with storage subsystems for backups (TSM, SVC)
    • Positive: Gigantic monitoring features in the form of table functions
    Incentivized
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    ScreenShots

    Db2 Screenshots

    Screenshot of Db2 - Data sharingScreenshot of Db2 - Machine LearningScreenshot of Db2 - Real time insights