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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    HBase

    Score7.3 out of 10
    N/AThe Apache HBase project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable.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
    HBaseDb2
    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
    HBaseDb2
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    HBaseDb2
    Considered Both Products
    Apache
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    96%
    Would buy again
    103 Answers
    Delivers good value for the price
    No answers on this topic
    97%
    Delivers good value for the price
    95 Answers
    Happy with the feature set
    No answers on this topic
    96%
    Happy with the feature set
    103 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    96%
    Lived up to sales and marketing promises
    66 Answers
    Implementation went as expected
    No answers on this topic
    99%
    Implementation went as expected
    89 Answers
    Best Alternatives
    HBaseDb2
    Small Businesses
    No answers on this topic
    Amazon RDS
    Score8.1 out of 10
    Medium-sized Companies
    Azure Cosmos DB
    Score9.1 out of 10
    SingleStore
    Score8.2 out of 10
    Enterprises
    Cassandra
    Score9 out of 10
    SAP IQ
    Score5.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    HBaseDb2
    Likelihood to Recommend
    7.7
    (10 ratings)
    9.1
    (114 ratings)
    Likelihood to Renew
    7.9
    (10 ratings)
    7.9
    (12 ratings)
    Usability
    -
    (0 ratings)
    8.4
    (9 ratings)
    Availability
    -
    (0 ratings)
    9.3
    (64 ratings)
    Performance
    -
    (0 ratings)
    9.1
    (12 ratings)
    Support Rating
    -
    (0 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
    HBaseDb2
    Likelihood to Recommend
    Apache
    Hbase is well suited for large organizations with millions of operations performing on tables, real-time lookup of records in a table, range queries, random reads and writes and online analytics operations. Hbase cannot be replaced for traditional databases as it cannot support all the features, CPU and memory intensive. Observed increased latency when using with MapReduce job joins.
    Incentivized
    Read full review
    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
    Read full review
    Pros
    Apache
    • Scalability. HBase can scale to trillions of records.
    • Fast. HBase is extremely fast to scan values or retrieve individual records by key.
    • HBase can be accessed by standard SQL via Apache Phoenix.
    • Integrated. I can easily store and retrieve data from HBase using Apache Spark.
    • It is easy to set up DR and backups.
    • Ingest. It is easy to ingest data into HBase via shell, Java, Apache NiFi, Storm, Spark, Flink, Python and other means.
    Incentivized
    Read full review
    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
    Read full review
    Cons
    Apache
    • There are very few commands in HBase.
    • Stored procedures functionality is not available so it should be implemented.
    • HBase is CPU and Memory intensive with large sequential input or output access while as Map Reduce jobs are primarily input or output bound with fixed memory. HBase integrated with Map-reduce jobs will result in random latencies.
    Incentivized
    Read full review
    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
    Read full review
    Likelihood to Renew
    Apache
    There's really not anything else out there that I've seen comparable for my use cases. HBase has never proven me wrong. Some companies align their whole business on HBase and are moving all of their infrastructure from other database engines to HBase. It's also open source and has a very collaborative community.
    Incentivized
    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
    Read full review
    Usability
    Apache
    No answers on this topic
    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
    Read full review
    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
    Read full review
    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
    Read full review
    Support Rating
    Apache
    No answers on this topic
    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
    Read full review
    In-Person Training
    Apache
    No answers on this topic
    IBM
    the material was very clear and all subjects have been handled
    Incentivized
    Read full review
    Implementation Rating
    Apache
    No answers on this topic
    IBM
    db2 work well with the application, also the replication tool can keep it up
    Read full review
    Alternatives Considered
    Apache
    Cassandra os great for writes. But with large datasets, depending, not as great as HBASE. Cassandra does support parquet now. HBase still performance issues. Cassandra has use cases of being used as time series. HBase, it fails miserably. GeoSpatial data, Hbase does work to an extent. HA between the two are almost the same.
    Incentivized
    Read full review
    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
    Read full review
    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
    Read full review
    Return on Investment
    Apache
    • As Hbase is a noSql database, here we don't have transaction support and we cannot do many operations on the data.
    • Not having the feature of primary or a composite primary key is an issue as the architecture to be defined cannot be the same legacy type. Also the transaction concept is not applicable here.
    • The way data is printed on console is not so user-friendly. So we had to use some abstraction over HBase (eg apache phoenix) which means there is one new component to handle.
    Incentivized
    Read full review
    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
    Read full review
    ScreenShots

    Db2 Screenshots

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