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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    IBM Watson Studio

    Score10 out of 10
    N/AIBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture.N/A
    Pricing
    Db2IBM Watson Studio
    Editions & Modules
    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
    No answers on this topic
    Offerings
    Pricing Offerings
    Db2IBM Watson Studio
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Db2IBM Watson Studio
    Considered Both Products
    IBM
    No answer on this topic
    IBM
    Chose IBM Watson Studio
    With my experience on Jupyter Notebook I think both are good and currently more comfortable with Watson Studio product. With Jupyter it's open source (free) is always good. "Lots of languages (50), data visualization with Seaborn, work with the building blocks in a flexible and …
    Incentivized
    Chose IBM Watson Studio
    The IBM Bluemix and DSX features are more complete.
    Incentivized
    Chose IBM Watson Studio
    DSX has power of open source tools brought together in an integrated and secured environment.
    Incentivized
    Key User Insights
    Would buy again
    96%
    Would buy again
    103 Answers
    100%
    Would buy again
    5 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    95 Answers
    No answers on this topic
    Happy with the feature set
    96%
    Happy with the feature set
    103 Answers
    100%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    96%
    Lived up to sales and marketing promises
    66 Answers
    No answers on this topic
    Implementation went as expected
    99%
    Implementation went as expected
    89 Answers
    No answers on this topic
    Features
    Db2IBM Watson Studio
    Platform Connectivity
    Comparison of Platform Connectivity features of Db2 and IBM Watson Studio on Cloud Pak for Data
    Feature
    Db2
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    8.1
    22 Ratings
    3% below category average
    Connect to Multiple Data Sources00 Ratings8.022 Ratings
    Extend Existing Data Sources00 Ratings8.022 Ratings
    Automatic Data Format Detection00 Ratings10.021 Ratings
    MDM Integration00 Ratings6.414 Ratings
    Data Exploration
    Comparison of Data Exploration features of Db2 and IBM Watson Studio on Cloud Pak for Data
    Feature
    Db2
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    10.0
    22 Ratings
    17% above category average
    Visualization00 Ratings10.022 Ratings
    Interactive Data Analysis00 Ratings10.022 Ratings
    Data Preparation
    Comparison of Data Preparation features of Db2 and IBM Watson Studio on Cloud Pak for Data
    Feature
    Db2
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    15% above category average
    Interactive Data Cleaning and Enrichment00 Ratings10.022 Ratings
    Data Transformations00 Ratings10.021 Ratings
    Data Encryption00 Ratings8.020 Ratings
    Built-in Processors00 Ratings10.021 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Db2 and IBM Watson Studio on Cloud Pak for Data
    Feature
    Db2
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    12% above category average
    Multiple Model Development Languages and Tools00 Ratings10.021 Ratings
    Automated Machine Learning00 Ratings10.022 Ratings
    Single platform for multiple model development00 Ratings10.022 Ratings
    Self-Service Model Delivery00 Ratings8.020 Ratings
    Model Deployment
    Comparison of Model Deployment features of Db2 and IBM Watson Studio on Cloud Pak for Data
    Feature
    Db2
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    8.0
    22 Ratings
    6% below category average
    Flexible Model Publishing Options00 Ratings9.022 Ratings
    Security, Governance, and Cost Controls00 Ratings7.022 Ratings
    Best Alternatives
    Db2IBM Watson Studio
    Small Businesses
    Amazon RDS
    Score8.1 out of 10
    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
    SingleStore
    Score8.2 out of 10
    Anaconda
    Score8.8 out of 10
    Enterprises
    SAP IQ
    Score5.4 out of 10
    Posit
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Db2IBM Watson Studio
    Likelihood to Recommend
    9.1
    (114 ratings)
    8.0
    (65 ratings)
    Likelihood to Renew
    7.9
    (12 ratings)
    8.2
    (1 ratings)
    Usability
    8.5
    (9 ratings)
    9.6
    (2 ratings)
    Availability
    9.3
    (64 ratings)
    8.2
    (1 ratings)
    Performance
    9.1
    (12 ratings)
    8.2
    (1 ratings)
    Support Rating
    8.9
    (6 ratings)
    8.2
    (1 ratings)
    In-Person Training
    8.2
    (1 ratings)
    8.2
    (1 ratings)
    Online Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    Implementation Rating
    5.6
    (3 ratings)
    7.3
    (1 ratings)
    Configurability
    9.1
    (2 ratings)
    -
    (0 ratings)
    Data Sharing and Collaboration
    8.0
    (1 ratings)
    -
    (0 ratings)
    Data Sources
    9.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    7.8
    (4 ratings)
    -
    (0 ratings)
    Product Scalability
    8.3
    (66 ratings)
    8.2
    (1 ratings)
    Vendor post-sale
    9.0
    (2 ratings)
    7.3
    (1 ratings)
    Vendor pre-sale
    9.0
    (2 ratings)
    8.2
    (1 ratings)
    User Testimonials
    Db2IBM Watson Studio
    Likelihood to Recommend
    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
    IBM
    It has a lot of features that are good for teams working on large-scale projects and continuously developing and reiterating their data project models. Really helpful when dealing with large data. It is a kind of one-stop solution for all data science tasks like visualization, cleaning, analyzing data, and developing models but small teams might find a lot of features unuseful.
    Incentivized
    Read full review
    Pros
    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
    IBM
    • Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
    • SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
    • Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
    • Estimator validation lets data scientists test and prove different models.
    Incentivized
    Read full review
    Cons
    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
    IBM
    • The cost is steep and so only companies with resources can afford it
    • It will be nice to have Chinese versions so that Chinese engineers can also use it easily
    • It takes a while to learn how to input different kinds of skin defects for detection
    Incentivized
    Read full review
    Likelihood to Renew
    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
    IBM
    because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
    Incentivized
    Read full review
    Usability
    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
    IBM
    The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
    Incentivized
    Read full review
    Reliability and Availability
    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
    IBM
    From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected
    Incentivized
    Read full review
    Performance
    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
    IBM
    Never had slow response even on our very busy network
    Incentivized
    Read full review
    Support Rating
    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
    IBM
    I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path
    Incentivized
    Read full review
    In-Person Training
    IBM
    the material was very clear and all subjects have been handled
    Incentivized
    Read full review
    IBM
    The trainers on the job are very smart with solutions and very able in teaching
    Incentivized
    Read full review
    Online Training
    IBM
    No answers on this topic
    IBM
    The Platform is very handy and suggests further steps according my previous interests
    Incentivized
    Read full review
    Implementation Rating
    IBM
    db2 work well with the application, also the replication tool can keep it up
    Read full review
    IBM
    It surprised us with unpredictable case of use and brand new points of view
    Incentivized
    Read full review
    Alternatives Considered
    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
    IBM
    The main reason I personally changed over from Azure ML Studio is because it lacked any support for significant custom modelling with packages and services such as TensorFlow, scikit-learn, Microsoft Cognitive Toolkit and Spark ML. IBM Watson Studio provides these services and does so in a well integrated and easy to use fashion making it a preferable service over the other services that I have personally used.
    Incentivized
    Read full review
    Scalability
    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
    IBM
    It helped us in getting from 0 to DSX without getting lost
    Incentivized
    Read full review
    Return on Investment
    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
    IBM
    • Could instantly show data driven insights to drive 20% incremental revenue over existing results
    • Still don't have a real use case for unstructured data like twitter feed
    • Some of the insights around user actions have driven new projects to automate mundane tasks
    Incentivized
    Read full review
    ScreenShots

    Db2 Screenshots

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