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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

    Jupyter Notebook

    Score8.6 out of 10
    N/AJupyter Notebook is an open-source web application that allows users to create and share documents containing live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and machine learning. It supports over 40 programming languages, and notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer. It is used with JupyterLab, a web-based IDE for…N/A
    Pricing
    Db2Jupyter Notebook
    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
    Db2Jupyter Notebook
    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
    Db2Jupyter Notebook
    Considered Both Products
    IBM
    Chose Db2
    Db2 is more scalable, reliable, and easily configurable than all the products that we evaluated. We were already using some of the services provided by IBM and were satisfied with the support and pricing. This led us to select Db2 as our database management system.
    Incentivized
    Chose Db2
    MySQL was definitely faster in terms of making queries, but DB2 had many features that protected against errors and easier to use for SQL beginners.
    Incentivized
    Open Source
    No answer on this topic
    Key User Insights
    Would buy again
    96%
    Would buy again
    103 Answers
    100%
    Would buy again
    23 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    95 Answers
    100%
    Delivers good value for the price
    23 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    103 Answers
    96%
    Happy with the feature set
    22 Answers
    Lived up to sales and marketing promises
    96%
    Lived up to sales and marketing promises
    66 Answers
    100%
    Lived up to sales and marketing promises
    17 Answers
    Implementation went as expected
    99%
    Implementation went as expected
    89 Answers
    95%
    Implementation went as expected
    20 Answers
    Features
    Db2Jupyter Notebook
    Platform Connectivity
    Comparison of Platform Connectivity features of Db2 and Jupyter Notebook
    Feature
    Db2
    -
    Ratings
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    Connect to Multiple Data Sources00 Ratings10.022 Ratings
    Extend Existing Data Sources00 Ratings10.021 Ratings
    Automatic Data Format Detection00 Ratings8.514 Ratings
    MDM Integration00 Ratings7.415 Ratings
    Data Exploration
    Comparison of Data Exploration features of Db2 and Jupyter Notebook
    Feature
    Db2
    -
    Ratings
    Jupyter Notebook
    7.0
    22 Ratings
    19% below category average
    Visualization00 Ratings6.022 Ratings
    Interactive Data Analysis00 Ratings8.022 Ratings
    Data Preparation
    Comparison of Data Preparation features of Db2 and Jupyter Notebook
    Feature
    Db2
    -
    Ratings
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    Interactive Data Cleaning and Enrichment00 Ratings10.021 Ratings
    Data Transformations00 Ratings10.022 Ratings
    Data Encryption00 Ratings8.514 Ratings
    Built-in Processors00 Ratings9.314 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Db2 and Jupyter Notebook
    Feature
    Db2
    -
    Ratings
    Jupyter Notebook
    9.3
    22 Ratings
    9% above category average
    Multiple Model Development Languages and Tools00 Ratings10.021 Ratings
    Automated Machine Learning00 Ratings9.218 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 Jupyter Notebook
    Feature
    Db2
    -
    Ratings
    Jupyter Notebook
    10.0
    20 Ratings
    16% above category average
    Flexible Model Publishing Options00 Ratings10.020 Ratings
    Security, Governance, and Cost Controls00 Ratings10.019 Ratings
    Best Alternatives
    Db2Jupyter Notebook
    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
    IBM Watson Studio
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Db2Jupyter Notebook
    Likelihood to Recommend
    9.1
    (114 ratings)
    10.0
    (23 ratings)
    Likelihood to Renew
    7.9
    (12 ratings)
    -
    (0 ratings)
    Usability
    8.5
    (9 ratings)
    10.0
    (2 ratings)
    Availability
    9.3
    (64 ratings)
    -
    (0 ratings)
    Performance
    9.1
    (12 ratings)
    -
    (0 ratings)
    Support Rating
    8.9
    (6 ratings)
    9.0
    (1 ratings)
    In-Person Training
    8.2
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    5.6
    (3 ratings)
    -
    (0 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)
    -
    (0 ratings)
    Vendor post-sale
    9.0
    (2 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    9.0
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    Db2Jupyter Notebook
    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
    Open Source
    I've created a number of daisy chain notebooks for different workflows, and every time, I create my workflows with other users in mind. Jupiter Notebook makes it very easy for me to outline my thought process in as granular a way as I want without using innumerable small. inline comments.
    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
    Open Source
    • Simple and elegant code writing ability. Easier to understand the code that way.
    • The ability to see the output after each step.
    • The ability to use ton of library functions in Python.
    • Easy-user friendly interface.
    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
    Open Source
    • Need more Hotkeys for creating a beautiful notebook. Sometimes we need to download other plugins which messes [with] its default settings.
    • Not as powerful as IDE, which sometimes makes [the] job difficult and allows duplicate code as it get confusing when the number of lines increases. Need a feature where [an] error comes if duplicate code is found or [if a] developer tries the same function name.
    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
    Open Source
    No answers on this topic
    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
    Open Source
    Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.
    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
    Open Source
    No answers on this topic
    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
    Open Source
    No answers on this topic
    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
    Open Source
    I haven't had a need to contact support. However, all required help is out there in public forums.
    Incentivized
    Read full review
    In-Person Training
    IBM
    the material was very clear and all subjects have been handled
    Incentivized
    Read full review
    Open Source
    No answers on this topic
    Implementation Rating
    IBM
    db2 work well with the application, also the replication tool can keep it up
    Read full review
    Open Source
    No answers on this topic
    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
    Open Source
    With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better business decisions and save cost to the company. It stacks up better as we know Python is more widely used than R in the industry and can be learnt easily. Unlike PyCharm jupyter notebooks can be used to make documentations and exported in a variety of formats.
    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
    Open Source
    No answers on this topic
    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
    Open Source
    • Positive impact: flexible implementation on any OS, for many common software languages
    • Positive impact: straightforward duplication for adaptation of workflows for other projects
    • Negative impact: sometimes encourages pigeonholing of data science work into notebooks versus extending code capability into software integration
    Incentivized
    Read full review
    ScreenShots

    Db2 Screenshots

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