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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    Oracle Database

    Score8.2 out of 10
    N/AOracle Database, currently in edition 23ai, is a converged, multimodel database management system. It is designed to simplify development for AI, microservices, graph, document, spatial, and relational applications.

    $0.05

    per hour

    Pricing
    Jupyter NotebookOracle Database
    Editions & Modules
    No answers on this topic
    Oracle Base Database Service - Standard
    $0.0538
    per hour
    Oracle Base Database Service - Enterprise
    $0.1075
    per hour
    Oracle Base Database Service - High Performance
    $0.2218
    per hour
    Standard Edition
    Contact Sales
    Enterprise Edition
    Contact Sales
    Personal Edition
    Contact Sales
    Offerings
    Pricing Offerings
    Jupyter NotebookOracle Database
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Jupyter NotebookOracle Database
    Considered Both Products
    Open Source
    No answer on this topic
    Oracle
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    23 Answers
    86%
    Would buy again
    24 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    23 Answers
    83%
    Delivers good value for the price
    19 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    22 Answers
    89%
    Happy with the feature set
    25 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    17 Answers
    88%
    Lived up to sales and marketing promises
    14 Answers
    Implementation went as expected
    95%
    Implementation went as expected
    20 Answers
    91%
    Implementation went as expected
    21 Answers
    Features
    Jupyter NotebookOracle Database
    Platform Connectivity
    Comparison of Platform Connectivity features of Jupyter Notebook and Oracle Database
    Feature
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    Oracle Database
    -
    Ratings
    Connect to Multiple Data Sources10.022 Ratings00 Ratings
    Extend Existing Data Sources10.021 Ratings00 Ratings
    Automatic Data Format Detection8.514 Ratings00 Ratings
    MDM Integration7.415 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Jupyter Notebook and Oracle Database
    Feature
    Jupyter Notebook
    7.0
    22 Ratings
    19% below category average
    Oracle Database
    -
    Ratings
    Visualization6.022 Ratings00 Ratings
    Interactive Data Analysis8.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Jupyter Notebook and Oracle Database
    Feature
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    Oracle Database
    -
    Ratings
    Interactive Data Cleaning and Enrichment10.021 Ratings00 Ratings
    Data Transformations10.022 Ratings00 Ratings
    Data Encryption8.514 Ratings00 Ratings
    Built-in Processors9.314 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Jupyter Notebook and Oracle Database
    Feature
    Jupyter Notebook
    9.3
    22 Ratings
    9% above category average
    Oracle Database
    -
    Ratings
    Multiple Model Development Languages and Tools10.021 Ratings00 Ratings
    Automated Machine Learning9.218 Ratings00 Ratings
    Single platform for multiple model development10.022 Ratings00 Ratings
    Self-Service Model Delivery8.020 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of Jupyter Notebook and Oracle Database
    Feature
    Jupyter Notebook
    10.0
    20 Ratings
    16% above category average
    Oracle Database
    -
    Ratings
    Flexible Model Publishing Options10.020 Ratings00 Ratings
    Security, Governance, and Cost Controls10.019 Ratings00 Ratings
    Relational Databases
    Comparison of Relational Databases features of Jupyter Notebook and Oracle Database
    Feature
    Jupyter Notebook
    -
    Ratings
    Oracle Database
    8.3
    7 Ratings
    2% above category average
    ACID compliance00 Ratings8.47 Ratings
    Database monitoring00 Ratings8.77 Ratings
    Database locking00 Ratings8.77 Ratings
    Encryption00 Ratings9.06 Ratings
    Disaster recovery00 Ratings8.86 Ratings
    Flexible deployment00 Ratings6.47 Ratings
    Multiple datatypes00 Ratings8.17 Ratings
    Best Alternatives
    Jupyter NotebookOracle Database
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    Amazon RDS
    Score8.1 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    SingleStore
    Score8.2 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    SAP IQ
    Score5.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Jupyter NotebookOracle Database
    Likelihood to Recommend
    10.0
    (23 ratings)
    8.2
    (199 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.0
    (6 ratings)
    Usability
    10.0
    (2 ratings)
    7.6
    (13 ratings)
    Support Rating
    9.0
    (1 ratings)
    7.0
    (5 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.6
    (3 ratings)
    User Testimonials
    Jupyter NotebookOracle Database
    Likelihood to Recommend
    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
    Oracle
    We migrated from NoSQL to an Oracle database. One of the reasons was robust backup and recovery options available in the Oracle database, which provide zero data loss. A transactional database like Oracle is a better fit for our use case than NoSQL. On a large scale, deployment was evaluated as a cheaper option than the NoSQL engine. This conclusion came even after considering Oracle license is expensive.
    Incentivized
    Read full review
    Pros
    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
    Oracle
    • Supports most of the Operating Systems like Unix, Linux and Windows Server.
    • It works well in high load environment under intense parallel transactions setup.
    • Highly reliable DBMS, especially RAC is very much reliable.
    • Well managed and predictable release of security patches.
    • We have highly scaled it from on-prem to a cloud cluster environment for our product.
    • One of the best-performing DBMSs on Linux machines under test delivers high throughput (QPS).
    Incentivized
    Read full review
    Cons
    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
    Oracle
    • The memory demand and management makes it impossible to run it in a container.
    • It is hard to perform local unit testing with Oracle even using the personal edition (aggressive all the available memory grab for itself).
    • Lack of built in database migrations (e.g. as Flyway).
    • The need to install the Oracle client in addition to its drivers.
    • The cost of running it, especially in the Cloud.
    • Comes with very spartan community grade client/management tools whereas the commercial offerings tend to demand a premium price.
    Incentivized
    Read full review
    Likelihood to Renew
    Open Source
    No answers on this topic
    Oracle
    There is a lot of sunk cost in a product like Oracle 12c. It is doing a great job, it would not provide us much benefit to switch to another product even if it did the same thing due to the work involved in making such a switch. It would not be cost effective.
    Incentivized
    Read full review
    Usability
    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
    Oracle
    Many of the powerful options can be auto-configured but there are still many things to take into account at the moment of installing and configuring an Oracle Database, compared with SQL Server or other databases. At the same time, that extra complexity allows for detailed configuration and guarantees performance, scalability, availability and security.
    Incentivized
    Read full review
    Support Rating
    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
    Oracle
    1. I have very good experience with Oracle Database support team. Oracle support team has pool of talented Oracle Analyst resources in different regions. To name a few regions - EMEA, Asia, USA(EST, MST, PST), Australia. Their support staffs are very supportive, well trained, and customer focused. Whenever I open Oracle Sev1 SR(service request), I always get prompt update on my case timely. 2. Oracle has zoom call and chat session option linked to Oracle SR. Whenever you are in Oracle portal - you can chat with the Oracle Analyst who is working on your case. You can request for Oracle zoom call thru which you can share the your problem server screen in no time. This is very nice as it saves lot of time and energy in case you have to follow up with oracle support for your case. 3.Oracle has excellent knowledge base in which all the customer databases critical problems and their solutions are well documented. It is very easy to follow without consulting to support team at first.
    Incentivized
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    Implementation Rating
    Open Source
    No answers on this topic
    Oracle
    Overall the implementation went very well and after that everything came out as expected - in terms of performance and scalability. People should always install and upgrade a stable version for production with the latest patch set updates, test properly as much as possible, and should have a backup plan if anything unexpected happens
    Read full review
    Alternatives Considered
    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
    Oracle
    Because of a rich user base and support for any critical issue, this is one of the best options to choose. In case the project has a TCO issue, it can compromise and choose Postgres as the best alternative. SQL server is also good and easy to code and maintain but performance is not as good as the Oracle
    Incentivized
    Read full review
    Return on Investment
    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
    Oracle
    • Multiple applications can use the same database and still get high performance
    • Licensing cost is still a concern compared to the other options available in the market that are very very inexpensive
    • Almost a maintenance free database
    • Oracle Grid makes life easy in terms of monitoring and managing the databases
    Incentivized
    Read full review
    ScreenShots