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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

    Splunk Cloud Platform

    Score8 out of 10
    N/ASplunk Cloud Platform is a data platform service thats help users search, analyze, visualize and act on data. The service can go live in as little as two days, and with an IT backend managed by Splunk experts.N/A
    Pricing
    Jupyter NotebookSplunk Cloud Platform
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Jupyter NotebookSplunk Cloud Platform
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Jupyter NotebookSplunk Cloud Platform
    Considered Both Products
    Open Source
    No answer on this topic
    Cisco
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    23 Answers
    100%
    Would buy again
    15 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    23 Answers
    92%
    Delivers good value for the price
    11 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    22 Answers
    100%
    Happy with the feature set
    15 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    17 Answers
    91%
    Lived up to sales and marketing promises
    10 Answers
    Implementation went as expected
    95%
    Implementation went as expected
    20 Answers
    100%
    Implementation went as expected
    13 Answers
    Features
    Jupyter NotebookSplunk Cloud Platform
    Platform Connectivity
    Comparison of Platform Connectivity features of Jupyter Notebook and Splunk Cloud Platform
    Feature
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    Splunk Cloud Platform
    -
    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 Splunk Cloud Platform
    Feature
    Jupyter Notebook
    7.0
    22 Ratings
    19% below category average
    Splunk Cloud Platform
    -
    Ratings
    Visualization6.022 Ratings00 Ratings
    Interactive Data Analysis8.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Jupyter Notebook and Splunk Cloud Platform
    Feature
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    Splunk Cloud Platform
    -
    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 Splunk Cloud Platform
    Feature
    Jupyter Notebook
    9.3
    22 Ratings
    9% above category average
    Splunk Cloud Platform
    -
    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 Splunk Cloud Platform
    Feature
    Jupyter Notebook
    10.0
    20 Ratings
    16% above category average
    Splunk Cloud Platform
    -
    Ratings
    Flexible Model Publishing Options10.020 Ratings00 Ratings
    Security, Governance, and Cost Controls10.019 Ratings00 Ratings
    Security Information and Event Management (SIEM)
    Comparison of Security Information and Event Management (SIEM) features of Jupyter Notebook and Splunk Cloud Platform
    Feature
    Jupyter Notebook
    -
    Ratings
    Splunk Cloud Platform
    8.2
    20 Ratings
    3% above category average
    Centralized event and log data collection00 Ratings9.019 Ratings
    Correlation00 Ratings8.419 Ratings
    Event and log normalization/management00 Ratings9.220 Ratings
    Deployment flexibility00 Ratings7.220 Ratings
    Integration with Identity and Access Management Tools00 Ratings7.718 Ratings
    Custom dashboards and workspaces00 Ratings8.920 Ratings
    Host and network-based intrusion detection00 Ratings8.217 Ratings
    Data integration/API management00 Ratings7.310 Ratings
    Behavioral analytics and baselining00 Ratings7.28 Ratings
    Rules-based and algorithmic detection thresholds00 Ratings8.210 Ratings
    Response orchestration and automation00 Ratings7.48 Ratings
    Reporting and compliance management00 Ratings8.810 Ratings
    Incident indexing/searching00 Ratings8.711 Ratings
    Best Alternatives
    Jupyter NotebookSplunk Cloud Platform
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    No answers on this topic
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    IBM Security QRadar SIEM
    Score8.9 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    SolarWinds Security Event Manager (SEM)
    Score8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Jupyter NotebookSplunk Cloud Platform
    Likelihood to Recommend
    10.0
    (23 ratings)
    8.8
    (21 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.1
    (1 ratings)
    Usability
    10.0
    (2 ratings)
    8.4
    (7 ratings)
    Support Rating
    9.0
    (1 ratings)
    7.2
    (4 ratings)
    User Testimonials
    Jupyter NotebookSplunk Cloud Platform
    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
    Cisco
    Splunk is excellent when all your data is in one location. Its ability to correlate all that data is intuitive (once the hurdle of learning the query language is overcome). It is also easy to standardize the presentation of information to the company. When data is siloed/standalone, other systems can be cheaper and faster to implement.
    Incentivized
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    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
    Cisco
    • This SIEM consolidates multiple data points and offers several features and benefits, creating custom dashboards and managing alert workflows.
    • Splunk Cloud provides a simple way to have a central monitoring and security solution. Though it does not have a huge learning curve, you should spend some time learning the basics.
    • Splunk Cloud enables me to create and schedule statistical reports on network use for Management.
    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
    Cisco
    • The SPL programming language that the queries are built in is not very intuitive.
    • There should be a better repository of pre-built queries for what I would think of as common Active Directory usage monitoring.
    • I would like to see more free training/familiarization information made available.
    Incentivized
    Read full review
    Likelihood to Renew
    Open Source
    No answers on this topic
    Cisco
    Ease of use and have all the features we need
    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
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    Cisco
    Splunk AI Assistant for SPL is good tool, as I said, it is really useful for educational purpose, taking in its hands small and simple tasks (ex:small query dashboard,...), but it's not a ten because the contextual memory for complex issues/dashboarding/reports etc can be limited, and can sometime suggets none optimized query which are not always checked by teammates and can cause issue on the long term.
    Incentivized
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    Support Rating
    Open Source
    I haven't had a need to contact support. However, all required help is out there in public forums.
    Incentivized
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    Cisco
    Splunk Cloud support is sorely lacking unfortunately. The portal where you submit tickets is not very good and is lacking polish. Tickets are left for days without any updates and when chased it is only sometimes you get a reply back. I get the feeling the support team are very understaffed and have far too much going on. From what I know, Splunk is aware of this and seem to be trying to remedy it.
    Incentivized
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    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
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    Cisco
    Vs elastic: - SPL's statistical functions superior to KQL for complex correlations - Better enterprise support, less operational overhead - Splunk Cloud Platform's detection engineering more mature vs Sentinel: - SPL more powerful than KQL for custom analytics - Better cross-platform visibility (non-Azure environments) vs Datadog - SPL enables deeper forensic Investigations - Superior compliance/audit capabilities
    Incentivized
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    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
    Cisco
    • End-end visibility across your departmental silos
    • Strengthen the overall global monitoring posture
    • Move from Reactive to Proactive Monitoring
    • Highly secure environment at your finger-tips
    • Takes you away from managing infrastructure/administration, allows saving time & money. Reduce the overall TCO (Total Cost of Ownership)
    Incentivized
    Read full review
    ScreenShots