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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

    Amazon Redshift

    Score8.9 out of 10
    N/AAmazon Redshift is a hosted data warehouse solution, from Amazon Web Services.

    $0.24

    per GB per month

    Pricing
    Jupyter NotebookAmazon Redshift
    Editions & Modules
    No answers on this topic
    Redshift Managed Storage
    $0.24
    per GB per month
    Current Generation
    $0.25 - $13.04
    per hour
    Previous Generation
    $0.25 - $4.08
    per hour
    Redshift Spectrum
    $5.00
    per terabyte of data scanned
    Offerings
    Pricing Offerings
    Jupyter NotebookAmazon Redshift
    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 NotebookAmazon Redshift
    Considered Both Products
    Open Source
    Chose Jupyter Notebook
    I selected Jupyter Notebook because this is better integrated with the existing production systems than optional tools (for example, R). It is also commonly used tool within the scientist community.
    Incentivized
    Amazon AWS
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    23 Answers
    78%
    Would buy again
    14 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    23 Answers
    82%
    Delivers good value for the price
    14 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    22 Answers
    78%
    Happy with the feature set
    14 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    17 Answers
    93%
    Lived up to sales and marketing promises
    14 Answers
    Implementation went as expected
    95%
    Implementation went as expected
    20 Answers
    100%
    Implementation went as expected
    16 Answers
    Features
    Jupyter NotebookAmazon Redshift
    Platform Connectivity
    Comparison of Platform Connectivity features of Jupyter Notebook and Amazon Redshift
    Feature
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    Amazon Redshift
    -
    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 Amazon Redshift
    Feature
    Jupyter Notebook
    7.0
    22 Ratings
    19% below category average
    Amazon Redshift
    -
    Ratings
    Visualization6.022 Ratings00 Ratings
    Interactive Data Analysis8.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Jupyter Notebook and Amazon Redshift
    Feature
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    Amazon Redshift
    -
    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 Amazon Redshift
    Feature
    Jupyter Notebook
    9.3
    22 Ratings
    9% above category average
    Amazon Redshift
    -
    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 Amazon Redshift
    Feature
    Jupyter Notebook
    10.0
    20 Ratings
    16% above category average
    Amazon Redshift
    -
    Ratings
    Flexible Model Publishing Options10.020 Ratings00 Ratings
    Security, Governance, and Cost Controls10.019 Ratings00 Ratings
    Best Alternatives
    Jupyter NotebookAmazon Redshift
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    No answers on this topic
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    Snowflake
    Score8.7 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    Snowflake
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Jupyter NotebookAmazon Redshift
    Likelihood to Recommend
    10.0
    (23 ratings)
    9.0
    (38 ratings)
    Usability
    10.0
    (2 ratings)
    9.0
    (10 ratings)
    Support Rating
    9.0
    (1 ratings)
    9.0
    (7 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Jupyter NotebookAmazon Redshift
    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
    Amazon AWS
    If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)
    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
    Amazon AWS
    • [Amazon] Redshift has Distribution Keys. If you correctly define them on your tables, it improves Query performance. For instance, we can define Mapping/Meta-data tables with Distribution-All Key, so that it gets replicated across all the nodes, for fast joins and fast query results.
    • [Amazon] Redshift has Sort Keys. If you correctly define them on your tables along with above Distribution Keys, it further improves your Query performance. It also has Composite Sort Keys and Interleaved Sort Keys, to support various use cases
    • [Amazon] Redshift is forked out of PostgreSQL DB, and then AWS added "MPP" (Massively Parallel Processing) and "Column Oriented" concepts to it, to make it a powerful data store.
    • [Amazon] Redshift has "Analyze" operation that could be performed on tables, which will update the stats of the table in leader node. This is sort of a ledger about which data is stored in which node and which partition with in a node. Up to date stats improves Query performance.
    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
    Amazon AWS
    • We've experienced some problems with hanging queries on Redshift Spectrum/external tables. We've had to roll back to and old version of Redshift while we wait for AWS to provide a patch.
    • Redshift's dialect is most similar to that of PostgreSQL 8. It lacks many modern features and data types.
    • Constraints are not enforced. We must rely on other means to verify the integrity of transformed tables.
    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
    Amazon AWS
    Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.
    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
    Amazon AWS
    The support was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support
    Incentivized
    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
    Amazon AWS
    Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS).
    Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again.
    Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.
    Incentivized
    Read full review
    Contract Terms and Pricing Model
    Open Source
    No answers on this topic
    Amazon AWS
    Redshift is relatively cheaper tool but since the pricing is dynamic, there is always a risk of exceeding the cost. Since most of our team is using it as self serve and there is no continuous tracking by a dedicated team, it really needs time & effort on analyst's side to know how much it is going to cost.
    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
    Amazon AWS
    • Our company is moving to the AWS infrastructure, and in this context moving the warehouse environments to Redshift sounds logical regardless of the cost.
    • Development organizations have to operate in the Dev/Ops mode where they build and support their apps at the same time.
    • Hard to estimate the overall ROI of moving to Redshift from my position. However, running Redshift seems to be inexpensive compared to all the licensing and hardware costs we had on our RDBMS platform before Redshift.
    Incentivized
    Read full review
    ScreenShots