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Jupyter Notebook vs. Teradata Autonomous Knowledge Platform

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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

    Teradata Autonomous Knowledge Platform

    Score8 out of 10
    N/ATeradata Vantage is presented as a modern analytics cloud platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Supports hybrid multi-cloud environments and priced for flexibility, Vantage delivers unlimited intelligence to build the future of business. Users can deploy Vantage on public clouds (such as AWS, Azure, and GCP), hybrid multi-cloud environments, on-premises with Teradata IntelliFlex, or on commodity hardware with VMware.

    $4,800

    per month

    Pricing
    Jupyter NotebookTeradata Autonomous Knowledge Platform
    Editions & Modules
    No answers on this topic
    Teradata VantageCloud Lake
    from $4800
    per month
    Teradata VantageCloud Enterprise
    from $9000
    per month
    Offerings
    Pricing Offerings
    Jupyter NotebookTeradata Autonomous Knowledge Platform
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    Jupyter NotebookTeradata Autonomous Knowledge Platform
    Considered Both Products
    Open Source
    No answer on this topic
    Teradata
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    23 Answers
    94%
    Would buy again
    47 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    23 Answers
    100%
    Delivers good value for the price
    37 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    22 Answers
    98%
    Happy with the feature set
    49 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    17 Answers
    100%
    Lived up to sales and marketing promises
    28 Answers
    Implementation went as expected
    95%
    Implementation went as expected
    20 Answers
    97%
    Implementation went as expected
    37 Answers
    Features
    Jupyter NotebookTeradata Autonomous Knowledge Platform
    Platform Connectivity
    Comparison of Platform Connectivity features of Jupyter Notebook and Teradata Autonomous Knowledge Platform
    Feature
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    Teradata Autonomous Knowledge 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 Teradata Autonomous Knowledge Platform
    Feature
    Jupyter Notebook
    7.0
    22 Ratings
    19% below category average
    Teradata Autonomous Knowledge Platform
    -
    Ratings
    Visualization6.022 Ratings00 Ratings
    Interactive Data Analysis8.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Jupyter Notebook and Teradata Autonomous Knowledge Platform
    Feature
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    Teradata Autonomous Knowledge 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 Teradata Autonomous Knowledge Platform
    Feature
    Jupyter Notebook
    9.3
    22 Ratings
    9% above category average
    Teradata Autonomous Knowledge 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 Teradata Autonomous Knowledge Platform
    Feature
    Jupyter Notebook
    10.0
    20 Ratings
    16% above category average
    Teradata Autonomous Knowledge Platform
    -
    Ratings
    Flexible Model Publishing Options10.020 Ratings00 Ratings
    Security, Governance, and Cost Controls10.019 Ratings00 Ratings
    Best Alternatives
    Jupyter NotebookTeradata Autonomous Knowledge Platform
    Small Businesses
    RapidMiner
    Score8.9 out of 10
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    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 NotebookTeradata Autonomous Knowledge Platform
    Likelihood to Recommend
    10.0
    (23 ratings)
    9.4
    (62 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.2
    (6 ratings)
    Usability
    10.0
    (2 ratings)
    9.0
    (30 ratings)
    Support Rating
    9.0
    (1 ratings)
    7.3
    (2 ratings)
    Implementation Rating
    -
    (0 ratings)
    6.4
    (1 ratings)
    User Testimonials
    Jupyter NotebookTeradata Autonomous Knowledge 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
    Teradata
    Teradata Vantage is well suited for large scale ETL pipelines like the ones we developed for anti money laundering risk matrices. It handles heavy joins, aggregations, and transformations on transactional data efficiently. We generate alert variables, adjust for inflation, and monitor establishments monthly with it, all integrated with Python and Control-M for a centralised automation across the company. For less appropriate, I would say that heavy resource demands might slow down experimentation for iterative work.
    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
    Teradata
    • ETL (Extract - Transfor - Load)
    • NOS to send data from Teradata Vantage to S3 and from S3 to Teradata Vantage
    • Teradata GeoSpacial feature
    • Bulk reading and writing in huge tables
    • MPP capacity already mature
    • Temporal Capacity more mature that other solutions
    • TASM
    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
    Teradata
    • Teradata is an excellent option but only for a massive amount of data warehousing or analysis. If your data is not that big then it could be a misfit for your company and cost you a lot. The cost associated is quite extensive as compared to some other alternative RDBMS systems available in the market.
    • Migration of data from Teradata to some other RDBMS systems is quite painful as the transition is not that smooth and you need to follow many steps and even if one of them fails. You need to start from the beginning almost.
    • Last but not least the UI is pretty outdated and needs a revamp. Though it is simple, it needs to be presented in a much better way and more advanced options need to bee presented on the front page itself.
    Incentivized
    Read full review
    Likelihood to Renew
    Open Source
    No answers on this topic
    Teradata
    Teradata is a mature RDBMS system that expands its functionality towards the current cloud capabilities like object storage and flexible compute scale.
    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
    Teradata
    Teradata Vantage allows us to create a scalable infrastructure to support our strategic initiatives. The dedicated compute power ensures reliable performance with isolated workloads and dedicated resources, optimizing workflows for faster, more efficient data transfers. The compute clusters support ETL processes and OSF’s developers and data science team with the flexibility to create self-service analytics, to spin up/down at any time, driving better performance and minimizing costs.
    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
    Teradata
    We have meetings at the beginning with the technical team to explain our requirements to them and they were really putting in a lot of effort to come up with a solution which will address all our needs. They implemented the software and also trained a few of our resources on the same too. We can get in touch with them now as well whenever we run into a roadblock but it's very less now.
    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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    Teradata
    Teradata is way ahead of its competitor because of its unique features of ensuring data privacy and data never gets corrupted even in worst case scenario. In most cases, the data corruption is a major issue if left unused and it leads to important data being wiped off which in ideal case should be stored for 3 years
    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
    Teradata
    • Moving to Teradata in the Cloud-enabled a level of agility that previously didn't exist in the organization. It also enabled a level of analytic competency that was not achievable using other options on the aggressive timeline that was required. We didn't want to settle for reinventing a wheel when we had a super tuned performance capable beast readily available in Teradata. Teradata lets us focus on our business rather than spending money and effort trying to design software or database foundations features on an open source or lower performance platform.
    Incentivized
    Read full review
    ScreenShots

    Teradata Autonomous Knowledge Platform Screenshots

    Screenshot of Teradata VantageCloud Lake Console Financial GovernanceScreenshot of Teradata VantageCloud Lake Console Landing Page