What users are saying about
15 Ratings
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Top Rated
86 Ratings
15 Ratings
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Score 8.7 out of 100

Jupyter Notebook

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Top Rated
86 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>
Score 8.9 out of 100

Likelihood to Recommend

Dataiku DSS

Dataiku DSS is very well suited to handle large datasets and projects which requires a huge team to deliver results. This allows users to collaborate with each other while working on individual tasks. The workflow is easily streamlined and every action is backed up, allowing users to revert to specific tasks whenever required.While Dataiku DSS works seamlessly with all types of projects dealing with structured datasets, I haven't come across projects using Dataiku dealing with images/audio signals. But a workaround would be to store the images as vectors and perform the necessary tasks.
Anonymous | TrustRadius Reviewer

Jupyter Notebook

We can write our codes in a very neat and clean manner using it and can run our codes in different segments so that if we have some large data to process and if by any chance it fails at any point, we can simply make changes to that particular segment. So we can really save time through this.
Ayush Pandey | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Dataiku DSS
8.9
Jupyter Notebook
8.3
Connect to Multiple Data Sources
Dataiku DSS
9.8
Jupyter Notebook
8.5
Extend Existing Data Sources
Dataiku DSS
9.6
Jupyter Notebook
8.6
Automatic Data Format Detection
Dataiku DSS
9.6
Jupyter Notebook
8.6
MDM Integration
Dataiku DSS
6.5
Jupyter Notebook
7.7

Data Exploration

Dataiku DSS
8.5
Jupyter Notebook
9.1
Visualization
Dataiku DSS
8.3
Jupyter Notebook
9.2
Interactive Data Analysis
Dataiku DSS
8.7
Jupyter Notebook
9.0

Data Preparation

Dataiku DSS
8.9
Jupyter Notebook
8.4
Interactive Data Cleaning and Enrichment
Dataiku DSS
9.4
Jupyter Notebook
8.8
Data Transformations
Dataiku DSS
9.1
Jupyter Notebook
8.6
Data Encryption
Dataiku DSS
8.1
Jupyter Notebook
8.1
Built-in Processors
Dataiku DSS
8.8
Jupyter Notebook
8.0

Platform Data Modeling

Dataiku DSS
8.2
Jupyter Notebook
8.7
Multiple Model Development Languages and Tools
Dataiku DSS
6.9
Jupyter Notebook
8.8
Automated Machine Learning
Dataiku DSS
8.6
Jupyter Notebook
8.6
Single platform for multiple model development
Dataiku DSS
8.6
Jupyter Notebook
8.7
Self-Service Model Delivery
Dataiku DSS
8.6
Jupyter Notebook
8.6

Model Deployment

Dataiku DSS
8.1
Jupyter Notebook
8.6
Flexible Model Publishing Options
Dataiku DSS
8.0
Jupyter Notebook
8.8
Security, Governance, and Cost Controls
Dataiku DSS
8.2
Jupyter Notebook
8.4

Pros

Dataiku DSS

  • The intuitiveness of this tool is very good.
  • Click or Code - If you are a coder, you can code. If you are a manager, you can wrangle with data with visuals
  • The way you can control things, the set of APIs gives a lot of flexibility to a developer.
Devesh Singh | TrustRadius Reviewer

Jupyter Notebook

  • Jupyter Notebooks are known much for its combination of markdowns and codes which makes easier to read a code
  • Jupyter has an easy navigation platform compared to others.
  • Jupyter makes python programming because of some compelling features like viewing details of bash executions.
Kofi Joshua | TrustRadius Reviewer

Cons

Dataiku DSS

  • End product deployment.
Anonymous | TrustRadius Reviewer

Jupyter Notebook

  • I'd like to see bookmarks made available for easier scrolling through long notebooks.
  • A dark mode option would be helpful, too.
  • I wish that the display of graphics would be a little bit more customizable as a native function of Jupyter.
Lindsay Veazey | TrustRadius Reviewer

Usability

Dataiku DSS

Dataiku DSS 10.0
Based on 1 answer
As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.
Devesh Singh | TrustRadius Reviewer

Jupyter Notebook

Jupyter Notebook 10.0
Based on 1 answer
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.
Anonymous | TrustRadius Reviewer

Support Rating

Dataiku DSS

Dataiku DSS 9.1
Based on 3 answers
The support team is very helpful, and even when we discover the missing features, after providing enough rational reasons and requirements, they put into it their development pipeline for the future release.
Anonymous | TrustRadius Reviewer

Jupyter Notebook

Jupyter Notebook 9.0
Based on 1 answer
I haven't had a need to contact support. However, all required help is out there in public forums.
Anonymous | TrustRadius Reviewer

Alternatives Considered

Dataiku DSS

Strictly for Data Science operations, Anaconda can be considered as a subset of Dataiku DSS. While Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.
Anonymous | TrustRadius Reviewer

Jupyter Notebook

I have used PyCharm as well as Jupyter Notebook and for me, Jupyter wins almost every time. I really like its user-friend interface for someone who is new to python programming. The ability to run a big chunk of code part by part is a big game-changer for me. One thing I would like is a night mode just like PyCharm as it helps the night owls like myself who work a big part during the night. I also like how Anaconda command prompt helps you download a library and just a simple import statement in the notebook helps you extract every functionality.
Rounak Verma | TrustRadius Reviewer

Return on Investment

Dataiku DSS

  • Given its open source status, only cost is the learning curve, which is minimal compared to time savings for data exploration.
  • Platform also ease tracking of data processing workflow, unlike Excel.
  • Build-in data visualizations covers many use cases with minimal customization; time saver.
Anonymous | TrustRadius Reviewer

Jupyter Notebook

  • 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
Lindsay Veazey | TrustRadius Reviewer

Pricing Details

Dataiku DSS

General

Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Dataiku DSS Editions & Modules

Edition
DiscoverContact sales team
BusinessContact sales team
EnterpriseContact sales team
  1. none
Additional Pricing Details

Jupyter Notebook

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Jupyter Notebook Editions & Modules

Additional Pricing Details

Rating Summary

Likelihood to Recommend

Dataiku DSS
8.7
Jupyter Notebook
9.1

Usability

Dataiku DSS
10.0
Jupyter Notebook
10.0

Support Rating

Dataiku DSS
9.1
Jupyter Notebook
9.0

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