Dataiku vs. Plotly Dash

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dataiku
Score 8.2 out of 10
N/A
The Dataiku platform unifies data work from analytics to Generative AI. It supports enterprise analytics with visual, cloud-based tooling for data preparation, visualization, and workflow automation.N/A
Plotly Dash
Score 8.0 out of 10
N/A
Plotly headquartered in Montreal creates data visualization and UI tools for ML, data science, engineering, and the sciences with language support for Python, R, Julia, and JS. Plotly's Dash aims to empower teams to build data science and ML apps that put Python, R, and Julia in the hands of business users. The vendor states that full stack apps that would typically require a front-end, backend, and dev ops team can be built and deployed in hours by data scientists with Dash.N/A
Pricing
DataikuPlotly Dash
Editions & Modules
Discover
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Business
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Enterprise
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Offerings
Pricing Offerings
DataikuPlotly Dash
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
DataikuPlotly Dash
Features
DataikuPlotly Dash
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Dataiku
8.6
5 Ratings
3% above category average
Plotly Dash
8.9
3 Ratings
6% above category average
Connect to Multiple Data Sources8.05 Ratings8.43 Ratings
Extend Existing Data Sources10.04 Ratings9.33 Ratings
Automatic Data Format Detection10.05 Ratings8.43 Ratings
MDM Integration6.52 Ratings9.52 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Dataiku
10.0
5 Ratings
18% above category average
Plotly Dash
9.0
4 Ratings
7% above category average
Visualization10.05 Ratings9.04 Ratings
Interactive Data Analysis10.05 Ratings9.04 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Dataiku
9.5
5 Ratings
16% above category average
Plotly Dash
6.2
2 Ratings
27% below category average
Interactive Data Cleaning and Enrichment9.05 Ratings4.42 Ratings
Data Transformations9.05 Ratings8.52 Ratings
Data Encryption10.04 Ratings3.92 Ratings
Built-in Processors10.04 Ratings8.02 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Dataiku
8.5
5 Ratings
1% above category average
Plotly Dash
8.4
2 Ratings
0% below category average
Multiple Model Development Languages and Tools8.05 Ratings9.02 Ratings
Automated Machine Learning8.05 Ratings7.01 Ratings
Single platform for multiple model development8.05 Ratings9.02 Ratings
Self-Service Model Delivery10.04 Ratings8.52 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Dataiku
8.0
5 Ratings
6% below category average
Plotly Dash
9.7
2 Ratings
13% above category average
Flexible Model Publishing Options8.05 Ratings9.52 Ratings
Security, Governance, and Cost Controls8.05 Ratings10.02 Ratings
Best Alternatives
DataikuPlotly Dash
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 8.6 out of 10
Jupyter Notebook
Jupyter Notebook
Score 8.6 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
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Score 10.0 out of 10
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User Ratings
DataikuPlotly Dash
Likelihood to Recommend
10.0
(4 ratings)
8.0
(4 ratings)
Usability
10.0
(1 ratings)
-
(0 ratings)
Support Rating
9.4
(3 ratings)
-
(0 ratings)
User Testimonials
DataikuPlotly Dash
Likelihood to Recommend
Dataiku
Dataiku is an awesome tool for data scientists. It really makes our lives easier. It is also really good for non technical users to see and follow along with the process. I do think that people can fall into the trap of using it without any knowledge at all because so much is automated, but I dont think that is the fault of Dataiku.
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Plotly
Applicable for data visualization across disciplines. I have used it for data from buildings, building occupancy, public health, and statistics. It is a useful tool to use for big data. It has nice templates and a number of interesting visualization types. If you are familiar with R and python it is easy to use.
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Pros
Dataiku
  • Allows users to collaborate and monitor individual tasks
  • Caters to both types of analysts, coders and non-coders, alike
  • Integrate graphs and plots with visualization tools such as Tableau
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Plotly
  • Powerful visualization options.
  • Ability to create in-browser interactive visualization apps.
  • Ability to create hosted apps.
  • Allows you to develop web-based reporting applications without requiring web application development expertise.
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Cons
Dataiku
  • The integrated windows of frontend and backend in web applications make it cumbersome for the developer.
  • When dealing with multiple data flows, it becomes really confusing, though they have introduced a feature (Zones) to cater to this issue.
  • Bundling, exporting, and importing projects sometimes create issues related to code environment. If the code environment is not available, at least the schema of the flow we should be able to import should be.
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Plotly
  • Would be good if Dashboard Engine was included in the Enterprise VPC plan
  • Would love to see ready made fintech apps
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Usability
Dataiku
The user experience is very good. Everything feels intuitive and "flows" (sorry excuse the pun) so nicely, and the customization level is also appropriate to the tool. Even as a newer data scientist, it felt easy to use and the explanations/tutorials were very good. The documentation is also at a good level
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Plotly
No answers on this topic
Support Rating
Dataiku
The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.
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Plotly
No answers on this topic
Alternatives Considered
Dataiku
Anaconda is mainly used by professional data scientists who have profound knowledge of Python coding, mainly used for building some new algorithm block or some optimization, then the module will be integrated into the Dataiku pipeline/workflow. While Dataiku can be used by even other kinds of users.
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Plotly
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Return on Investment
Dataiku
  • Customer satisfaction
  • Timely project delivery
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Plotly
  • A no-cost option as it is open sourced.
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