Dataiku

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dataiku
Score 7.9 out of 10
N/A
Dataiku is a French startup and its product, DSS, is a challenger to market incumbents and features some visual tools to assist in building workflows.N/A
Pricing
Dataiku
Editions & Modules
Discover
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Business
Contact sales team
Enterprise
Contact sales team
Offerings
Pricing Offerings
Dataiku
Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Dataiku
Considered Both Products
Dataiku
Chose Dataiku
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 …
Chose Dataiku
Open source availability is a critical factor given licensing cost of other platforms and budget reasons. Secondly, the available features in the community version covers most of the use cases, thus making it comparable or even outdo commercial versions of other software. …
Chose 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 …
Top Pros
Top Cons
Features
Dataiku
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Dataiku
9.1
4 Ratings
7% above category average
Connect to Multiple Data Sources10.04 Ratings
Extend Existing Data Sources10.04 Ratings
Automatic Data Format Detection10.04 Ratings
MDM Integration6.52 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Dataiku
9.9
4 Ratings
16% above category average
Visualization9.94 Ratings
Interactive Data Analysis10.04 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Dataiku
10.0
4 Ratings
19% above category average
Interactive Data Cleaning and Enrichment10.04 Ratings
Data Transformations10.04 Ratings
Data Encryption10.04 Ratings
Built-in Processors10.04 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Dataiku
8.7
4 Ratings
2% above category average
Multiple Model Development Languages and Tools5.14 Ratings
Automated Machine Learning10.04 Ratings
Single platform for multiple model development10.04 Ratings
Self-Service Model Delivery10.04 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Dataiku
9.0
4 Ratings
5% above category average
Flexible Model Publishing Options9.04 Ratings
Security, Governance, and Cost Controls9.04 Ratings
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Dataiku
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Score 8.3 out of 10
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All AlternativesView all alternatives
User Ratings
Dataiku
Likelihood to Recommend
10.0
(4 ratings)
Usability
10.0
(1 ratings)
Support Rating
9.4
(3 ratings)
User Testimonials
Dataiku
Likelihood to Recommend
Dataiku
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.
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Pros
Dataiku
  • 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.
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Cons
Dataiku
  • End product deployment.
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Usability
Dataiku
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.
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Support Rating
Dataiku
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.
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Alternatives Considered
Dataiku
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.
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Return on Investment
Dataiku
  • 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.
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ScreenShots