Dataiku DSS

Dataiku DSS

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Score 9.0 out of 100
Dataiku DSS

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  • No setup fee

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  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

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Product Details

What is Dataiku DSS?

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.

Dataiku DSS Technical Details

Deployment TypesSaaS
Operating SystemsUnspecified
Mobile ApplicationNo

Comparisons

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Frequently Asked Questions

What is Dataiku DSS?

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.

What is Dataiku DSS's best feature?

Reviewers rate Connect to Multiple Data Sources highest, with a score of 9.9.

Who uses Dataiku DSS?

The most common users of Dataiku DSS are from Enterprises (1,001+ employees) and the Information Technology & Services industry.

Reviews and Ratings

 (15)

Ratings

Reviews

(1-4 of 4)
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Score 10 out of 10
Vetted Review
Verified User
Review Source
  • 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
  • Its community support is very limited at the moment
  • Complex to integrate with automation tools such as Blue Prism
Devesh Singh | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • 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.
  • 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.
Score 7 out of 10
Vetted Review
Verified User
Review Source
  • Very intuitive and easy to use UI, making a lot of types of users can collaborate with each other easily, by visualizing the same workflow.
  • Many building blocks can be reused immediately, avoid a lot of non-standard boiler plate implementation.
  • Data pre-analysis and feature engineering assistance increase the productivity as well as the efficiency of data scientists.
  • Many data connectors support wide range of data storage, from SQL, TeraData, Hadoop Hive, etc.
  • Support from research till final MaaS solution deployment.
  • The visualization feature of flow still has a lot room to improve, when the flow is complex.
  • The "non-coding" template/building block for deep learning lack of many important configurable parameters.
  • Lack of the unified way to allow applying the "design pattern" on the Python codes (if we want to develop our own module or building blocks.