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Dataiku

Dataiku

Overview

What is Dataiku?

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.

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Recent Reviews

TrustRadius Insights

Versatile Data Handling: Users have praised Dataiku DSS for its versatility in handling various data sources, including Python, R, SQL, …
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Pricing

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Cloud

Business

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Cloud

Enterprise

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Cloud

Entry-level set up fee?

  • No setup fee

Offerings

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

Dataiku DSS Demo: End-to-End [Portuguese]

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Demo Dataiku DSS ภาษาไทย

YouTube

End-to-End ML with Dataiku DSS

YouTube

Learn Data science Fast and Easy without code - Dataiku Demo

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Product Details

Dataiku Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux, Mac, VirtualBox / VMWare
Mobile ApplicationNo

Frequently Asked Questions

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.

DataRobot, H2O.ai, and KNIME Analytics Platform are common alternatives for Dataiku.

Reviewers rate Connect to Multiple Data Sources and Extend Existing Data Sources and Automatic Data Format Detection highest, with a score of 10.

The most common users of Dataiku are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(21)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Versatile Data Handling: Users have praised Dataiku DSS for its versatility in handling various data sources, including Python, R, SQL, and built-in tools. Some reviewers found this ability to transform unorganized data into valuable information through intuitive dashboards to be a crucial feature.

Manageable Data Pipelines: The presence of inbuilt recipes in Dataiku DSS has made data pipelines more manageable for users. This modular approach to pipeline creation and the availability of pre-built recipes for data transformation have been appreciated by several reviewers.

Ease of Use: Many users have highlighted the ease of use of Dataiku DSS. The platform's inclusion of all majorly applied operations as direct 'recipes' and the visual flow element that helps users keep track of their work intuitively are some factors that contribute to its user-friendly nature.

  1. User Interface: Some users have mentioned that the user interface of Dataiku DSS could use some improvements as it is not intuitive or easy to navigate. They have found it challenging to locate certain features and perform tasks efficiently.

  2. Limited support for multi-file projects: Several users have expressed frustration with the limited support for using multi-file projects as a recipe or pipeline in Dataiku DSS. They feel that this feature is not robust enough, making it difficult to handle complex workflows involving multiple files.

  3. Processing time for multi-user purposes: A number of users have experienced prolonged and stressful processing times when using Dataiku DSS for multi-user purposes, even with reduced users and training data. This has resulted in delays and inefficiencies in their workflow management.

Users highly recommend using Anaconda and RStudio for data transformation and analysis, as they believe these tools are the best in the industry for these tasks.

DSS is recommended over other tools for handling big data and sharing flows. Users suggest that it provides better functionality and performance compared to its competitors.

To gain a better understanding of all the components of the data, users suggest getting certification and using a data catalog. This helps users navigate and comprehend complex datasets more effectively.

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