Dataiku DSS Reviews

8 Ratings
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Score 7.2 out of 100

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Reviews (1-2 of 2)

Anonymous | TrustRadius Reviewer
July 01, 2020

Low-Code Open-Source Data Analytics Platform!

Score 8 out of 10
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Verified User
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Platform is currently being used solely by our department due to licensing cost and budget reasons.

Platform offers a one stop shop for an (almost) end to end development of data analytics and machine learning products, including data import, manipulation, and visualization. It’s a low-code tool, and supports majority of workflow without the need for in-depth coding skills; this is a plus for exposing platform across a wider audience and use cases.
  • Low-code platform.
  • Open source version includes most valuable modules.
  • User friendly documentation.
  • End product deployment.
For team(s) with varying levels of coding skills, the platform offers a one size fit all for most data analytics and machine learning projects that are of practical use in industrial settings (e.g. time series forecasting, predictive maintenance and production optimization). In research and development work, where projects are cutting edge and no out of the box solutions are available, then platform is of minimal use, since custom data ingestion and manipulation may be required.
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Anonymous | TrustRadius Reviewer
June 30, 2020

Dataiku - a complete Data Analytic and AI/ML solution

Score 7 out of 10
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Verified User
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Dataiku is being used as the integrated data analytic/AI/ML platform. It is a corporate-level standard solution, across multiple regions and business domains. The data scientists use this platform to develop various data pipelines, and/or train the AI/ML models, verify the model performances and eventually deploy the model as service to benefit business critical IT applications (majorly serve the predictive analysis/automation and integration with RPA).
  • 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.
Dataiku is suitable for many steps of data processing pipeline development (from data collecting, filtering till cleaning, transformation and enhancement), and it is also good for the user who doesn't have too much in-depth AI/ML knowledge to quickly jump into it and give a try to solve some real-world problem.
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Feature Scorecard Summary

Connect to Multiple Data Sources (2)
Extend Existing Data Sources (2)
Automatic Data Format Detection (2)
MDM Integration (2)
Visualization (2)
Interactive Data Analysis (2)
Interactive Data Cleaning and Enrichment (2)
Data Transformations (2)
Data Encryption (2)
Built-in Processors (2)
Multiple Model Development Languages and Tools (2)
Automated Machine Learning (2)
Single platform for multiple model development (2)
Self-Service Model Delivery (2)
Flexible Model Publishing Options (2)
Security, Governance, and Cost Controls (2)

About 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

Operating Systems: Unspecified
Mobile Application:No