Dataiku DSS

Self service analytics and machine learning tool

4,7 /5 (3 reviews) Write a Review!

Dataiku DSS Overview

What is Dataiku DSS?

Dataiku DSS is a data platform designed to help businesses of all sizes utilize artificial intelligence and machine learning technologies to prepare, visualize, monitor, and deploy data sets. Designed for analytics leaders, data scientists, IT engineers, and business analysts, it allows users to automatically detect, connect, and unify all data sources on a centralized platform.

Key features of Dataiku DSS include data exploration, data preparation, model deployment, knowledge sharing, and change management. It enables users to gain insight into datasets through univariate and multivariate statistics, create custom visualizations using a drag-and-drop interface, and share reports with all stakeholders. Plus, it provides a built-in orchestration tool, which lets analysts manage tasks, trigger policies, automate workflows, and more.

Dataiku DSS can either be deployed on-premise or hosted in the cloud. It comes with an application programming interface (API), which allows businesses to modify the system and integrate it with several data storage systems. Users can maintain a catalog of data tasks and organize them in identified projects, allowing team members to quickly access specific information using the search functionality.

Dataiku DSS Overview

Pricing

Starting from
N/A

Pricing options

Free Trial
Subscription

Contact Dataiku for pricing details.


Dataiku DSS Features

Devices
Business size
S M L
Markets
United States, Canada, Australia, Germany
Supported Languages
English

Media

Dataiku DSS flow
Dataiku DSS collaboration
Dataiku DSS projects homepage
Dataiku DSS dashboards
Dataiku DSS webapp
Dataiku DSS video Dataiku DSS screenshot: Dataiku DSS flow Dataiku DSS screenshot: Dataiku DSS collaboration Dataiku DSS screenshot: Dataiku DSS projects homepage Dataiku DSS screenshot: Dataiku DSS dashboards Dataiku DSS screenshot: Dataiku DSS webapp

Dataiku DSS Reviews

Dataiku DSS Reviews

Overall rating
4,7
/
5
Excellent
2

Very good
1

Average
0

Poor
0

Terrible
0

Value for Money
0
Features
4
Ease of Use
5
Customer Support
4
100% recommended this app
Sana kanwar M.

Data science friendly


Hugo L.

Excellent software for data and business teams collaboration in building data science...

Easier way for data and business teams collaboration aiming to build data science applications


Vincent D.

Making Kaggle Submissions with DSS

As a non - data scientist, i was curious to see how DSS could help me with the data preparation (cleaning and combining data), feature engineering and predictive modelling phases of a data analysis project

My goal was to make 2 submissions on Kaggle challenges in under 1 hour and without 1 line of code using the Data Science Studio (Titanic and Otto Product Classification datasets).

First, I was really impressed with the overall ease of use and ergonomy of the studio. Building "recipes" for data preparation mostly uses visual processors and the operations are visible directly on a sample of the data, facilitating validation of preparation steps.
In a train / test scenario, i especially enjoyed being able to replicate my recipes on both datasets very easily.
I used the Data Visualization tool to build a few exploratory charts, which can be done quite easily, though it is not as powerful as specialized tools (namely Tableau or Qlik).

For the machine learning part, I restricted myself to visual machine learning in the studio, which already packs the most common algorithms (random forest, logistic, svm, gradient-boosting...). I found the ability to benchmark and compare algorithms performance quickly a great time saver, allowing me to reach a first score in under half an hour on each dataset.

Once I chose the best model, I only needed a few clicks to use the model to prepare and score the Test Dataset and make my submissions. Both times I was in the lower half of the rankings but above Kaggle algorithmic benchmarks.

For "real" Data Scientists and engineers, the Studio allows them to go much further by building recipes and models in R, Python, SQL, Hive, Pig etc...but even as a business analyst, I felt empowered by the software that enabled me to prepare, analyse and build simple predictive models with my data.


Sana kanwar M.
Industry: Education Management
Company size: 1 001-5 000 Employees

Data science friendly

Used Daily for 1-5 months
Reviewed on 2018/12/26
Review Source: Capterra

Pros

It helps me explore various anaylitical domains. Makes life easy and provides accurate results

Cons

Not much resources to learn from about the software

Rating breakdown

Ease of Use
Customer Support

Likelihood to recommend: 8.0/10

Hugo L.

Excellent software for data and business teams collaboration in building data science applications

Reviewed on 2015/11/21
Review Source: Capterra

Easier way for data and business teams collaboration aiming to build data science applications

Rating breakdown

Ease of Use
Customer Support

Vincent D.

Making Kaggle Submissions with DSS

Reviewed on 2015/04/27
Review Source: Capterra

As a non - data scientist, i was curious to see how DSS could help me with the data preparation (cleaning and combining data), feature engineering and predictive modelling phases of a data analysis project

My goal was to make 2 submissions on Kaggle challenges in under 1 hour and without 1 line of code using the Data Science Studio (Titanic and Otto Product Classification datasets).

First, I was really impressed with the overall ease of use and ergonomy of the studio. Building "recipes" for data preparation mostly uses visual processors and the operations are visible directly on a sample of the data, facilitating validation of preparation steps.
In a train / test scenario, i especially enjoyed being able to replicate my recipes on both datasets very easily.
I used the Data Visualization tool to build a few exploratory charts, which can be done quite easily, though it is not as powerful as specialized tools (namely Tableau or Qlik).

For the machine learning part, I restricted myself to visual machine learning in the studio, which already packs the most common algorithms (random forest, logistic, svm, gradient-boosting...). I found the ability to benchmark and compare algorithms performance quickly a great time saver, allowing me to reach a first score in under half an hour on each dataset.

Once I chose the best model, I only needed a few clicks to use the model to prepare and score the Test Dataset and make my submissions. Both times I was in the lower half of the rankings but above Kaggle algorithmic benchmarks.

For "real" Data Scientists and engineers, the Studio allows them to go much further by building recipes and models in R, Python, SQL, Hive, Pig etc...but even as a business analyst, I felt empowered by the software that enabled me to prepare, analyse and build simple predictive models with my data.

Rating breakdown

Ease of Use
Customer Support

User recommendation
8/10
Based on 3 user ratings
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Dataiku DSS Pricing

Dataiku DSS Pricing

Starting from
N/A
Free Trial
Subscription

Contact Dataiku for pricing details.

Contact Dataiku for pricing details.

Value for Money
0/5
Based on 3 user ratings
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Dataiku DSS Features

Dataiku DSS Features

API
Activity Dashboard
Analytics
Collaboration Tools
Data Capture and Transfer
Data Extraction
Data Filtering
Data Import
Data Import/Export
Data Visualization
Drag & Drop Interface
Monitoring
Multi-Language
Predictive Analytics
Real Time Data
Real Time Monitoring
Reporting & Statistics
Sentiment Analysis
Third Party Integration
Workflow Management
Features
4/5
Based on 3 user ratings
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Categories

Additional information for Dataiku DSS

Additional information for Dataiku DSS

Key features of Dataiku DSS

  • Collaboration Tools
  • Dashboard
  • Data Visualization
  • Dynamic Analysis
  • Graphical User Interface
  • Predictive Analytics
  • Predictive Modeling
  • Regression Analysis
  • Scheduling
  • Sentiment Analysis
  • Software Metrics
  • Static Analysis
  • Systems Integration
  • Visualization

Dataiku DSS FAQs

Dataiku DSS FAQs

Below are some frequently asked questions for Dataiku DSS.

Q. What type of pricing plans does Dataiku DSS offer?

Dataiku DSS offers the following pricing plans:

Pricing model: Subscription

Free Trial: Available

Contact Dataiku for pricing details.

Q. What are the main features of Dataiku DSS?

Dataiku DSS offers the following features:

  • Collaboration Tools
  • Dashboard
  • Data Visualization
  • Dynamic Analysis
  • Graphical User Interface
  • Predictive Analytics
  • Predictive Modeling
  • Regression Analysis
  • Scheduling
  • Sentiment Analysis
  • Software Metrics
  • Static Analysis
  • Systems Integration
  • Visualization

Q. Who are the typical users of Dataiku DSS?

Dataiku DSS has the following typical customers:

Small Business, Large Enterprises, Mid Size Business

Q. What languages does Dataiku DSS support?

Dataiku DSS supports the following languages:

English

Q. What type of pricing plans does Dataiku DSS offer?

Dataiku DSS has the following pricing plans:

Subscription

Q. Does Dataiku DSS support mobile devices?

We do not have any information about what devices Dataiku DSS supports

Q. What other apps does Dataiku DSS integrate with?

We do not have any information about what integrations Dataiku DSS has

Q. What level of support does Dataiku DSS offer?

Dataiku DSS offers the following support options:

Phone Support, Online Support, Forum, Knowledge Base