Dataiku DSS - One-Stop Solution for All Data Science Applications
November 09, 2021

Dataiku DSS - One-Stop Solution for All Data Science Applications

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Dataiku DSS

Dataiku DSS is being used in my team to perform various tasks which ranges from data preprocessing to machine learning model creation. It provides a one-stop solution to fetch data from different sources such as Amazon S3, SQL Server databases, etc. and merge them onto a single platform. We use Dataiku DSS to perform data imputations, data cleaning and feature engineering to prepare datasets for creating machine learning models. We also extract business insights (data analytics) using various statistical methods and visual representations such as scatter plots, histograms, boxplots, etc. Furthermore, optimized ML models are created which are used to predict/forecast target variables and drive business decisions.

Pros

  • 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

Cons

  • Its community support is very limited at the moment
  • Complex to integrate with automation tools such as Blue Prism
  • Very friendly interface for users
  • All data analytics services provided on a single platform
  • Keeps track of all models created and every actions performed on a dataset
  • Customer satisfaction
  • Timely project delivery
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.

Do you think Dataiku delivers good value for the price?

Yes

Are you happy with Dataiku's feature set?

Yes

Did Dataiku live up to sales and marketing promises?

Yes

Did implementation of Dataiku go as expected?

Yes

Would you buy Dataiku again?

Yes

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.

Dataiku Feature Ratings

10.0
Connect to Multiple Data Sources
10
Extend Existing Data Sources
10
Automatic Data Format Detection
10
MDM Integration
Not Rated
10.0
Visualization
10
Interactive Data Analysis
10
10.0
Interactive Data Cleaning and Enrichment
10
Data Transformations
10
Data Encryption
10
Built-in Processors
10
8.8
Multiple Model Development Languages and Tools
5
Automated Machine Learning
10
Single platform for multiple model development
10
Self-Service Model Delivery
10
9.0
Flexible Model Publishing Options
9
Security, Governance, and Cost Controls
9

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