---
description: Learn more about Dataiku price, benefits, and disadvantages for businesses in Australia. Read reviews from verified users and discover similar tools that fit your business needs.
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title: Dataiku Cost & Reviews - Capterra Australia 2026
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Breadcrumb: [Home](/) > [Artificial Intelligence (AI) Software](/directory/30938/artificial-intelligence/software) > [Dataiku](/software/142192/data-science-studio-dss)

# Dataiku

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> Dataiku connects people, technologies and processes to pave a fast, stable and sustainable path to enterprise AI.
> 
> Verdict: Rated **4.6/5** by 13 users. Top-rated for **Likelihood to recommend**.

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## Overview

### Who Uses Dataiku?

DSS is for all companies, whatever their expertise, industry or size, that want to create their own data-driven strategic advantages by transforming their raw data into business impacting predictions.

## Quick Stats & Ratings

| Metric | Rating | Detail |
| **Overall** | **4.6/5** | 13 Reviews |
| Ease of Use | 4.5/5 | Based on overall reviews |
| Customer Support | 4.4/5 | Based on overall reviews |
| Value for Money | 4.3/5 | Based on overall reviews |
| Features | 4.5/5 | Based on overall reviews |
| Recommendation percentage | 90% | (9/10 Likelihood to recommend) |

## About the vendor

- **Company**: Dataiku
- **Location**: Paris France, France
- **Founded**: 2013

## Commercial Context

- **Starting Price**: USD 0.01
- **Pricing model**:  (Free version available) (Free Trial)
- **Pricing Details**: Contact Dataiku for pricing details.
- **Target Audience**: 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+
- **Deployment & Platforms**: Cloud, SaaS, Web-based, Mac (Desktop), Windows (Desktop)
- **Supported Languages**: English, French, German, Spanish
- **Available Countries**: Australia, Canada, France, Germany, Spain, United States

## Features

- Access Controls/Permissions
- Collaboration Tools
- Data Capture and Transfer
- Data Discovery
- Data Extraction
- Data Import/Export
- Data Visualization
- Deep Learning
- ML Algorithm Library
- Model Training
- Multiple Data Sources
- Natural Language Processing
- Predictive Analytics
- Predictive Modeling
- Process/Workflow Automation
- Reporting/Analytics
- Self-service Analytics
- Statistical Analysis
- Third-Party Integrations
- Workflow Management

## Support Options

- Email/Help Desk
- FAQs/Forum
- Knowledge Base
- Phone Support
- Chat

## Category

- [Artificial Intelligence (AI) Software](https://www.capterra.com.au/directory/30938/artificial-intelligence/software)

## Related Categories

- [Artificial Intelligence (AI) Software](https://www.capterra.com.au/directory/30938/artificial-intelligence/software)
- [Data Analysis Software](https://www.capterra.com.au/directory/31077/data-analysis/software)
- [Machine Learning Software](https://www.capterra.com.au/directory/31103/machine-learning/software)
- [Big Data Software](https://www.capterra.com.au/directory/30851/big-data/software)
- [Data Governance Software](https://www.capterra.com.au/directory/30854/data-governance/software)

## Alternatives

1. [Microsoft Power BI](https://www.capterra.com.au/software/176586/power-bi) — 4.6/5 (1870 reviews)
2. [MATLAB](https://www.capterra.com.au/software/125813/matlab) — 4.6/5 (2090 reviews)
3. [Tableau](https://www.capterra.com.au/software/77260/tableau) — 4.6/5 (2348 reviews)
4. [SAP Analytics Cloud](https://www.capterra.com.au/software/163200/sap-analytics-cloud) — 4.4/5 (119 reviews)
5. [Rayven](https://www.capterra.com.au/software/173908/rayven-industrial-business-intelligence) — 5.0/5 (24 reviews)

## Reviews

### "best for non-technical users to view result of coding" — 4.0/5

> **Terry** | *8 May 2025* | Mining & Metals | Recommendation rating: 8.0/10
> 
> **Pros**: allow both technical users and non technical users to edit the data with code or simply excel style
> 
> **Cons**: the user interface to add pipelines are a but clunky, it is very easy to create a fat finger error

-----

### "Review for Dataiku platform" — 5.0/5

> **Grishma** | *15 March 2024* | Chemicals | Recommendation rating: 10.0/10
> 
> **Pros**: The flow in the Dataiku describes the process flow of the project easily. Scenarios and triggers are there for the automation process. Modeling is easier and shows the validations along with the results. Basic Visualizations can also be done in Dataiku.
> 
> **Cons**: Sometimes it has complexity in creating web applications and to integrate with other tools.
> 
> Overall experience is great because it is a good platform for Data Scientists, Data Analysts and Researchers. It has ML and AI functionalities.

-----

### "Great Product for Data Science Enablement" — 4.0/5

> **Verified Reviewer** | *30 April 2022* | Management Consulting | Recommendation rating: 7.0/10
> 
> **Pros**: The ease of onboarding people onto the platfrom is seemless. In addition, Dataiku provides their own modules that help in getting accustomed to the product. The width of options that you get for analysis is also vast and might be a one stop solution for all data science needs
> 
> **Cons**: The least enjoyable expereince of this product has to be the outages that become frequent with each version revision.
> 
> The breadth of choices that one gets with the product is esstial for anyone transioning to get more data science enablement. This platform is great to have a streamlined and operational portfolio of all your data requirements. There are outages that might occur once in a while but the quick turnaround time ensures that work is not compromised

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### "DataIku is making life easier" — 5.0/5

> **Jaimy** | *14 February 2023* | Marketing & Advertising | Recommendation rating: 8.0/10
> 
> **Pros**: Truly makes your life and the one of your team easier\! The biggest plus to this program is how over-viewable and de-cluttered. Biggest problem I used to face is having files all over the place, and reports all over the place. Now they can be made more quickly than ever before.
> 
> **Cons**: Personally, the amount of options can be overwhelming. Luckily, Dataiku does offer learning videos on how to use the platform, which I would highly recommend everyone to watch before diving into this platform. However, as mentioned before, it is easy to get lost in the amount of options there are available.

-----

### "Dataiku - Future of Data Science Platform" — 5.0/5

> **Vivek** | *5 October 2021* | Information Technology & Services | Recommendation rating: 10.0/10
> 
> **Pros**: time saving, useful for both coders and non-coders, allows for multi-user collaboration and monitoring, creating flowcharts help in maintaining granularity
> 
> **Cons**: It is in the early phase of its launch, 8 years old precisely. Hence, the customer support is not as widespread as other customer supports like stackoverflow, etc.
> 
> Whether the project requires data accumulation, or preprocessing, or data manipulation, or extracting business insights from data, Dataiku is the go-to platform. It covers end-to-end project execution and deployment along with providing API support.

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## Links

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