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description: Learn how Dataiku can help your business. GetApp provides users in South Africa with the most detailed information on software tools, prices and features.
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title: Dataiku Reviews, Prices & Ratings | GetApp South Africa 2026
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# Dataiku

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> Cloud, on-premises, and multi-cloud enterprise AI platform for data prep, AutoML, LLM orchestration, and governed model deployment.
> 
> Verdict: Rated **4.6/5** by 13 users. Top-rated for **Likelihood to recommend**.

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## Overview

### Key benefits of Dataiku

\* Covers the full AI project lifecycle — data preparation, model development, deployment, and monitoring — within a single platform, reducing tool sprawl and context switching across teams.&#10;\* Supports AutoML and custom model development in parallel, allowing data scientists to work in code while analysts use visual, low-code interfaces on shared projects.&#10;\* LLM orchestration and generative AI tooling enable enterprise teams to build, test, and govern AI agent workflows without leaving the core platform environment.&#10;\* Built-in model monitoring and explainability tools provide ongoing visibility into production model behavior, supporting performance tracking and risk management after deployment.&#10;\* Role-based workspaces and collaboration features connect data scientists, analysts, and business stakeholders on the same pipelines, reducing handoff delays and improving cross-functional alignment.&#10;\* Centralized governance controls, including audit trails, access management, and model risk workflows, help organizations scale AI programs while maintaining regulatory compliance.&#10;\* Flexible deployment across cloud, on-premises, and multi-cloud environments allows enterprises to adopt the platform within existing infrastructure constraints and data residency requirements.&#10;\* Broad integration support for cloud providers, data warehouses, MLOps tools, and BI platforms allows the platform to connect with established enterprise data stacks.&#10;\* Reusable project templates, shared feature stores, and centralized asset libraries accelerate AI development cycles by reducing duplicated effort across business units.

## 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, US
- **Founded**: 2013

## Commercial Context

- **Starting Price**: US$0,01
- **Pricing model**:  (Free version available) (Free Trial)
- **Pricing Details**: Contact Dataiku for pricing details.
- **Target Audience**: Self Employed, 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, Japanese, Korean, Spanish
- **Available Countries**: Australia, France, Germany, Japan, Netherlands, Singapore, South Korea, United Arab Emirates, United Kingdom, United States

## Features

- API
- Access Controls/Permissions
- Activity Tracking
- Collaboration Tools
- Configurable Workflow
- Data Capture and Transfer
- Data Discovery
- Data Extraction
- Data Import/Export
- Data Management
- Data Preparation
- Data Storage Management
- Data Visualization
- Database Support
- Deep Learning
- For Healthcare
- For Sales Teams/Organizations
- For eCommerce
- ML Algorithm Library
- Machine Learning

## Integrations (18 total)

- AWS Bedrock
- Alation
- Alteryx Designer Cloud
- Amazon S3 Glacier
- Anthropic SDK
- Azure Blob Storage
- BigQuery
- Databricks
- Google Vertex AI SDK
- Hopem Property Management Software
- MySQL
- OpenAI SDK
- PostgreSQL
- Python
- Snowflake

... and 3 more integrations

## Support Options

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

## Category

- [Data Analysis Software](https://www.getapp.za.com/directory/1129/data-analysis/software)

## Related Categories

- [Data Analysis Software](https://www.getapp.za.com/directory/1129/data-analysis/software)
- [Machine Learning Software](https://www.getapp.za.com/directory/1399/machine-learning/software)
- [Data Mining Tools](https://www.getapp.za.com/directory/364/data-mining/software)
- [Big Data Software](https://www.getapp.za.com/directory/603/big-data/software)
- [Predictive Analytics Software](https://www.getapp.za.com/directory/628/predictive-analytics/software)

## Alternatives

1. [Minitab](https://www.getapp.za.com/software/125155/minitab-statistical-software) — 4.5/5 (391 reviews)
2. [Microsoft Power BI](https://www.getapp.za.com/software/102847/power-bi) — 4.6/5 (1891 reviews)
3. [Google Analytics 360](https://www.getapp.za.com/software/90997/google-analytics) — 4.7/5 (8101 reviews)
4. [Tableau](https://www.getapp.za.com/software/90797/tableau-software) — 4.6/5 (2360 reviews)
5. [wetracked.io](https://www.getapp.za.com/software/2080874/wetracked-io) — 5.0/5 (208 reviews)

## Reviews

### "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.

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

> **Terry** | *08 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

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### "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

-----

### "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.

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

> **Vivek** | *05 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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