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description: Get detailed information about Dataiku usability, features, price, benefits and disadvantages from verified user experiences. Read reviews and discover similar tools on Capterra Israel.
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title: Dataiku Price, Reviews & Ratings - Capterra Israel 2026
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# Dataiku

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> Cloud-based and on-premises enterprise AI platform for managing analytics, machine learning, and AI agents across the full project.
> 
> Verdict: Rated **4.6/5** by 13 users. Top-rated for **Likelihood to recommend**.

-----

## Overview

### Who Uses Dataiku?

Large enterprises in banking, financial services, retail, healthcare, life sciences, manufacturing, and insurance.

## Quick Stats & Ratings

| Metric | Rating | Detail |
| **Overall** | **4.6/5** | 13 Reviews |
| Ease of Use | 4.5/5 | Based on overall reviews |
| Customer Support Software | 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
- Collaboration Tools
- Data Capture and Transfer
- Data Discovery Software
- Data Extraction Software
- Data Import/Export
- Data Visualization Software
- Deep Learning Software
- ML Algorithm Library
- Model Training
- Multiple Data Sources
- Natural Language Processing
- Predictive Analytics Software
- Predictive Modeling
- Reporting/Analytics
- Self-service Analytics
- Sentiment Analysis
- Statistical Analysis Software
- Third-Party Integrations
- Workflow Automation
- Workflow Management Software

## 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 Software
- Chat

## Category

- [Data Analysis Software](https://www.capterra.co.il/directory/31077/data-analysis/software)

## Related Categories

- [Data Analysis Software](https://www.capterra.co.il/directory/31077/data-analysis/software)
- [Machine Learning Software](https://www.capterra.co.il/directory/31103/machine-learning/software)
- [Big Data Software](https://www.capterra.co.il/directory/30851/big-data/software)
- [Predictive Analytics Software](https://www.capterra.co.il/directory/30945/predictive-analytics/software)
- [Data Mining Software](https://www.capterra.co.il/directory/31083/data-mining/software)

## Alternatives

1. [Microsoft Power BI](https://www.capterra.co.il/software/176586/power-bi) — 4.6/5 (1893 reviews)
2. [MATLAB](https://www.capterra.co.il/software/125813/matlab) — 4.6/5 (2097 reviews)
3. [Tableau](https://www.capterra.co.il/software/77260/tableau) — 4.6/5 (2362 reviews)
4. [Rayven](https://www.capterra.co.il/software/173908/rayven-industrial-business-intelligence) — 5.0/5 (24 reviews)
5. [SAP Analytics Cloud](https://www.capterra.co.il/software/163200/sap-analytics-cloud) — 4.4/5 (120 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

-----

### "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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