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Data Preparation With Dataiku

Connect, cleanse, and prepare data 10x faster with Dataiku. From data preparation, effortlessly transition to anything from basic analysis, to modeling, and even deployment — all within a single environment.

Understand Projects
at a Glance

Get a visual representation of your data pipelines with the Dataiku Flow. It is the central space for coders and non-coders alike to view and analyze data, join and transform data, and even build predictive models, work with GenAI, and more.

The Dataiku Flow creates governance, recording every step of the data pipeline so you can explain transformations to stakeholders with confidence. Automatic versioning and a timeline of recent actions make it simple to review or revert specific changes.

Explore Top Data Preparation Features in Dataiku
project collaboration in dataiku
Connecting to data sources in Dataiku with Dataiku logo in the middle

Connect to Leading
Data Sources for
Faster Insights

Dataiku pre-built connectors to dozens of on-premises and cloud data sources — like Amazon S3, Azure Blob Storage, Databricks Lakehouse, Google Cloud Storage, Snowflake, and much more — bring all your data together effortlessly.

By centralizing access to data of any size or format, Dataiku streamlines workflows, eliminates data silos, and accelerates time to value for your analytics and AI projects.

Check out supported data connections
Toyota_logo
We are building a strategy where we want to bring all the data to a central place. Dataiku definitely provides a platform where I can experiment things that I’ve not been able to do so far. It really helps me develop my core skills.

Nidhi Chavan

Engineer, Data Scientist, Toyota Motor Manufacturing UK
aviva logo
The most beneficial thing about Dataiku is having everything in one place…

Ayca Kandur

Data Scientist at Aviva

Save Time With GenAI-Powered Data Preparation

With GenAI powered assistants , simply describe data preparation steps, and Dataiku executes! Prompts become either documented data preparation steps or visual recipes, which means the results are easy for everyone to review (no black box).

For data scientists that want to accelerate tasks, or analysts breaking into the world of code, Dataiku also offers Generative-AI powered code assistants to generate and explain code in VS Code and Jupyter Notebooks.

Learn More About AI Assistants With Dataiku
GenAI-powered data prep in Dataiku
visual recipes and code recipes in Dataiku

Unite Coders & Non-Coders in Data Prep

Dataiku makes it simple for business and technical users to collaborate seamlessly from a single platform.

Want to work code free? Join, clean, transform, and enrich data — all with just a few clicks in Dataiku.

Prefer coding? Use Python, R, or SQL in your favorite IDE. Whether code-first or code-free, every data preparation step is automatically documented within the Dataiku Flow for full transparency and governance.

Explore Recipes in Dataiku

Modify Data Faster
With 100+ Built-in Transformers

The powerful prepare recipe includes 100 built-in data transformers for common data manipulations like binning, concatenation and strings manipulation, currency and date conversions, geo-enrichment, and reshaping.

When it comes to transforming raw data, Dataiku even suggests relevant functions for you based on the data’s type and values, taking the time-consuming work out of data preparation.

For custom transformations, write formulas using a spreadsheet-like expression language or Python code for ultimate flexibility. Reduce errors and rework by applying transformations to a data sample before applying them to your entire dataset.

Explore Data Preparation Hidden Gems in Dataiku
built-in transformers in Dataiku
Generative AI for data prep in Dataiku

Apply GenAI Techniques With Ease

With Dataiku, anyone can infuse the power of GenAI into existing use cases, leveraging large language models (LLMs) directly into data preparation and analysis.

Visual, no-code recipes run on your preferred Generative AI services and enable common NLP tasks like entity extraction, sentiment analysis, text summarization, and classification — making it effortless to build GenAI-powered projects that drive real business impact.

Learn More about Generative AI in Dataiku

Make Advanced Techniques Accessible

Dataiku offers a wide variety of functions and tools to parse and enrich specialized data types such as geospatial data, time series, images, and text with additional metadata and structure.

Examples include geo joins and geocoding, time series resampling, text vectorization, a managed framework for image and text annotation, and much more.

Advanced techniques with specialized data prep in Dataiku
data observability screenshots in Dataiku

Embedded Governance and Control for Better Trust in Data

Whether you want to check data quality rules or understand the impact of transformations with data lineage, robust features in Dataiku mean that you have control over and trust in your data.

Additional built-in features — from the data catalog which contains trusted datasets to the visual cues available to show missing values or suspected issues — allow you to investigate in the moment.

Explore Data Quality in Dataiku

Unify Teams From Data Prep to Deployment

From building machine learning (ML) models to deploying applications, Dataiku offers a complete solution for everything that comes after data prep, too.

Unite everyone in a central platform so that you don’t miss a beat when your data project moves into the next step of the process. Give teams full visibility of what’s occurred to data and get everyone on the same page.

Do Machine Learning in Dataiku, Too
Unite everyone in Dataiku with data prep

Streamlining Analytics & AI Across the Organization

Novartis moved from repetitive manual calculations in Excel to informed decision-making grounded in accurate and real-time data. See how Novartis achieved a 600% reduction in data ingestion time with Dataiku.

READ NOVARTIS’ STORY

Building a Sustainable Data Practice

“On the analyst side, Dataiku brings simplicity. Once you understand how to import a table and put it in a flow, you’re not limited by technical or connection problems. But even for tech profiles like statisticians or data scientists, Dataiku has made that work easier.”

READ ORANGE’S STORY

Enabling Trusted Data Access With Dataiku & Databricks

With Dataiku and Databricks, [EGA was] able to easily get visibility into what data they have, where it lives, what it means, and democratize the use of that data to people within the business.

READ EGA’S STORY

Democratizing & Accelerating Data & AI Projects

Post-campaign analysis (PCA) was previously challenging because data was scattered and analysis was ad-hoc, taking so much time and resources that the team couldn’t actually use this method to evaluate all marketing campaigns. With Dataiku, the Air Canada team can now spin up 12 PCAs in 3.5 hours.

READ AIR CANADA’S STORY

novartis company logo

Streamlining Analytics & AI Across the Organization

Novartis moved from repetitive manual calculations in Excel to informed decision-making grounded in accurate and real-time data. See how Novartis achieved a 600% reduction in data ingestion time with Dataiku.

READ NOVARTIS’ STORY

Orange logo

Building a Sustainable Data Practice

“On the analyst side, Dataiku brings simplicity. Once you understand how to import a table and put it in a flow, you’re not limited by technical or connection problems. But even for tech profiles like statisticians or data scientists, Dataiku has made that work easier.”

READ ORANGE’S STORY

ega logo

Enabling Trusted Data Access With Dataiku & Databricks

With Dataiku and Databricks, [EGA was] able to easily get visibility into what data they have, where it lives, what it means, and democratize the use of that data to people within the business.

READ EGA’S STORY

air canada logo

Democratizing & Accelerating Data & AI Projects

Post-campaign analysis (PCA) was previously challenging because data was scattered and analysis was ad-hoc, taking so much time and resources that the team couldn’t actually use this method to evaluate all marketing campaigns. With Dataiku, the Air Canada team can now spin up 12 PCAs in 3.5 hours.

READ AIR CANADA’S STORY

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