Pricing score

Dataiku Pricing Profile

Dataiku is the platform for Everyday AI, enabling data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI.

HQ Location

New York City, USA

Category:

Key Takeaways

Collaborative Data Science Environment

Dataiku fosters collaboration among team members by providing a shared workspace for data scientists, engineers, business analysts, and domain experts. Users can work together on data projects, sharing notebooks, models, and visualizations in real time.

Data Preparation and Cleaning

Dataiku provides an intuitive, code-free interface for data wrangling, allowing users to clean, join, and transform data easily. It supports a wide range of data formats, including structured (CSV, Excel, SQL), semi-structured (JSON, XML), and unstructured data (text, images).

Model Deployment and Monitoring

Dataiku facilitates the deployment of machine learning models to production, making it easy to operationalize AI workflows. It offers tools for model monitoring and drift detection, helping teams ensure that models continue to perform well over time as new data comes in.

Product Overview

Dataiku is an advanced data science and machine learning platform designed to help organizations turn raw data into actionable insights. It provides a collaborative environment for data scientists, data engineers, and business analysts to work together on end-to-end data projects.

Dataiku offers a comprehensive set of tools that cover the entire data science lifecycle, from data preparation and model building to deployment and monitoring, making it an ideal platform for organizations aiming to scale their AI and data-driven initiatives.

INSIGHTS

Our insights about Dataiku pricing

Demo available

Pricing can be high for small projects

Custom quotes

Available Pricing Models

How much does Dataiku cost?

Dataiku does not publicly disclose its pricing on its website, as costs can vary based on factors like company size, the products selected, and specific requirements. For the most accurate and personalized pricing information, it’s best to contact Dataiku directly through their website or speak with a sales representative.

What users say about Dataiku pricing

Akhilesh D.

Pricing can be high for students and small projects.

Shreneel K.

It's a platform that has all the functionalities that are needed by a developer on an everyday basis. Its so easy to use and integrate that the implementation can be done within a short amount of time. It has an excellent customer support that I would definitely use it frequently.

David H.

Great for building and refining project management documents and data analysis in consulting work to help business grow.

Dave S.

The ability to automate repetitive tasks like model deployment and report generation is a game-changer. Dataiku frees up data scientists to focus on higher-level analysis and innovation, which is what I find most valuable.

Sumani P.

Useful to process numerical, text, vector features. It has great data handling. Helpful in building machine learning models.

Akhilesh D.

Pricing can be high for students and small projects.

Dave S.

Shreneel K.

Sumani P.

Useful to process numerical, text, vector features. It has great data handling. Helpful in building machine learning models.

David H.

Great for building and refining project management documents and data analysis in consulting work to help business grow.

Dataiku Pricing Rating

Analytics and Machine Learning: 4.8/5

Dataiku supports a broad spectrum of machine learning and AI techniques, from traditional algorithms to deep learning models. It provides both code-free and code-first environments, allowing users to either work through visual interfaces or write custom code in Python, R, or SQL. Dataiku includes an automated machine learning (AutoML) feature that helps accelerate model building by automatically selecting the best algorithms and tuning hyperparameters.

Data Integration: 4.7/5

Dataiku integrates with a wide variety of data sources, including databases (SQL, NoSQL), cloud storage (AWS S3, Google Cloud Storage, Azure Blob Storage), data lakes, and big data technologies like Apache Spark, Hadoop, and Kafka.

Automation: 4.9/5

Dataiku allows for the automation of repetitive tasks and workflows. Users can schedule data pipelines, set up triggers for model retraining, and automate data collection processes. It supports DataOps practices, enabling organizations to build and deploy data pipelines in a consistent, automated, and reproducible manner.

FAQ on Dataiku Pricing

Who can use Dataiku?

Dataiku is used by a broad range of professionals, including:

- Data Scientists: For building and deploying machine learning models using both code-first and visual tools.
- Data Engineers: For integrating, processing, and managing data pipelines.
- Business Analysts: For exploring and analyzing data, building dashboards, and generating insights with little to no coding.
- Business Users: To access insights and collaborate with data teams in real-time.

What is AutoML in Dataiku?

AutoML in Dataiku is a feature that automates the process of building machine learning models. It automatically selects the best algorithms, tunes hyperparameters, and optimizes the model based on the data. This allows users to quickly generate predictive models without requiring deep expertise in machine learning.

Does Dataiku support big data?

Yes, Dataiku supports big data technologies like Apache Hadoop, Apache Spark, and Google BigQuery, enabling users to process and analyze large-scale datasets. It integrates seamlessly with these platforms, making it suitable for organizations working with big data environments.

How does Dataiku support collaboration?

Dataiku provides a collaborative workspace where teams can share data, models, code, and insights in real-time. It includes features like version control, project sharing, and a common environment for data scientists, engineers, and business analysts. This makes it easier for different roles to work together on data science and AI projects.