Dataiku is a data science and machine learning platform that helps businesses build and deploy AI solutions. It offers tools for data preparation, visualization, machine learning, and model deployment, all in one place. Dataiku aims to make AI accessible to a wide range of users, from data experts to business users. It's used by companies of all sizes across various industries for applications like predictive maintenance, marketing optimization, and risk management. Dataiku is designed to help businesses scale their AI efforts and make data-driven decisions.
Dataiku is a user-friendly platform ideal for enterprise-level businesses in manufacturing and software. It excels at automating tasks and fostering collaboration, simplifying data analysis for both technical and business users. However, potential users should be aware of performance issues with large datasets and the potentially steep learning curve for advanced features.
Best fit for enterprise companies.
Ideal for Manufacturing and Software companies.
Dataiku features
Type in the name of the feature or in your own words tell us what you need
Supported
Dataiku supports plugins for extending functionality and integrating with other services.
Supported
Dataiku supports team collaboration with features like shared workspaces and version control.
Supported
Dataiku offers embedded governance features for data security, compliance, and accessibility.
Supported
Dataiku supports diverse data imports, including Excel, CSV, databases, and Hadoop. It also offers data preparation features like renaming, removing, and calculated columns.
Supported
Dataiku supports machine learning and can be customized for M&A matching.
Qualities
We evaluate the sentiment that users express about non-functional aspects of the
software
Value and Pricing Transparency
Strongly negative
-1
Ease of Use
Strongly positive
+0.82
Reliability and Performance
Neutral
-0.2
Ease of Implementation
Rather positive
+0.6
Dataiku reviews
We've summarised 60 Dataiku reviews (Dataiku Capterra reviews and Dataiku G2 reviews) and
summarised the main points below.
Pros of Dataiku
User-friendly interface simplifies data management and analysis.
Excellent collaboration features.
Effective for building and refining project management documents.
Automates repetitive tasks like model deployment and report generation.
Intuitive UI enables business users to interact with data and perform advanced analytics.
Cons of Dataiku
Sluggish performance with large datasets.
Limited data visualization capabilities.
High processing charges.
Steep learning curve for advanced features.
Resource intensive, requiring robust hardware.
Dataiku pricing
The commentary is based on 7 reviews from Dataiku G2 reviews.
Dataiku's pricing is generally considered high, especially for students and small organizations. While some reviewers find it expensive, others acknowledge its value despite the cost. The free version has limitations.
More suitable for enterprise-level businesses. Has stronger momentum in terms of website traffic and employee growth. Users appreciate its intuitive visual interface and automation but note its complexity and cost. A Dataiku competitor and alternative.
Better for users without coding skills seeking automated data tasks and insights. A strong Dataiku competitor for medium businesses, but has less momentum. More suitable for retail, consumer goods, healthcare, and automotive industries.
Better for small businesses needing a data warehouse. More focused on real-time analytics and built-in machine learning using SQL. Serverless, simplifying infrastructure management. However, it has higher and less predictable costs. BigQuery is a strong Dataiku competitor and alternative.
Grows faster and has more momentum. Better for enterprise customers needing cloud based solutions. More focused on visual analytics, reporting, and dashboards. Known for higher licensing costs and complex setup.
Dataiku is a data science and machine learning platform that allows businesses to build and deploy AI solutions. It offers tools for data preparation, visualization, and model deployment. Dataiku simplifies AI, making it accessible to both technical and non-technical users, enabling data-driven decisions.
How does Dataiku integrate with other tools?
How does Dataiku integrate with other tools?
Dataiku integrates with various tools and services through its plugin system. This allows for extended functionality and connections with other platforms, enhancing data management and analysis capabilities. It supports diverse data imports, including Excel, CSV, databases, and Hadoop.
What the main competitors of Dataiku?
What the main competitors of Dataiku?
Dataiku's main competitors include Alteryx, DataRobot, SAS Viya, Tableau, RapidCanvas, and IBM Cloud Pak for Data. These platforms offer similar data science, machine learning, and business intelligence capabilities, catering to various business sizes and user technical levels.
Is Dataiku legit?
Is Dataiku legit?
Dataiku is a legitimate and safe data science platform. User reviews highlight its user-friendly interface and collaboration features. However, potential users should be aware of reported performance issues with large datasets and the potentially steep learning curve for advanced features.
How much does Dataiku cost?
How much does Dataiku cost?
Dataiku does not publicly disclose pricing information. Contact their sales team for a customized quote based on your specific dataiku product needs.
Is Dataiku customer service good?
Is Dataiku customer service good?
Dataiku's customer support receives positive feedback, with users highlighting its excellence and helpfulness. While some users new to data science find the platform challenging, the generally positive reviews suggest that Dataiku provides good customer service.
Reviewed by
MK
Michal Kaczor
CEO at Gralio
Michal has worked at startups for many years and writes about topics relating to software selection and IT
management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs
of any business and find solutions to its problems.
TT
Tymon Terlikiewicz
CTO at Gralio
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech
department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX,
HR, Payroll, Marketing automation and various developer tools.