Pros from reviewers
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User-friendly interface: The software is designed with a user-friendly interface that makes it easy for both coders and non-coders to use. It also supports multi-user collaboration and monitoring, making it beneficial for teams
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Quick benchmarking and comparison of algorithm performance: The software includes the most common algorithms for machine learning and allows for quick benchmarking and comparison of their performance. This feature is particularly useful for predictive modeling
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Support for multiple languages and automation: Dataiku supports multiple languages and allows non-technical users to construct their own flows and infrastructure and automate processes. This makes it a versatile tool for managing data needs efficiently and effectively.
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Comprehensive project execution and deployment: Dataiku offers a complete platform for data collection, preprocessing, manipulation, and extracting business insights from data. It supports API and allows for efficient project execution and deployment, making it a perfect tool for any data-related project
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Visual processors for data preparation: Dataiku's Data Science Studio (DSS) allows for the creation of recipes for data preparation using visual processors. These operations are directly visible on a data sample, making it easier to validate preparation steps
Cons from reviewers
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Limited customer support: Despite its comprehensive features, Dataiku's customer support is not as extensive as other platforms like StackOverflow, which can be a disadvantage for users needing immediate assistance
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Frequent outages: Users have reported occasional outages with each version update, which can disrupt workflow and productivity
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Difficulty in connecting to new data sources: Some users find it challenging to connect to new data sources and make edits after creating a workflow, indicating a potential issue with flexibility and adaptability
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Limited visibility within flows: Despite the efficiency of automating data flows, there is limited visibility within the flows, which can make it difficult to track and manage data
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High cost: While Dataiku offers excellent value in making data analytics accessible, its high cost and data processing fees can be a deterrent for some businesses.
Main features
Starting Price
Free Plan
Advanced analytics
Easily wrangle and prepare data
Collaborate with your team
Multiple integrations
Intuitive user interface
Starting Price
N/A
Free Plan
No
Advanced analytics
Easily wrangle and prepare data
Collaborate with your team
Multiple integrations
Intuitive user interface
What is Dataiku?
How Dataiku compare to similar software?
Product
Price
N/A
Free plan
No
Main features
Pros
Cons
Alternatives
Deal
No available deal at the moment
Who is Dataiku best for according to our reviewers?
Data Scientists: Professionals who need a platform for data collection, preprocessing, manipulation, and extracting business insights. Dataiku offers comprehensive project execution and deployment, along with API support
Non-technical Users: Individuals without a background in data science who need a user-friendly platform for data preparation, feature engineering, and predictive modeling. Dataiku's visual processors and operations make it easy to validate preparation steps
SAS Programmers: Individuals looking to simplify SAS programming. Dataiku is effective and highly accurate for repetitive tasks, though connecting to a new data source and making edits after creating a workflow can be challenging
Beginners in Data Analysis: Users new to predictive data analysis. Dataiku's user-friendly graphical interface and thorough online tutorials make it easy for beginners to use the tool, despite occasional difficulties in finding help for specific issues.
Business Analysts: Users who need to manage data needs efficiently and effectively. Dataiku offers a wide range of analysis options and swift recovery times during outages
Dataiku Reviews
4.7
Dataiku rating
5.0
Ease of use
4.5
Customer service
4.5
Value for money
4.3
Likelihood to recommend
4.5
Features
13 Dataiku Reviews
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Nicholas Martinez
Dataiku: A Powerful and User-Friendly Solution for Enhanced Data Work
Overall, I highly recommend Dataiku for any data-related tasks or projects. It's a robust, efficient, and user-friendly software that has significantly enhanced my work.
July 1, 2024
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Diane F
Dataiku: A Data Scientist's Best Friend
It helps me explore different analytical areas, makes my job easier, and provides precise results. However, there aren't many resources to learn about the software.
June 24, 2024
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Jean Williams
Seamless Integration: Dataiku's Excellent Capabilities Simplify Work
The integration capabilities of Dataiku are excellent. It seamlessly connects with various data sources, making my work much easier
June 17, 2024
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Linnea
DataIku: Streamlining Work and Enhancing Efficiency
Dataiku really makes my life and my team's life easier! The best part of this software is its clean and organized interface. I used to have trouble with scattered files and reports, but now they can be made quicker than ever. Personally, I find the many options a bit overwhelming. Luckily, Dataiku offers tutorial videos on how to use the platform, which I highly recommend everyone to watch before starting. However, it's still easy to get lost among the many options available.
June 10, 2024
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Lisa C
Versatile Dataiku: A Complete Solution for Data Analysis
I appreciate the versatility of Dataiku. Whether I'm cleaning data, creating visualizations, or building machine learning models, this software has the tools I need
June 2, 2024
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Debra Johnson
Collaborative Dataiku Boosts Team Productivity
The collaborative nature of Dataiku is impressive. It allows my team and I to work on projects simultaneously, increasing our overall output
May 28, 2024
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Alexis B
Superb Tool for Machine Learning Mastery
Overall, I find the software, Dataiku, to be effective and highly accurate for repetitive tasks. However, I find it challenging to connect to a new data source and make edits after creating a workflow. The automation of data flows is straightforward and efficient, but there is limited visibility within the flows. The software can occasionally be slow due to heavy workflow. I switched to Dataiku to simplify SAS programming.
May 20, 2024
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Thomas
Dataiku's User-Friendly Interface: A Standout Feature
Dataiku's user-friendly interface is a standout feature for me. Even without extensive coding knowledge, I've been able to navigate and utilize the software effectively
May 14, 2024
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Jesse D
Excellent Tool for Advancing in Data Science
The variety of options that Dataiku provides is crucial for my transition to more data science enablement. I find this platform excellent for managing all my data needs efficiently and effectively. Despite occasional outages, the swift recovery time ensures my work is not affected. The process of introducing people to the platform is smooth. Dataiku also offers its own modules that help in getting acquainted with the product. The wide range of analysis options could potentially serve as a comprehensive solution for all my data science needs. However, the least enjoyable part of this product is the frequent outages that happen with each version update.
May 6, 2024
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Johnny Johnson
Commendable Customer Support: Prompt and Helpful Assistance from Dataiku
The customer support for Dataiku is commendable. Whenever I've encountered issues or had questions, their team has been prompt and helpful
April 29, 2024
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Nicole C
Dataiku: A Game-Changer for Accurate Forecasts
I've been using Dataiku for several months now and it's been a game-changer. The software's predictive modeling capabilities have allowed me to make more accurate forecasts for my company
April 23, 2024
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Jarrett D
Dataiku: An Invaluable Tool for Data Analysts
As a data analyst, I have found Dataiku to be an invaluable tool. Its ability to handle large datasets with ease and efficiency has greatly improved my productivity
April 13, 2024
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Rachel Davis
Utilizing DSS for Kaggle Submissions: A Non-Data Scientist's Experience
As a non-data scientist, I was curious to see how Data Science Studio (DSS) by Dataiku could help me with data preparation, feature engineering, and predictive modeling for a data analysis project. My goal was to make two submissions on Kaggle challenges in under an hour without writing any code. I was genuinely impressed with the overall user-friendliness and ergonomics of the studio. Building "recipes" for data preparation primarily uses visual processors, and the operations are directly visible on a data sample, making it easier to validate preparation steps. I particularly appreciated the ability to replicate my recipes on both datasets with ease. I used the Data Visualization tool to create a few exploratory charts, which was relatively straightforward, although not as powerful as specialized tools like Tableau or Qlik. For the machine learning aspect, I limited myself to visual machine learning in the studio, which includes the most common algorithms. I found the ability to quickly benchmark and compare algorithm performance to be very useful.
April 13, 2024
