Dataiku Trial (Sandbox)
Dataiku | 12.2.2 20230926Linux/Unix, Other 8 - 64-bit Amazon Machine Image (AMI)
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Best tool for both data scientists and data engineers
What do you like best about the product?
Easy of use,We are using it to build data pipeline for our data lake.It takes care of all the configuration things ,engineers just need to concentrate on scripting
What do you dislike about the product?
Some of the restrictions on the platform,a better scheduler would be a good one
What problems is the product solving and how is that benefiting you?
Data pipelining made simple
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Dataiku is the best data workflow tool in the market!
What do you like best about the product?
Dataiku offers a very clean, intuitive and user-friendly interface with functionality for data engineering, data analytics and data visualization. The visual recipes specifically and the ability to transform data without writing code is the best feature of the tool. The ability to easily schedule jobs inside the tool itself is a great feature as well. Unlike most of it's competitors, allowing in database execution is what sets Dataiku apart from the rest. The innovation and constant improvements to the platform such as their latest integration with GitHub for example make the tool a huge value add. Lastly, the user friendly staff that is dedicated to customer success is simply phenomenal to work with.
What do you dislike about the product?
The tool lacks good data visualization functionality. It does not offer drill down functionality in visualizations or interactive charts that work together. Additionally, the license cost is definitely on the higher end.
What problems is the product solving and how is that benefiting you?
Beyond supporting projects in every organization of the business such as Engineering, Supply Chain, Finance, Marketing, etc. the tool has enabled non-technical business users to build their own sustainable data products in our shared data lake environment. It has played a key role in our digital transformation.
Recommendations to others considering the product:
Definitely go for it! It's a great tool and a very innovative company.
Fully collaborative, high ROI and productivity-oriented data science platform
What do you like best about the product?
- very intuitive yet complete data science platform
- connecting to any kind of data bases (SQL, NOSQL, HADOOP, Cloud, Internet Server, FTP, etc)
- all the data-transformation, ML and scoring workflow can be exported to Python, R or other script
- possibility to plug-in pre-existing scripts in Python, R,
- collaborative environment
- full parametrization of the Predictive and Machine Learning algorithms, with full access to their source code
- beautiful interface that allows the data science user to increase productivity and get the things done, with absolutely no time wasted on struggling with the software
- connecting to any kind of data bases (SQL, NOSQL, HADOOP, Cloud, Internet Server, FTP, etc)
- all the data-transformation, ML and scoring workflow can be exported to Python, R or other script
- possibility to plug-in pre-existing scripts in Python, R,
- collaborative environment
- full parametrization of the Predictive and Machine Learning algorithms, with full access to their source code
- beautiful interface that allows the data science user to increase productivity and get the things done, with absolutely no time wasted on struggling with the software
What do you dislike about the product?
- data visualization could be improved
- a free "dataiku elements" version would be awesome
- a free "dataiku elements" version would be awesome
What problems is the product solving and how is that benefiting you?
Many succesful applications for Oil and Gas industry, fin-tech, e-commerce, retail, automotive, marketing, tourism, etc.
Especially useful for the following workflows:
> Predictive Maintenance
> Dynamic Segmentation
> Churn detection and minimization
> Customer Lifetime value prediction
> Demand Forecast
> Dynamic Pricing
Especially useful for the following workflows:
> Predictive Maintenance
> Dynamic Segmentation
> Churn detection and minimization
> Customer Lifetime value prediction
> Demand Forecast
> Dynamic Pricing
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