Dataiku Trial
DataikuExternal reviews
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Great experience
What do you like best about the product?
The flows make it very easy to visualize my data flow, instead of having multiple files everywhere. It saves me a lot of time when cleaning data and mixing different languages and technologies such as SQL, Python and R in the same project.
The plugin feature also gives me a lot of flexibility.
The fact that you can insert new data to your database from DSS, automate flows insert checks, etc. makes the whole process very intuitive and saves a lot of time.
Support is also great, very quick in answering our questions and very proactive in solving issues.
The plugin feature also gives me a lot of flexibility.
The fact that you can insert new data to your database from DSS, automate flows insert checks, etc. makes the whole process very intuitive and saves a lot of time.
Support is also great, very quick in answering our questions and very proactive in solving issues.
What do you dislike about the product?
Some minor bugs exist and some features are still needed.
I have faced bugs when integrating with Snowflake, but no major issues.
Since it is a new tool, we often face issues due to missing features, but the support team is always willing to help and add those features to their development pipeline.
Support for IT infrastructure could be a bit more proactive too, sometimes we feel a bit lost with technical issues such as storage space and how DSS uses it.
I have faced bugs when integrating with Snowflake, but no major issues.
Since it is a new tool, we often face issues due to missing features, but the support team is always willing to help and add those features to their development pipeline.
Support for IT infrastructure could be a bit more proactive too, sometimes we feel a bit lost with technical issues such as storage space and how DSS uses it.
What problems is the product solving and how is that benefiting you?
I use it for pretty much everything at work now, from recommender systems to forecasting. It saves me a huge amount of time.
I was able to collaborate with other teammates by sharing tables between projects, and automate reports and dashboards, including notifications in other tools, such as Microsoft Teams, to inform of any issues when updating those reports.
I was able to collaborate with other teammates by sharing tables between projects, and automate reports and dashboards, including notifications in other tools, such as Microsoft Teams, to inform of any issues when updating those reports.
Learning about different AutoML
What do you like best about the product?
I like the flexibility to ingest different data sources. The user interface is intuitive and allows you to upload data into a project with a few clicks. Also, the portfolio of recipes and algorithms help expedite the development of different algorithms. One exercise that I'd like to do is to test the time-saving opportunities that I can have with this type of tool.
What do you dislike about the product?
This might sound picky, but I didn't like the drag and dropped functionality within the flow, it's hard to move things around.
What problems is the product solving and how is that benefiting you?
I'm using Dataiku mostly for use cases within the Healthcare Industry
Recommendations to others considering the product:
I'd recommend getting the certification. That's a good way to get your hands one using real-world problems to explore in detail the different functionalities of the software. Also, have a data catalog to understand all the components of your data
User Friendly Tool For Data Science Professionals
What do you like best about the product?
Scalability, Availability of various Pre processing Steps/Algorithms . And also the flexibility to tweak the algorithm parameters really helpful and useful
What do you dislike about the product?
Nothing to dislike about this product, was useful till date
What problems is the product solving and how is that benefiting you?
To design and compare various models, customize the models as per my need and also scale it up without having to code allot!
Recommendations to others considering the product:
Excellent option if you are not hands on with coding but have the knowledge skills of Machine Learning/Data Science
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
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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