Dataiku Trial (Sandbox)
Dataiku | 12.2.2 20230926Linux/Unix, Other 8 - 64-bit Amazon Machine Image (AMI)
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Does not scale
What do you like best about the product?
Ease of use and has many options to modeling
What do you dislike about the product?
Does not scale well for more number of users
What problems is the product solving and how is that benefiting you?
Suddenly the DSS goes down
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Great user experience for experienced and non experienced Machine Learning users
What do you like best about the product?
User interface, good learning materials enabling the fast introduction to the platform. An easy way to understand and present the data preparation flow.
What do you dislike about the product?
Could have better support on platform installation and maintenance/tunning. Still small community, when it increases would be great to take care of small doubts and tips and tricks.
What problems is the product solving and how is that benefiting you?
Better data preparation visualization, allowing a more visual way to show the process to business
An amazing optimization of AWS functionality and Dataiku DSS analytics
After first attempting a few other venues to connect with Dataiku DSS, I gave AWS a try and wished I had done so earlier. Comparatively it was a breeze to get up and running (5 minutes) and with immediate connectivity and access to applications. An extremely strong recommendation from a very satisfied user.
Dataiku Core Designer Certification
What do you like best about the product?
Dataiku DSS is a complete data science tool with wide range of applications. It practically have everything you can ask for.
What do you dislike about the product?
The statistics tab can be way better and interactive.
What problems is the product solving and how is that benefiting you?
I am planning to use Dataiku tool to manipulate data in Entertainment and media industry. Using DSS it gave me some fresh insights
Recommendations to others considering the product:
I would pick DSS over other tools in the industry any day if you are looking for a tool that can check all the boxes
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.
DSS for all data analysis needs
What do you like best about the product?
Visual recipes for data manipulation and modelling for big data. Ease to use.
What do you dislike about the product?
Community can still improved and as tool is very powerful but weak community don’t let you benefit everything
What problems is the product solving and how is that benefiting you?
Data integration, Data analysis and Data modelling. Very easy to use. Can be easily shared with the user/client for understanding and maintenance
Recommendations to others considering the product:
If you need to easily handle big data and share flows with others. Best tool to use
Dataiku is powerful tool for Data analysis and data science work.
What do you like best about the product?
DSS is powerful tool for Data science work. it's giving you best suggetion for which algorithm is best for you analysis.
I have used it basically for data preparation and data analysis purpose. it's easy to use and reuse you data flow making this really cool.
Thank DSS.
I have used it basically for data preparation and data analysis purpose. it's easy to use and reuse you data flow making this really cool.
Thank DSS.
What do you dislike about the product?
Only one thing data visualization. it's not giving you tableau software plugin.
What problems is the product solving and how is that benefiting you?
Extensively for data preparation like indexing, create calculated file, random forcast algorithm and other also create other algorithm. I have realized it's easy to use and user friendly interface.
Recommendations to others considering the product:
I am recommending for all data analyst and data scientist enthusiasm use this tool and make your decision more easy.
Good for data exploration and data analytics
What do you like best about the product?
Dataiku is a really nice tool if used wisely. My personal experience was good when I used it as a data exploration tool and analytics tool.
What do you dislike about the product?
the visualisation offered by dataiku is way too simple for them to use in production and can't be used as an etl tool.but it's very nice tool for data exploration
What problems is the product solving and how is that benefiting you?
We were trying to extract paitent claim data and were trying to create an ADS (Analytics ready Dataset) out of it for reporting
Recommendations to others considering the product:
Use for analytics and modelling
Easy to use tool for all data wrangling and ML needs
What do you like best about the product?
Ease of use due to the presence of all majorly applied operations as direct 'recipes'.
And also, the visual flow element helps keep track of things in the most intuitive manner.
And also, the visual flow element helps keep track of things in the most intuitive manner.
What do you dislike about the product?
If not properly managed, the flows can become very big and difficult to manage- I find the visual arrangement aspect of the tool to be a bit lacking. The two options of anchor and free flow both have their downsides. Anchor works fine only for smaller flows. And free flow can get messy very easily: e.g. connecting lines often criss cross even though they need not and we can visually see this but the tool does mess this up sometimes.
What problems is the product solving and how is that benefiting you?
I have used it extensively for data cleaning and preparation purpose. As mentioned above, it makes this very easy to do. Anothet aspect is that we regularly receive new data and the data preparation steps need to be re run- dataiku dss makes this easy as well.
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
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