Dataiku Trial (Sandbox)
Dataiku | 13.2.2 20241114Linux/Unix, Other 8 - 64-bit Amazon Machine Image (AMI)
External reviews
External reviews are not included in the AWS star rating for the product.
Best AI Tool Available 2024
What do you like best about the product?
It's a platform that has all the functionalities that are needed by a developer on an everyday basis. Its so easy to use and integrate that the implementation can be done within a short amount of time. It has an excellent customer support that I would definitely use it frequently.
What do you dislike about the product?
For now I am satisfied by all the features it offers.
What problems is the product solving and how is that benefiting you?
It helped me deploy a code that was just in the execution phase and deliver it to my team so that they could use it everyday. Otherwise that code would have come into production.
- Leave a Comment |
- Mark review as helpful
Great Data Science Platform for data professionals
What do you like best about the product?
Useful to process numerical, text, vector features. It has great data handling. Helpful in building machine learning models.
What do you dislike about the product?
It has large processing time. Sometimes inefficent workflow management can be observed.
What problems is the product solving and how is that benefiting you?
It has great data handling. Data crom multiple sources can be combined and also has great collabration features.
Robust tool for data science engineer
What do you like best about the product?
Frequently Use: this tool we use very frequently for data analysis and optimise an d filtering.
Easy to use: this tool is easy to use.
It's very user friendly
Easy to integration: this tool is easy to integration with other platforms.
So that we could collaborate with other team.
No of features: there are no of features .like
1.robust data integration
2. scalability
3. Visual data preparation
4.modelmonitering
Etc
Easy to implementation: dataiku dss is easy to implementation
Customer support: this is very good customer support.
Easy to use: this tool is easy to use.
It's very user friendly
Easy to integration: this tool is easy to integration with other platforms.
So that we could collaborate with other team.
No of features: there are no of features .like
1.robust data integration
2. scalability
3. Visual data preparation
4.modelmonitering
Etc
Easy to implementation: dataiku dss is easy to implementation
Customer support: this is very good customer support.
What do you dislike about the product?
Although this tool is very easy to use nd user friendly but some people who are new in data science get some challenging to use.
Cost: cost is also high .this is not suitable for small organization .
Limited free version:there are limitations of free version.
Cost: cost is also high .this is not suitable for small organization .
Limited free version:there are limitations of free version.
What problems is the product solving and how is that benefiting you?
The problem is solving of data integration.
It's robust data integration tool for it integrate data from various data sources
It's robust data integration tool for it integrate data from various data sources
Dataiku for super interpretable pipelines
What do you like best about the product?
Dataiku helps to make your hefty data pipelines readable and easier to manage. There are a lot of inbuilt recipes which helps you make your pipeline modular. It is definitely one of the nest place to productionise your systems.
What do you dislike about the product?
Not all recipes help you do the exact thing you want to do. For that you have to code the entire pipeline in a say, python recipe which again makes it less modular. Also there is less documentation available.
What problems is the product solving and how is that benefiting you?
Dataiku is beneficial in breaking your entire code into pieces called zones which makes it super interpretable for the client to understand what each piece actually does. Also, it has a good UI which makes easy to track the flow of your pipeline.
Dataiku DSS Data Science Platform
What do you like best about the product?
Visual Recipes and Code Recipes and AutoML
What do you dislike about the product?
Almost all features are nice, may be somehow expensive
What problems is the product solving and how is that benefiting you?
Regression and Classification
Dataiku DSS - One Stop Solution For Data Science Community
What do you like best about the product?
Dataiku DSS allows users to collaborate with each other and also track every users work progress. It integrates seamlessly with other tools such as Amazon S3, MS SQL Server database, etc.
What do you dislike about the product?
Being a recently launched product (2013), Dataiku DSS has minimal customer support at the moment. It can currently be installed only on Windows operating systems.
What problems is the product solving and how is that benefiting you?
Dataiku DSS provides a one-stop solution for all data science applications. It integrates well with external data sources like Amazon S3 and MS SQL Server database. It also provides several data analysis options such as statistical tools, graphs and plots for data visualization, etc. The significant benefit of Dataiku DSS lies in its flexibility to allow coders and non-coders to create optimized machine learning models. Other essential features include tracking user performances and contributions in a collab environment.
Recommendations to others considering the product:
Anaconda, RStudio
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.
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.
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.
showing 1 - 10