48 Dataiku Reviews
Overall Review Sentiment for Dataiku
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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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
Dataiku DSS provides a central platform to manage your data pipelines, ML models and more. Review collected by and hosted on G2.com.
UI could use some work. Also, the support for using multi-file projects as a recipe or pipeline is limited. Review collected by and hosted on G2.com.
It is the best tool to analyze huge data based on the level of organization for decision-making.
Dataiku is the best tool to present data different views and representation data. Review collected by and hosted on G2.com.
The tool can be more user friendly where citizen developers can analyze the data of their own business data.
It can made available with other tool where they can connect the date to analyze it. Review collected by and hosted on G2.com.
The way that Dataiku can use tools like Python, R, SQL and the built-in tools to make even the most unorganized data source to information with a lot of value, undestandable for anyone that can read a dashboard. Review collected by and hosted on G2.com.
Sometimes the processing time can be prolonged for multi-user purposes; even with training data and a reduced number of users, it could be a very stressful task, going from 10 seconds to 1:30 minutes. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
Dataiku DSS enables me to work with both structured data, which has a standard schema, & unstructured data, which has diverse schema records. It aids with dataset manipulation at a distinct level as it's analogous to our SQL tables and custom SQL query. It supports data files present in our application servers & Hadoop clusters and provides DSS recipes whenever we perform transformations on our datasets. It can also execute our Python scripts with the inclusion of Pandas library, Pig scripts, and Hive queries. Review collected by and hosted on G2.com.
None actually. Dataiku DSS even reads external datasets and helps create new ones with recipes on Hadoop HDFS, SQL database, and Amazon S3. Partition approaches followed for Discrete & Time partitioning dimensions are also well defined in Dataiku DSS. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
