
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
1.Dataiku is one place tool where we can do work with data like
Data Preparation
Data Exploration
automated AI
Model Deployment
AI Monitoring
APP Management
2. Best tool to Data transformation from any resource and analysis the data in different view
3. Best tool to generate report and model of the data in pictorial and table representation. Review collected by and hosted on G2.com.
Does not scale well for more number of users
Could have better support on platform installation and maintenance
the statistics data can be better
Not giving tableau plugin Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
This might sound picky, but I didn't like the drag and dropped functionality within the flow, it's hard to move things around. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
Only one thing data visualization. it's not giving you tableau software plugin. Review collected by and hosted on G2.com.
Dataiku DSS is a complete data science tool with wide range of applications. It practically have everything you can ask for. Review collected by and hosted on G2.com.
The statistics tab can be way better and interactive. Review collected by and hosted on G2.com.
Visual recipes for data manipulation and modelling for big data. Ease to use. Review collected by and hosted on G2.com.
Community can still improved and as tool is very powerful but weak community don’t let you benefit everything Review collected by and hosted on G2.com.
Scalability, Availability of various Pre processing Steps/Algorithms . And also the flexibility to tweak the algorithm parameters really helpful and useful Review collected by and hosted on G2.com.
Nothing to dislike about this product, was useful till date Review collected by and hosted on G2.com.
User interface, good learning materials enabling the fast introduction to the platform. An easy way to understand and present the data preparation flow. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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 Review collected by and hosted on G2.com.
This software is very helpful in attracting multiple users, the analyses it does are excellent, the interface it offers is very clean and easy to use for data engineering, data analysis and data visualization, innovation and constant improvements of the platform, such as its latest integration with GitHub, for example, make the tool a great added value, the perfect tool to gather data and expertise on the subject throughout the company and to ensure security. It also has a great collaboration environment and complete parameterization of Predictive and Machine Learning algorithms, with full access to its source code. Review collected by and hosted on G2.com.
I wish there was a free version of dataiku elements", plus it doesn't do tasks on its own, but they're just small things. Review collected by and hosted on G2.com.
The ability to have "recipes" and pipelines for data is useful Review collected by and hosted on G2.com.
For my particular application if the software which was developing ML models, it was not necessary and I find using open source libraries like Pandas with my preferred python IDE to be the most versatile Review collected by and hosted on G2.com.
The histograms on each column and the recommendation of outliers. The major like from my side would be the algorithm recommendation after building model. Review collected by and hosted on G2.com.
Data transformation could have been better with different summarization symbols. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
Dataiku provides tutorials on its many aspects. For example, there is a tutorial for building and training models for your dataset. Review collected by and hosted on G2.com.
The free version does not come with a basic server to keep your datasets/flows on. Review collected by and hosted on G2.com.
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 Review collected by and hosted on G2.com.
Some of the restrictions on the platform,a better scheduler would be a good one Review collected by and hosted on G2.com.
Dataiku Data Science Studio is a great technology for engaging users through multiple parts of the analytics life cycle across all skill levels in any division of the business. This makes it an excellent tool for bringing together data and subject matter expertise across the company and for ensuring governance and security.
Additionally, Dataiku has many strong technologists in it's organization that ensure that the tool continues to evolved and stay contemporary in a fast moving space. Review collected by and hosted on G2.com.
Licensing negotiations can be difficult and pricing is high enough that it can make stakeholders shy away. Review collected by and hosted on G2.com.
Ability to slice and dice data from the interface... it’s web based application used to blast our data to entire org Review collected by and hosted on G2.com.
Glorified excel, slow to use and often is not very customizable Review collected by and hosted on G2.com.
It's a single platform to compute possibly everything and very user friendly.
Supports all the programming languages that are in market today. Very robust and adaptive to new processes and technologies Review collected by and hosted on G2.com.
NoIt performs tasks on its own so we get less chances to explore our knowledge Review collected by and hosted on G2.com.