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Its one of the smoothest transition for Data files
What do you like best about the product?
Its really easy to join different servers and get the extract into one other server which makes a hard part easy for me by writing different SQL queries
What do you dislike about the product?
I am still working on the application, but I see that there are not more plug ins for Power BI. If it was possible to send the extract file directly to Power BI that would help a lot for BI's
What problems is the product solving and how is that benefiting you?
I wont need to write different SQL queries to get data out of different servers and also helps me to build a predictive analysis for maintenance shop
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Informational and Exciting Experience
What do you like best about the product?
Dataiku offers a multitude of benefits that make it an invaluable tool for organizations looking to leverage their data effectively. My favorite things is that its collaborative environment, which fosters teamwork among data scientists, analysts, and business users, enabling them to share insights and work together seamlessly.
What do you dislike about the product?
A couple of things that I dislike about Dataiku, specifically within my organization is that we have had many unannounced errors arise. We could have a flow working for a lengthy period of time then one day it no longer works due to an error. These random errors can stop normal daily tasks to have to investigate errors that were not originally an issue.
What problems is the product solving and how is that benefiting you?
Dataiku has allowed for me to take large forms of data and conduct calculations as well as summarize to use in business each day. Dataiku also allows for me to take this data and add even more information to be able to calculate forecasts and future possible outcomes.
Data analytics
What do you like best about the product?
As a Data Engineer I like Data Analytics part and we can use AI to do that
What do you dislike about the product?
I don't see any thing as of now, I need to explore more to dislike about DataIku.
What problems is the product solving and how is that benefiting you?
I can connect all my different data sources and I don't need to worry everting is on one platform now results in expediting my ETL process.
Beginner level soon replacing Alteryx with Dataiku
What do you like best about the product?
The ability to democratize data science by making it accessible to teams with varying technical backgrounds, simplifying data access, and enabling collaboration across different roles
What do you dislike about the product?
Challenging to replicate or apply data preparation pipelines in a straightforward manner
What problems is the product solving and how is that benefiting you?
Using to optimize pharmaceutical product positioning based on financial implications
Experience was insightful and knowledgeable as u get to know about the working of LLMS etc
What do you like best about the product?
Tbh how it simplifies complex data science tasks workflows etc.
What do you dislike about the product?
Expensive for smaller orgs and mastering it's advanced analytics might be a bit tough. And running complex tasks is resource requiring robust infra
What problems is the product solving and how is that benefiting you?
Things related to sustainable fraud mitigation and AML
User friendly interface for business and non-technical oriented people.
What do you like best about the product?
Has a friendly interface and SAAS which is easier to upgrade between version updates
What do you dislike about the product?
It rund on top of database so it will always be a bit slower than running queries directly in database.
What problems is the product solving and how is that benefiting you?
Enabaling data manipulation, transformation, modeling, predictive, prescriptive, etc.
The one tool to rule theM alL!
What do you like best about the product?
It's hard to highlight a single feature so I will have to mention several:
- The ability to serve different personas, such as "coders" and "clickers" means that Dataiku is well received by non Data Scientists. Yet for those that prefer to code they can code as well.
- The ability to integrate with so many technologies and compute and storage engines both for ingestion and parallel compute means there is no job too big to be done in Dataiku when you use the right technology.
- The Flow makes complex data pipelines simple to understand and design. It also makes it very esy to use.
- The integration of Jupyter Notebooks, built-in Git versioning and Python code environment management makes the creation of new projects and project management very easily.
- And finally I would like to specifically mention their incredible Support team. In my IT career I have dealt with a myriad of enterprise software vendors including all the large ones and I can honestly say that Dataiku Support is the best one I have dealt with by miles. Response speed is amazing even at weekends or out of hours. It's clear they run a 24x7 operation across the globe. The quality and quantity of the responses from Support es exceptional. Even when asking for code snippets to use Dataiku API, which most vendors will normally charge for under professional services, we have been surprised by their willingness to help and always achieved a outcome.
- The ability to serve different personas, such as "coders" and "clickers" means that Dataiku is well received by non Data Scientists. Yet for those that prefer to code they can code as well.
- The ability to integrate with so many technologies and compute and storage engines both for ingestion and parallel compute means there is no job too big to be done in Dataiku when you use the right technology.
- The Flow makes complex data pipelines simple to understand and design. It also makes it very esy to use.
- The integration of Jupyter Notebooks, built-in Git versioning and Python code environment management makes the creation of new projects and project management very easily.
- And finally I would like to specifically mention their incredible Support team. In my IT career I have dealt with a myriad of enterprise software vendors including all the large ones and I can honestly say that Dataiku Support is the best one I have dealt with by miles. Response speed is amazing even at weekends or out of hours. It's clear they run a 24x7 operation across the globe. The quality and quantity of the responses from Support es exceptional. Even when asking for code snippets to use Dataiku API, which most vendors will normally charge for under professional services, we have been surprised by their willingness to help and always achieved a outcome.
What do you dislike about the product?
The GUI is inconsistent at times on how certain actions need to be done. While we found Dataiku Support to be exceptional we had less luck in getting new features implemented. Bug fixing has also been slow in our view even though Dataiku has a good release schedule (they usually release a patch release every 2 weeks!). In our view core features and bug fixing should take more priority than LLM features and other new features.
It needs more work to improve ML Ops. For instance model drift is also available via an additional plugin and only on certain algorithms. This should be a core capability. Collaboration could also be improved as there are some concurrency issues that need to be fixed.
It needs more work to improve ML Ops. For instance model drift is also available via an additional plugin and only on certain algorithms. This should be a core capability. Collaboration could also be improved as there are some concurrency issues that need to be fixed.
What problems is the product solving and how is that benefiting you?
Dataiku is our main ML learning platform for all our advanced analytics work loads.
Dataiku Makes Data-Driven Solutions Simple and Fast
What do you like best about the product?
What I like most about Dataiku is how easy it is to use for creating and managing data-driven solutions. The platform has a very friendly interface, so even if you are not expert, you can start to work on your data projects without much trouble. It is simple to make data pipelines, do analytics, and even create machine learning models, all in one place. Also, I really like that Dataiku can connect very easily with different cloud services and data sources. This makes my work much faster and more efficient because I do not need to spend much time on integration. Overall, Dataiku helps a lot to move quickly from raw data to useful results.
What do you dislike about the product?
There are not many things I dislike about Dataiku, but sometimes, if you want to use more advanced features, you need to have deeper technical knowledge. For someone who is just starting, this can be a bit difficult. Also, because Dataiku always adds new features, sometimes it is not easy to keep up and find the best way to use everything. Sometimes, when integrating with some cloud systems, there can be small technical problems, but usually there is good support and documentation to help.
What problems is the product solving and how is that benefiting you?
I use it for OCR automations to extract data from documents, which saves me a lot of manual work.
I use Dataiku to create RAG chatbots and connect with large language models, which makes it easy to answer questions and help users quickly.
I use Dataiku to make and automate operational reports.
Another use case is predictive maintenance for my equipment.
I use Dataiku to create RAG chatbots and connect with large language models, which makes it easy to answer questions and help users quickly.
I use Dataiku to make and automate operational reports.
Another use case is predictive maintenance for my equipment.
Great Event
What do you like best about the product?
Thanks for hosting us in the AI conference. Got to learn a lot!!
What do you dislike about the product?
Tough to integrate with existing organization tools
What problems is the product solving and how is that benefiting you?
Using analytics to solve business solutions
Alteryx to Dataiku Convert
What do you like best about the product?
Dataiku is very flexible and allows me to utilize fewer tools compared to Alteryx. This has allowed me to create smaller flows making them easier to follow.
What do you dislike about the product?
It can be hard to find certain steps since there are many tools inside of one tool.
What problems is the product solving and how is that benefiting you?
I work with a lot of data, especially dirty data and Dataiku allows me to manipulate the data I receive and turn it into something I can interpret.
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