Dataiku Trial
DataikuExternal reviews
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The closest thing to end-to-end data analytics available.
What do you like best about the product?
Dataiku combines the best features on data exploration, data pipelines, Dev Ops, data visualization, web apps development, machine learning, and generative AI. They are always adding new features, and they are constantly taking feedback and requests from the development community for new features.
What do you dislike about the product?
There can be some translation issues with the terminology used in the product. I would also like to see a semantic layer feature instead of every transformation step writing a new table
What problems is the product solving and how is that benefiting you?
Dataiku allows me to move from prototype to production quickly. During problem solving sessions, I can pull in data from many different sources to analyze and create a report or dashboard to monitor the situation without leaving the tool.
We work closely with dataiku with our data scientist in ou AI Factory
What do you like best about the product?
Things are easy, it boosts productivity and honestly it hasn't been this easy building with ai anywhere else
What do you dislike about the product?
I don't think i have any remark for now it is very hands on with the new topics so i am fine for now
What problems is the product solving and how is that benefiting you?
we use it for many usecase integrating ai in the bank
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
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.
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
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
Great orchestration tool for AI/ML/GenAI use cases
What do you like best about the product?
I love the fact that Dataiku makes the orchestration of AI/ML/GenAI models so easy and everything is in a single place.
What do you dislike about the product?
There is nothing specific that I dislike but there were certain features that we discovered as part of exploring Dataiku but were later fixed by the Dataiku team. Given it is an evolving product and the AI landscape is changing so fast, they need to catch up faster than their competitors.
What problems is the product solving and how is that benefiting you?
Making the orchestration easier not having to worry about building my own connectors with different sources, code environments, and having to write long lines of code. I can simply use the recipes that are inbuilt.
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