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Great product for pipeline development
What do you like best about the product?
Dataiku makes it really easy to organize and develop a data pipeline. Especially if your team works on the same pipelines together, it's really easy to co-work. I love how modular I'm able to make my flow and that I can alternate between SQL/R/Python seamlessly.
What do you dislike about the product?
Sometimes the error messages are really confusing and not helpful, especially if you're running a query downstream.
What problems is the product solving and how is that benefiting you?
Before using Dataiku we struggled to manage large data pipelines in snowflake. Having to save a series of 20+ queries without any kind of visual representation of how they flow into each other was difficult. It was also hard to co-work on the same pipelines, especially since my team works remote. Having dataiku allows us to visually see our entire data flow, which is often over 100 queries. It's also easy to co-work. We can also apply machine learning to a dataset without having to write out a code for it since Dataiku has it built in.
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Streamlined Low-code/No-code ETL and ML Platform
What do you like best about the product?
I have been using Dataiku for over 3 years and it has made my day-to-day work more efficient. It is easy for me to set up ML models and build data pipelines in a short amount of time.
What do you dislike about the product?
I think that Dataiku could develop a stronger online forum for users to come and share about their experiences using the platform.
What problems is the product solving and how is that benefiting you?
Dataiku accelerates ML and data processing work. This helps me directly by speeding up the time-to-delivery of the models I build.
Comprehensive Data/AI workflows & Orchestration solution accessible to many enterprise user profiles
What do you like best about the product?
The ability of Dataiku to serve the most advanced users, as well as business stakeholders. The flexibility and completeness of capabilities. A very strong potential for becoming a reference for AI workflow and orchestration.
What do you dislike about the product?
Still a bit scary for new users, with a lot of buttons. But definitly worth the intial investment to make the first step. Significant admin work to ensure things run smoothly for end users.
What problems is the product solving and how is that benefiting you?
Creates a collaborative space for business users and digital teams to develop advanced use cases. Makes AI workflows and data prep accessible to business users.
Dataiku creates the big picture overview you need for your data projects
What do you like best about the product?
I can step into a project with relative limited knowledge, but because of the flow overview I immediately have rough idea what is going on. This is very valuable and makes it easy for different team members to work on a project.
What do you dislike about the product?
Sometimes proprietory code has to written because you work in Dataiku. But overall this is quite limited.
What problems is the product solving and how is that benefiting you?
We solve Real Estate analysis problems using AI. The setup with Dataiku is helpful because not everyone is very tech savy, and the non-code options make the platform accessible to everyone.
A comprehensive/complete tool for data science
What do you like best about the product?
versatility: visual, low code, API
integration (wiki, dashboards, flow, models)
connectivity (Databricks)
ease of use for basic applications
immediate support
integration (wiki, dashboards, flow, models)
connectivity (Databricks)
ease of use for basic applications
immediate support
What do you dislike about the product?
quite expensive subscription
limitations in flow output (images)
steep learning curve for specific projects
limitations in flow output (images)
steep learning curve for specific projects
What problems is the product solving and how is that benefiting you?
Creation Machine learning models for feature analysis and predictions
Time series analysis and modeling
easy implementation (hyperparameter, comparison models, visualizations)
dokumentation (wiki)
visibility/visualization via flow
Time series analysis and modeling
easy implementation (hyperparameter, comparison models, visualizations)
dokumentation (wiki)
visibility/visualization via flow
Dataiku does it all - support for the full data pipeline.
What do you like best about the product?
Easy to switch between clicking and coding, plus support for SQL, Python, and R. The customer support is outstanding - they really know the product and are very responsive.
What do you dislike about the product?
Can't move icons around on the screen - they are placed randomly and haphazardly.
What problems is the product solving and how is that benefiting you?
Data orchestration, data analysis and ETL, collaboration with other teams.
Grow applications and ROI helping business units
What do you like best about the product?
Very simple to learn and use and integrate to your environment no matter which cloud provider you use.
Streamlined interface.
With Dataiku you can easily serve a lot of clients in the company: IT and business units.
Helps to democratize access to information and creation of applications.
Reuse code ... you have in Python ... use it.
Implementing Dataiku is straightforward.
Customer support really works
Streamlined interface.
With Dataiku you can easily serve a lot of clients in the company: IT and business units.
Helps to democratize access to information and creation of applications.
Reuse code ... you have in Python ... use it.
Implementing Dataiku is straightforward.
Customer support really works
What do you dislike about the product?
There is no simple and scalable price model for Gen AI applications.
Dataiku Answers can be much more powerful ,,, it should exploit a data model more easily and give you graphs and not only text as answers.
Dataiku Answers can be much more powerful ,,, it should exploit a data model more easily and give you graphs and not only text as answers.
What problems is the product solving and how is that benefiting you?
- Creating Gen AI Agents (Bots)
- Solving Churn (early detecting leaving customers)
- Replacing SAS or some processes
- Creating demand forecasting models
- Replacing hand labour (Excel, CSV, text) processing.
- Solving Churn (early detecting leaving customers)
- Replacing SAS or some processes
- Creating demand forecasting models
- Replacing hand labour (Excel, CSV, text) processing.
Dataiku proficient experience in DA
What do you like best about the product?
Easy and quick to perform quick data analysis
What do you dislike about the product?
Is very slow when the data is large. Hence, I don't use it when data is too large.
What problems is the product solving and how is that benefiting you?
Quick data analysis, Data quality checks automation, dashboards,
Best-in-class, intuitive UI and UX, outstanding training offerings
What do you like best about the product?
Dataiku makes working with generative artificial intelligence simple. The platform is clear and easy to use, even if you're not a data expert. Building a GenAI project is intuitive and fast.
Also, it is easy to try things and adjust without getting stuck.
I value the diversity of training options, too. Dataiku offers self-paced learning possibilities, demos, and articles. There is a format for everyone, and they have made me more confident when using GenAI.
Also, it is easy to try things and adjust without getting stuck.
I value the diversity of training options, too. Dataiku offers self-paced learning possibilities, demos, and articles. There is a format for everyone, and they have made me more confident when using GenAI.
What do you dislike about the product?
Some demos fill up quickly, but this usually is not a big problem.
What problems is the product solving and how is that benefiting you?
Dataiku steepens my GenAI learning curve.
My daily use Data Platform
What do you like best about the product?
Like their company motto, Dataiku is our "Everyday AI" platform. From data preparation and Exploratory Data Analysis (EDA), to MLOps and AI models, Dataiku has everything we need to streamline our analytic and AI needs.
Integrating our heterogeneous data sources is simple, and allows our staff to find the data they need and enrich it in just a few steps. The team administrating the platform at our organization can focus all their efforts in providing support and onboarding to our new users, and be sure to have the expert and excellent Dataiku support when needed.
Today, around 20% of our organization's staff uses Dataiku at least once a week, to consume reports and dashboards, or to do their own analysis, thus making the decision making process a more efficient and robust one.
Integrating our heterogeneous data sources is simple, and allows our staff to find the data they need and enrich it in just a few steps. The team administrating the platform at our organization can focus all their efforts in providing support and onboarding to our new users, and be sure to have the expert and excellent Dataiku support when needed.
Today, around 20% of our organization's staff uses Dataiku at least once a week, to consume reports and dashboards, or to do their own analysis, thus making the decision making process a more efficient and robust one.
What do you dislike about the product?
For some users, specially those used to doing all their tasks with code, the onboarding can be challenging. They might struggle to find the added value if they don't have a specific use case to start from.
What problems is the product solving and how is that benefiting you?
Dataiku is solving our problem of producing consistent reports and improving our operations with readily available reports.
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