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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
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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.
Dataiku review
What do you like best about the product?
Dataiku is user friendly and easy to learn. You can combine lots of data resources into one simple platform. I frequently use this in data analytics at my company.
What do you dislike about the product?
I would suggest more open training online to help others see the possibilities of using Dataiku.
What problems is the product solving and how is that benefiting you?
It helps me to combine all of my data into one central location
Dataiku for Advanced Analytics
What do you like best about the product?
Dataiku excels at creating a centralized platform for democratizing data for every user to collaborate regardless of their skill level. The platform is suitable for coders and non-coders, developers and business users, etc. Each release contains new Gen AI, machine learning or analytics capabilities and allows you to connect to source systems, build data workflows, interactive visualizations and automate the entire end-to-end life cycle.
What do you dislike about the product?
I think the user documentation can be challenging to sift through, I wish information was collated within one repository instead of many different links.
What problems is the product solving and how is that benefiting you?
Dataiku allows me to build end-to-end solutions leveraging big data at scale.
Great platform for practical EDA and ML purposes
What do you like best about the product?
You'd be hard pressed to create a platform with greater ease of use than Dataiku. Moving around the UI while performing data analytics or when showcasing the work performed by the team is seamless / effortless. New features also come out regularly and are constantly improving the platform. Ease of implementing the platform with other tools, such as Snowflake and Power BI, is also much appreciated.
What do you dislike about the product?
Projects can get unruly once they become large enough. This can be alleviated by creating many flow zones.
What problems is the product solving and how is that benefiting you?
Forecasting customer demand using data ingesting, prep, and time series analysis has been super valuable.
A game changing data science platform
What do you like best about the product?
It's flexibility. I can code and I like that I can create recipes that uses code to process my data. However, I enjoy having the ability to just select a visual recipe and quickly apply transformations without writing lines of coding. This keeps my skills fresh and gives me a productivity boost when I need to deliver quickly. I use the platform on a daily basis and it forms part of my core tools to develop my projects. As a big organisation, we have our own internal support to deal with issues. However, I've attended a meet up and a conference in London and met the UK team. It was an amazing experience and they offered me a lot of support showcasing new features and facilitating the contact with the Dataiku user community. Another aspect that I enjoy is the seamlessly integration with our current data systems. Using Dataiku, I can connect with all of our data sources and develop projects that weren't even possible before.
What do you dislike about the product?
My only dislike about it is the cost. Although I think it delivers what it promises, the cost is a huge barrier within my organisation. I would like to have more of our analysts with access to a designer licence. That would empower them by developing new skills. Today, only a few data scientist (including myself) and a couple of analysts have full access to the tool.
What problems is the product solving and how is that benefiting you?
When I joined the company, we didn't have a ETL manager. I used to write my SQL queries and build the connections using Power Query. The process was cumbersome and used to take a lot of hours to make small progress. With Dataiku, I now can create my models, schedule the refreshes, save the data in a centralised repository and just expose it to my data visualisation tools (Power BI). Another issue was having the compute power to process our data. I work in the energy industry and our data is all half-hourly. With Dataiku, I can use spark on EKS and process huge amount of data in just a fraction of the time I used to.
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