Dataiku Trial
DataikuExternal reviews
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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.
Best end-to-end ML platform
What do you like best about the product?
Users of any technical ability can jump in and become self-sufficient. Our team has power excel users to python/R coders and we can all use this platform and be productive. Amazing self-learning materials and reference examples. Best version of an "ML Studio" that allows more control over experiment design.
What do you dislike about the product?
Setting up the roles for users and the seemingly endless discussions between IT and the business om who can have what rights and what the end user should be allowed to do within the system.
What problems is the product solving and how is that benefiting you?
Standardizing our forecasting models across regions and analysts
A robust, complete, and highly customizable platform!
What do you like best about the product?
Dataiku has several great features. For me, the most important ones are the model version control, which allows you to track and compare different implementations, making it much easier to retrain and deploy models. Another key feature is the customizable recipes, especially in Python, a widely used language in data science. This brings great flexibility, along with numerous visually intuitive tools within the platform, enabling you to implement your code seamlessly within a data pipeline.
What do you dislike about the product?
I’m not sure if I would point out something I don’t like about Dataiku, but areas for improvement would be the statistical analysis of data within the platform. Sometimes, you might want to perform a test on a column, but the process for graphical visualization either includes only a subset of the data or requires a long path to get there.
What problems is the product solving and how is that benefiting you?
Dataiku is a comprehensive end-to-end platform, which makes it easy to ingest data and manage the entire pipeline until it is consumed by machine learning models. This is especially true for real-time models, where data can arrive through an endpoint, be processed, and then inserted into the model for inference.
Dataiku enables all data users to seamlessly collaborate with data engineers and data scientists
What do you like best about the product?
How to makes back end complex data engineering work so much easier to understand
What do you dislike about the product?
More intuitive for end users, especially people with no coding background
What problems is the product solving and how is that benefiting you?
Reduces time and efforts required to collaborate with different parties across the entire data science ecosystem
Integration with multiple platforms enhances capabilities for diverse data applications
What is our primary use case?
What is most valuable?
Dataiku is highly regarded as it is a leader in the Gartner ranking. It offers most of the capabilities required for data science, MLOps, and LLMOps. Integration with public cloud and multiple other platforms is excellent. The product is easy to install and can be maintained by a single expert. It supports good functionalities that are essential in data visualization and responsible AI.
What needs improvement?
Dataiku's pricing is very high, and commercial transparency is a challenge. Support is also an area needing improvement. More features like LLM security, holographic encryption, and enhanced GPU integration would be beneficial.
For how long have I used the solution?
I have been familiar with Dataiku for the past four to five years.
What was my experience with deployment of the solution?
I have not encountered any deployment issues. It is very easy to install.
What do I think about the stability of the solution?
I have not used Dataiku at the level that would allow me to comment on performance latency for a Big Bang environment. However, the product is good, and the output meets our expectations.
What do I think about the scalability of the solution?
Dataiku is fully scalable, and I have not identified any limitations regarding scalability so far.
How are customer service and support?
The technical support from Dataiku is not good. The support team does not provide adequate assistance, and there are concerns about billing requests.
How would you rate customer service and support?
Negative
Which solution did I use previously and why did I switch?
There are many products available in the market like Converge.io, Domino Data Lab, and ClearML. Dataiku's pricing is not competitive with these solutions.
How was the initial setup?
The initial setup of Dataiku is very easy. A single person, if experienced, can handle the installation and maintenance.
What was our ROI?
Without a reduction in price, I doubt users will see a return on investment. The market is competitive, and Dataiku must adopt a consumption-based model instead of the current monthly model.
What's my experience with pricing, setup cost, and licensing?
The pricing for Dataiku is very high, which is its biggest downside. The model they follow is not consumption-based, making it expensive.
Which other solutions did I evaluate?
There are many products in the market like Converge.io, Domino Data Lab, and ClearML.
What other advice do I have?
Overall, Dataiku is a very good product except for the commercial aspect and the support. More features like LLM security and holographic encryption would be appreciated. I would rate the technical support three out of ten due to its current inefficacy. For pricing, on a scale of one to ten, where ten is expensive, I rate it around eight to nine. I rate the overall solution a ten.
Dataiku is very handy for advanced Data Analytics
What do you like best about the product?
Dataiku is very handy for advanced Data Analytics without need of any code,
Many business users especially from non analytics background people feels very isnightful using Dataiku. company CEO's top management people use this to get business insghts and I recommend this to every organisation to have such a great tool to get Business insights whcih can help in any analysis.
Many business users especially from non analytics background people feels very isnightful using Dataiku. company CEO's top management people use this to get business insghts and I recommend this to every organisation to have such a great tool to get Business insights whcih can help in any analysis.
What do you dislike about the product?
I dont htink it has any dislikes. It is very good
What problems is the product solving and how is that benefiting you?
Suppy chain analytics, Demand Forecasting, Marketing and Promotional anlaytics in Retail, CPG, Oil and Gas domain
Best AI Tool Available 2024
What do you like best about the product?
It's a platform that has all the functionalities that are needed by a developer on an everyday basis. Its so easy to use and integrate that the implementation can be done within a short amount of time. It has an excellent customer support that I would definitely use it frequently.
What do you dislike about the product?
For now I am satisfied by all the features it offers.
What problems is the product solving and how is that benefiting you?
It helped me deploy a code that was just in the execution phase and deliver it to my team so that they could use it everyday. Otherwise that code would have come into production.
Great Data Science Platform for data professionals
What do you like best about the product?
Useful to process numerical, text, vector features. It has great data handling. Helpful in building machine learning models.
What do you dislike about the product?
It has large processing time. Sometimes inefficent workflow management can be observed.
What problems is the product solving and how is that benefiting you?
It has great data handling. Data crom multiple sources can be combined and also has great collabration features.
Robust tool for data science engineer
What do you like best about the product?
Frequently Use: this tool we use very frequently for data analysis and optimise an d filtering.
Easy to use: this tool is easy to use.
It's very user friendly
Easy to integration: this tool is easy to integration with other platforms.
So that we could collaborate with other team.
No of features: there are no of features .like
1.robust data integration
2. scalability
3. Visual data preparation
4.modelmonitering
Etc
Easy to implementation: dataiku dss is easy to implementation
Customer support: this is very good customer support.
Easy to use: this tool is easy to use.
It's very user friendly
Easy to integration: this tool is easy to integration with other platforms.
So that we could collaborate with other team.
No of features: there are no of features .like
1.robust data integration
2. scalability
3. Visual data preparation
4.modelmonitering
Etc
Easy to implementation: dataiku dss is easy to implementation
Customer support: this is very good customer support.
What do you dislike about the product?
Although this tool is very easy to use nd user friendly but some people who are new in data science get some challenging to use.
Cost: cost is also high .this is not suitable for small organization .
Limited free version:there are limitations of free version.
Cost: cost is also high .this is not suitable for small organization .
Limited free version:there are limitations of free version.
What problems is the product solving and how is that benefiting you?
The problem is solving of data integration.
It's robust data integration tool for it integrate data from various data sources
It's robust data integration tool for it integrate data from various data sources
Dataiku for super interpretable pipelines
What do you like best about the product?
Dataiku helps to make your hefty data pipelines readable and easier to manage. There are a lot of inbuilt recipes which helps you make your pipeline modular. It is definitely one of the nest place to productionise your systems.
What do you dislike about the product?
Not all recipes help you do the exact thing you want to do. For that you have to code the entire pipeline in a say, python recipe which again makes it less modular. Also there is less documentation available.
What problems is the product solving and how is that benefiting you?
Dataiku is beneficial in breaking your entire code into pieces called zones which makes it super interpretable for the client to understand what each piece actually does. Also, it has a good UI which makes easy to track the flow of your pipeline.
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