Dataiku Trial
DataikuExternal reviews
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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.
Accelerating Data Workflows with Dataiku
What do you like best about the product?
It strikes a good balance between no-code workflows and also helps integrate code when required. It's a visual tool that handles the whole lifecycle of the data, it has the visual workflow style of KNIME and FME with the depth and flexibility of custom coding and cloud-based architecture. Great customer support by the way! It's also an intuitive platform to have new users onboarded on.
What do you dislike about the product?
Performance can lag with large datasets, and partitioning isn't intuitive. Version controlling is great, but the roll back does not always work as intended especially within the coding environments.
What problems is the product solving and how is that benefiting you?
Collaboration, versioning and non-local infrastructure. Those were the major pain-points that Dataiku alleviated.
Simplifying the Machine Learning Workflow
What do you like best about the product?
Love how this app makes ML development so easy! It takes care of the complicated stuff and lets you focus on building cool models
What do you dislike about the product?
after some recent updates, we've experienced a few issues that disrupted our workflow.
What problems is the product solving and how is that benefiting you?
Dataiku simplifies the machine learning workflow by providing built-in recipes that eliminate the need to rewrite repetitive code. This allows me to focus more on the overall pipeline and strategy, rather than getting bogged down in routine coding tasks. It saves time and helps maintain consistency across projects
Great product
What do you like best about the product?
Extremely easy to use and cheap, excellent customer support
What do you dislike about the product?
Difficulty in scalability of the data and feature integration
What problems is the product solving and how is that benefiting you?
Accelerating our AI use cases and their solutions can be easily tailored to the different industries of our clients
DataIku customer
What do you like best about the product?
Their customer success team and user friendly platform.
What do you dislike about the product?
Can be overwhelming for beginners in particular.
What problems is the product solving and how is that benefiting you?
Data wrangling and predictive modeling.
Great program
What do you like best about the product?
Love that I can combine data from multiple sources in one spot
What do you dislike about the product?
Can be hard if as it is not intuitive without training
What problems is the product solving and how is that benefiting you?
It is giving insights
Citizen DataScience tool
What do you like best about the product?
Low code no code platform for AI and ML.
What do you dislike about the product?
Licenses are very expensive. This is a huge barrier to adoption.
What problems is the product solving and how is that benefiting you?
Easy to use data science tool. Marketing and leagal contract use cases
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