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DataRobot serves as our data science platform for building machine learning models and the development environment for running models. We also use the best practice processes and governance that DataRobot provides, and we are interested in leveraging the commercial value that DataRobot enables.

A specific example of how I use DataRobot in my work is the speed at which you can get a model to market and the ability to manage models in production, which is excellent.

We also use DataRobot to deploy models and deploy AI solutions that are straightforward and do not require heavy processing. We have integrated this software into the toolbox of our data scientists so that they are able to produce production-grade models in a very short time.

DataRobot's best features include automated modeling, model deployment, deployment monitoring, and time series modeling.

All of these features—automated modeling, model deployment, deployment monitoring, and time series modeling—have had a great impact on my team, and my experience has been excellent because when business leaders ask for the fastest possible solution, DataRobot is our go-to platform. When you are not experienced with a specific task and want to test an array of possible models, DataRobot is the best solution to do so.

Automated machine learning, measuring feature impacts and effects, and producing live probability scores are unique aspects that stand out to me.

DataRobot has positively impacted my organization, and since we started using this tool, we have automated several legacy models with far better performance. Additionally, we have been able to use more data-driven decisions and AI positivity. We have increased productivity by four times as one of the specific metrics showing the positive impact.

To improve DataRobot, I suggest enhancing model accuracy metrics and improving automation.

The price points can also be improved. Another improvement that DataRobot needs is integrating the capability to modify the whole pipeline with Python.

I have been using DataRobot for the past five years.

DataRobot is stable. Regarding the reason why we switched from Amazon SageMaker to DataRobot, I can say that DataRobot is very stable.

DataRobot's scalability is very strong and grows with my organization's needs.

The customer support from DataRobot is proactive and responsive.

Positive

I previously used Amazon SageMaker and Python IDLE before switching to DataRobot.

Before choosing DataRobot, I evaluated other options, including Amazon SageMaker.

I have seen a return on investment, specifically with increased data science productivity by four times, time saved with deploying models, and homogeneous analysis models developed easily.

My experience with pricing, setup cost, and licensing reveals that the price points can be improved and DataRobot is not so cost-effective, especially for smaller organizations.

We switched from Amazon SageMaker to DataRobot because DataRobot is less complex, more intuitive, and user-friendly.

DataRobot is well-suited when the business has clearly defined its use case, and you have international subject matter experts or resources to support the use cases. Additionally, you need people with some data science and/or analytics knowledge, and DataRobot is less suitable when the above scenario does not exist.

DataRobot is very superb for business intelligence and making business decisions, with an intuitive user interface and excellent data consistency. I would rate this review as a 9 out of 10.

My current use case is using Alteryx for ETL, extraction, transformation and loading.

The features in Alteryx that I find most valuable are the connectors they have provided, which are really helpful for me, and I am able to connect to databases easily, so that is helpful.

The data blending feature does help improve my data preparation process.

Because I am using Gallery as well, I find that some of the processes we are running are able to be automated, so it is useful and simplifies my workflow.

The main benefits that Alteryx provides for me are that it is easier to use, I do not have to code anything, so it is a non-coding tool, and it saves my time in that aspect.

I cannot think of anything that needs improvement in Alteryx because it is working fine as expected, so I do not have any issues or feedback for it.

In my opinion, Alteryx does have a zone to do predictive analytics, but it is very limited, so they could focus more on that.

Predictive analytics is available, but it is available in a limited sense and it is not full-fledged. If I have to customize it or anything, it is difficult unless I edit the code, so I have to code it to make any changes to the algorithms that I am using, which would be helpful.

I have been working with Alteryx for close to seven years.

I have not noticed anything with the product itself, but with some of the connectors they have provided, there are some issues, so I would rate stability as an eight.

For scalability, I would rate it as a nine.

Technical support is not applicable for me as I have not reached out to Alteryx, so I do not know about their support.

Negative

My company had the licenses for Alteryx; I did not go and purchase anything.

The initial setup for Alteryx is simple; you just have to download and install it, so it is pretty straightforward, and anyone can do it.

Based on my experience, I would say the main competitor for Alteryx is Python, actual coding.

For me, it would always be Alteryx, but considering the licensing cost, if someone knows how to code in Python, that is preferred. However, for me, it would be Alteryx because it is already provided by the organization.

I do not focus on the integration with third-party vendors, and since my company takes care of all the licensing, I do not have to worry about the cost or budget in that aspect, so I really do not know and cannot comment on the costing model.

Alteryx indeed saves my time.

I would recommend Alteryx; if licensing has already been taken care of, it is a great product to use, but if you are worried about the cost, it is definitely high, as the costs are a bit high for Alteryx, so if Alteryx could reduce its cost or licensing to make it more affordable, it would be a great tool to use.

I would rate this product a nine out of ten.