DataRobot Reviews

DataRobot is used to create models and monitor them as an MLOps. Additionally, to work as pre-processing, to create more features based on their data. It's helping build models much better. By using DataRobot you are using data science capabilities.

The type of deployment model depends on the company, but a lot prefer the cloud rather than on-premise. However, some specific data needs to be not on-premise. Most companies want to be in the cloud, but not all the data is relevant there.

DataRobot can be easy to use.

I have been using DataRobot for approximately two years.

The price of DataRobot is good because if you take the price of the solution which is approximately $65,000, it is less than a data scientist. There are very few data scientists available.

The business departments will love to work with DataRobot because they use the tool to investigate their data, such as targeting what they want to investigate. They don't need any data scientists near them. They can investigate at eye level and bring into the BI tool, or can bring it to the data scientist. Data scientists can use this tool to bring increase the solution to the maximum. All the others can use it, but not to the maximum.

A data scientist can bring it to the maximum level, by fine-tuning it to create a lot of models. However, the BI can be used to build models and investigate their data, and they don't need to understand the mathematics behind it. This is one of the amazing things because on the business side you can use, Business One,  BI, and marketing. All these people can work with DataRobot and can create a model or create their vision, and then the BI can build it.

I rate DataRobot a ten out of ten.

We are a healthcare startup, so we work with both the healthcare insurance providers as well as the hospitals. We are developing a robotic process automation system for both the insurance part and the hospital side of the healthcare industry. In that operating process automation, we plan to imbibe intelligence, with the help of machine learning.

We especially like the initial part of feature engineering, because feature engineering is included in most engines, but DataRobot has an excellent way of picking up the right features.

If we could include our existing Python or R code in DataRobot, we could make it even better. The DataRobot that we have is specific to an industry, but most of the time we would have our own algorithms, which are specific to our own use case. If we had a way by which we could integrate our proprietary things into DataRobot with simple integration, it would help us a lot.

I chose this solution about nine months ago.

To be honest, I did not spend much time on it, but in the limited time that I worked with DataRobot, I found it to be stable. If I would have spent more time, maybe I would have provided a better assessment, but for the time that I worked on it, I found it to be good.

I found the initial setup to be simple. Maybe if we were in a large scale deployment when we purchased it, the setup difficulty would be different, but at least in the initial version, I found it to be simple and straightforward.

We dropped the plan to use DataRobot because we found the pricing to be on the higher side. We liked DataRobot a lot, but due to the pricing, we dropped that idea.

We are a new startup organization and we are in the process of evaluating various tools. During the process, we happened to install the free version of DataRobot. Because of the pricing issue, we dropped that idea. Otherwise, we thought it was good.

I would recommend this, provided there can be integration of our existing R or Python code. Maybe the structure during the permanent phase of deployment could also be made better. That would help most people.

I would rate this solution as eight out of ten.