Top Rated DataRobot Alternatives
It basically helps in deploying and modelling ML models. It is automated technology that helps us in data preprocessing, feature engineering choosing the best model and even hyperparameter tuning. It is time-saving and can handle large data. and always choose best model for our project. Review collected by and hosted on G2.com.
it is costly and not as good as IBM Watson. Sometime it does not gives us the best model and we have to choose ourselves and also customization are limited Review collected by and hosted on G2.com.
25 out of 26 Total Reviews for DataRobot
Overall Review Sentiment for DataRobot
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Automated feature engineering, multiple algorithms trained, automated comparisons Review collected by and hosted on G2.com.
Limited applications in probabilistic and neural network applications for Customer Lifetime Value prediction Review collected by and hosted on G2.com.
Algorithmia has really put the power back in the hands of our data scientists and R&D developers. One of the key bottlenecks our organization faced was pushing code from dev into production, due to the time spent containerizing our code and the skillset required to do so. Especially in situations when we are constantly iterating and publishing new versions, the ability to containerize without support from dev ops is extremely powerful. Review collected by and hosted on G2.com.
Two of the main areas for improvement would be parity with Azure repos and more business-focused reporting of platform consumption. We have stakeholders in both technical and business areas, and struggle to communicate this across teams. Additionally, SAS is a very popular language in our line of business, which Algorithmia does not currently support. Review collected by and hosted on G2.com.
At Freiburger Energieoptimierung UG (www.frenop.de), DataRobot accelerated the pace of our analytics applied to energy efficiency and savings. Our team is integrated of Physicians who have a great knowledge of physical behaviors but we don’t have the time and the resources to develop a platform where we can analyze data from energy applications. DataRobot offers us automated solutions that are contributing for faster energy data analysis and also new discoveries with Machine Learning. The interface is very easy to use. Review collected by and hosted on G2.com.
DataRobot showed us that we need to have more data in order to proceed with some routines. Now we are investing more in time in finding this data in the real world so we can put it into these machine learning algorithms. Review collected by and hosted on G2.com.
I manage a fast pace growing start-up focused on delivering AI services for the retail sector. Our specifications require us to develop, publish and manage many ML models, such as forecast engines, basket analysis algorithms, recommendation systems and so on.
We selected algorithmia as our tool for deploying our ML models. With this we could isolate the work load of publishing ang managing ML models as well as provisioning and infrastructure management. After we implemented algorithmia, our Data Science team was able to focus solely on devising the models and improving accuracy whereas all the job of making it available to customers was carried in the platform.
As a final result we were able to move faster and have our solution deployed in the target schedule. Review collected by and hosted on G2.com.
We use the Algorithmia marketplace. It is not a cheap solution. We tried to implement an intermediate version aiming to reduce costs but we could not find a feasible solution in terms of cost.
Unfortunately we are moving our infrastructure do a Lambda Serverless Architecture in AWS. We know that we will lose much of Algorithmia simplicity but we are being forced to make this shift due to cost restrictions. Review collected by and hosted on G2.com.
Algorithmia provides a convenient platform for hosting hosting machine learning models. There is a public marketplace and a private enterprise version. The platform supports robust API documentation. It is an easy platform for data scientists or machine learning enthusiasts to work with. Review collected by and hosted on G2.com.
Deploying an algorithm requires copying code into the Algorithmia platform. We prefer to structure our code as importable libraries to improve portability. Review collected by and hosted on G2.com.
Some structures are very easy to proceed here. Specially for robotics applications. Review collected by and hosted on G2.com.
Nothing to complain at the moment. I am thankful to find good applications for the programed structures that the program offers. Review collected by and hosted on G2.com.
DataRobot is a dream-come-true to a data scientist when it comes to modeling. The platform absolutely brute-forces through popular and niche modeling techniques with your data, present you with a ton of metrics afterwards on (top and all) results, and even has deployment options after whatever analysis you do. DataRobot presents you with a good avenue of ways to connect to your data: through a URL path, a local upload (such as csv or xlsx files), or through a hdfs path, so it's pretty easy to get started! Review collected by and hosted on G2.com.
There are limitations on how much data you plow through in one project if you're not on the enterprise edition (and there are still limitations on there too). Another thing that might not be great is that it is overly aggressive on the amount of models it runs through by default. Of course you can limit to a certain degree on which models DataRobot's autopilot will be run your data through, but if you're new to the platform, it'll take some ramp-up time on how to configure the autopilot correctly. One last thing, for data sources, they should've made some connectors to RDBMS type databases, or at least a couple of the popular ones like mysql or postgres. Review collected by and hosted on G2.com.
Turn key solution to run any AI/NLP model.
1. Easy deployment and hassle free
2. Version management which will help to test any version.
3. GPU support Review collected by and hosted on G2.com.
1. Cost is too high for statups
2. More documents Review collected by and hosted on G2.com.
I got setup with Algorithmia in minutes and was able use the functionality quickly
Algorithmia allows us to deploy advanced machine learning algorithms quickly, and integrate this into our existing application Review collected by and hosted on G2.com.
Quality of some of the algorithms are not very high, so you need to spend some time identifying the right algorithms Review collected by and hosted on G2.com.
