DataRobot Reviews & Product Details

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 workload of publishing and 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 to a Lambda Serverless Architecture in AWS. We know that we will lose much of Algorithmia's 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 startups

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.

Ease of use for our IT organization and good support from the company. Review collected by and hosted on G2.com.

No downsides or major issues to complain about. Review collected by and hosted on G2.com.

It built world-class algorithms for the marketplace. I was with a problem with terabytes of data and Algorithmia was so fast and easy. I is compatible with every OS and their API's makes its easy to even integrate it with website Review collected by and hosted on G2.com.

There is not much of customer support and some things are difficult to understand but at end they respond to your problems and also file ticket for particular problems. Review collected by and hosted on G2.com.

Its very help full to write the algorithm related to machine learning specially developer who want to give certain amount of data to module and model will predict based upon the data give. Review collected by and hosted on G2.com.

Start time is high,when you develop a heavy model some time its hanging Review collected by and hosted on G2.com.