Data Science and Machine Learning Platforms Reviews and Ratings

Dataiku as a platform has so far been meeting our expectations as a business. We are able to move our data science workflows onto the platform with minimal issues. The platform's versatility has allowed us to onboard users with varying levels of experience and scope, from highly technical data scientists to business users who primarily use no-code approaches. Dataiku as a vendor has been similarly a good experience. From pre-sales to post-sales support, Dataiku has been highly responsive, and is willing to provide support in various channels. As a client, we feel that we are truly catered to with care.

Both the business support and technical support have been always helpful and truly passionate about the customer. The platform itself is well flushed out to solve our needs quickly and correctly. The vendor offered detailed support to help nurture myself into a higher understanding of the ML projects I was working on which resulted in a better overall outcome.

Alteryx are always very engaged with me as a customer. I feel they genuinely care about our customer experience and always strive to work with us to find the best solutions to our problems.

Easy to manage campus wide license. Most powerful tools with AI features. Easy communication with arduino and raspberry pi hardware.

I am just begining with RM. For now, it helps me get quick and easy access to visualise production data. It helps me understand how operation are on the daily basis, overnite and on the weekend. It helps me react quickly in order to optimize and give my recomendation to my team.

I needed assistance to migrate our old SPSS license server to a new virtual server running the latest release of Windows server, as well as the IBM/SPSS management software. When I created a case, the person remained committed to the case for a few weeks while we configure and tested the new server.

Very good experience. Very fast to deal with big data. The clouds connection and macro parts are also convenient.

Easy access to free support and courses to improve your use of tools.

Creating and customizing analytics workflows for our business using Alteryx Analytics Cloud Platform has been so smooth, making it a top platform. The experience we have with Alteryx Analytics Cloud Platform has been great.

An overall all one in solution to languages like Python. Jupyter notebook and Spyder helped me greatly with my data science tasks and the package manager makes it incredibly easy to install, update, and maintain libraries and dependencies.

For a long time, I didn't know KNIME Analytics Platform existed on the market, fortunately my organization decided to use KNIME. It was very good decision. The huge advantage of KNIME is that it is graphical. KNIME has correctly understood what graphical programming is and has enabled people who know next to nothing about programming to work with large data sets. KNIME has conceived of working with data as a data flow, where it is clear at a glance in what sequence the steps are performed. If you are writing a standard text based program, you can jump from different parts of the code to others, which makes it very difficult to read the logic of a text based program. KNIME logically guides the user to work in the data flow from the very beginning which is a huge advantage. The data workflow is broken down into small steps, which makes it easy to read the steps even months after the work has been completed, what was meant by that step (in contrast, complex SQL needs to be broken down and understood what was meant by that complex SQL even by the creator). In other words, the workflow is very easy to follow/auditing. At the same time, the KNIME makes it possible to aggregate small steps into packages so that even if there is complexity in the data flow , the attention is not overwhelmed by too much detail . This is very much appreciated.

The service provided by the Databricks Account Management, Architecture Services, and Field Engineering team has been nothing short of amazing. Product features, scalability, and operational performance have met almost all of our needs. The only let down so far (may not be Databricks' fault) is that a lot of Databricks features are not available in the Azure US Government private cloud.

I use AWS SageMaker on a daily basis for data science projects. I mainly use Studio and Notebook instances as the main development environment. The cloud makes it an ideal tool because you can work with large amounts of data with the ability to scale and obtain more resources as needed with a click.

It helps in arranging a large set of data and expedite the process

It is an application that procedures results for us in terms of business intelligence and data analytics, which we use to create the most suitable products for our customers by clearly seeing their usage behaviour and to keep up with the developing competitive environment. We can produce more specific results with the results produced by the application we developed using 3rd party C#. by the way, it is easily installed and configured in the Windows environment. Thanks to this application, our customer loss decreased and our efficiency increased.

Posit was an excellent vedor to work with: they provided no-nonsense quotes (no need to work with resellers or negotiate pricing - generally pricing is the same for everyone), they gave us a product trial of reasonable length (along with architectural support to get our infrastructure group on board), their product documentation is exceptional, and everyone I've talked to has been kind and helpful. Not once did I feel like I was trying to be upsold. And then add on the fact that the dollars you're spending are not only improving the paid product but also the open-source landscape for people across the world.

The Domino product is fantastic. It provides our users with all of the functionality that they require all packaged in a super user friendly interface that allows for maximum productivity and collaboration.

SAS is very easy to partner for support when needed. Product updates are timely and hit fixes help maintain our security and functionality as well.

Overall, h2o.ai leads you towards insightful discoveries

I have personally used vertex ai in developing Chatbot & I can say everyone should learn about vertertex ai it help you to create, deploy & manage all machine learning models.