We performed a comparison between Azure OpenAI and DataRobot based on real PeerSpot user reviews.
Find out in this report how the two AI Development Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature of Azure OpenAI stems from the GPT-3.5 models it provides to its users."
"The most valuable feature is the ALM."
"Azure OpenAI is useful for benchmarking products."
"Generative AI or GenAI seems to be the best part of the solution."
"The product is easy to integrate with our IT workflow."
"Azure OpenAI is very easy to use instead of AWS services."
"The high precision of information extraction is the most valuable feature."
"My goal was to create an experience where project managers don't have to read through entire documents. Instead, they can ask a question and receive relevant point analysis. This analysis identifies the document and specific section where the information resides. Previously, users had to rely on these document references. Now, Azure OpenAI enhances the experience by providing the answer directly in the user's own language, relevant to their context."
"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."
"DataRobot can be easy to use."
"Azure OpenAI should use more specific sources like academic articles because sometimes the source can't be found."
"We encountered challenges related to question understanding."
"There are no available updates of information that are currently provided."
"The product features themselves are fine. However, with Microsoft scaling the service so much, the support structure needs to keep pace. When solving complex issues, the process of interacting with Microsoft can be quite time-consuming."
"I noticed there are no instructional videos or guides on the network portal for initial configurations. There is limited information available, and this is a concern for me. I would like to see more resources and guides to address these issues."
"Our customers are worried about data management, ethical, and security issues."
"The fine-tuning of models with the use of Azure OpenAI is an area with certain shortcomings currently, and it can be considered for improvement in the future."
"The dialogue manager needs to be improved."
"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 a simple integration, it would help us a lot."
"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."
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Azure OpenAI is ranked 2nd in AI Development Platforms with 23 reviews while DataRobot is ranked 13th in AI Development Platforms. Azure OpenAI is rated 8.0, while DataRobot is rated 8.0. The top reviewer of Azure OpenAI writes "Created a chatbot powered by OpenAI to answer HR, travel, and expense-related questions". On the other hand, the top reviewer of DataRobot writes "Easy to use, priced well, and can be customized". Azure OpenAI is most compared with Google Vertex AI, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Hugging Face and Together Inference, whereas DataRobot is most compared with Amazon SageMaker, RapidMiner, Microsoft Azure Machine Learning Studio, Datadog and Hugging Face. See our Azure OpenAI vs. DataRobot report.
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