We performed a comparison between Datadog and DataRobot based on real PeerSpot user reviews.
Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in AIOps."The ingestion points are unlimited and support customization. We haven't had anything yet that we haven't been able to integrate with it."
"It is a good one stop location where we keep all our data for our infrastructure, and it's also easier to navigate between different things."
"The dashboards and the performance of the software have been great."
"Datadog's seamless integration with Slack and PagerDuty helped us to receive alerts right to the most common notification methods we use (our mobile devices and Slack)."
"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."
"The most valuable feature of Datadog is its logs."
"The most valuable aspects of the product include the APM and profiler."
"I don't have to worry about upgrades with the AWS version."
"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."
"It would be nice to be able to graph metrics by excluding certain tags (like you can do in monitors)."
"I found the solution to be stable, I did not experience any bugs or glitches. However, some of the managing team did."
"The menu on the left is pretty dense (and I know it has to be). I never knew about the cmd+k functionality until recently. It would be helpful to offer more tips/cheat sheets to see handy shortcuts like that."
"I find the training great. That said, it is set for the LCD (lowest common denominator). Of course, this is very helpful to sell the product, yet, to really utilize the product, you need to get more detailed."
"I would like better navigability across pages."
"The more tools that they can build that allow you to run AWX playbooks, or other similar fixes, would benefit clients greatly."
"Datadog could improve the flexibility with AI and ML concepts. This will allow customers to be more leveraged towards publishing."
"The dashboard could be improved. It would be helpful to get a view of specific things that we need to monitor for our application."
"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."
Earn 20 points
Datadog is ranked 1st in AIOps with 137 reviews while DataRobot is ranked 20th in AIOps. Datadog is rated 8.6, while DataRobot is rated 8.0. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of DataRobot writes "Easy to use, priced well, and can be customized". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas DataRobot is most compared with Amazon SageMaker, RapidMiner, Microsoft Azure Machine Learning Studio, Alteryx and SAS Predictive Analytics.
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