We performed a comparison between DataRobot and ScienceLogic based on real PeerSpot user reviews.
Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in AIOps."DataRobot can be easy to use."
"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."
"The best feature is the highly flexible graphs."
"It has good monitoring capabilities across cloud environments, data centers, and hybrid environments."
"The power flow is great."
"The flexibility to support most technologies. The way ScienceLogic gathers data from multiple sources is vital to our customers. As we work with new customers (often with different technology requirements), ScienceLogic is flexible enough to support our clients’ varying network needs."
"One of the valuable features is rapid dashboards."
"It is very easy to configure because we are using an agent-less version. You can very quickly implement a collector for monitoring device servers."
"The tool is quite easy to deploy, and it offers very good support."
"ScienceLogic allows us to create and customize a user-friendly dashboard."
"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."
"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."
"We want to understand: how does the back end work? What if some problem occurs? What we can do? They need to provide more information."
"From a performance perspective, it needs to improve a lot."
"There are often bugs in new releases."
"The product's reporting functionalities have certain shortcomings, making it an area where improvements are required."
"They should add CLI command modes and scripts for high performance."
"They need a little more self-service."
"It was challenging onboarding users."
"Admins do not have direct access to the reporting."
Earn 20 points
DataRobot is ranked 20th in AIOps while ScienceLogic is ranked 5th in AIOps with 42 reviews. DataRobot is rated 8.0, while ScienceLogic is rated 8.6. The top reviewer of DataRobot writes "Easy to use, priced well, and can be customized". On the other hand, the top reviewer of ScienceLogic writes "Great integrations, power flow, and good support". DataRobot is most compared with Amazon SageMaker, RapidMiner, Microsoft Azure Machine Learning Studio, Datadog and Alteryx, whereas ScienceLogic is most compared with Dynatrace, LogicMonitor, SolarWinds NPM, Datadog and Zabbix.
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