We performed a comparison between BigPanda 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 best of a bad lot was the error message deduping."
"The program is very stable."
"We have also made extensive use of the outbound integrations to ticketing systems (JIRA) and collaboration tools (Slack). The main driver for us has been getting all alerting into a single UI and enabling us to streamline our incident management process."
"The main thing that we like about BigPanda is the user interface."
"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"Alert aggregation was the primary requirement. BigPanda pulls all this together into a single UI for us, allowing us to see related alerts grouped together into an incident, and enables us to easily create a JIRA ticket and Slack channel to manage an issue."
"The most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"One of the most valuable features of BigPanda is its user-friendly interface."
"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 cost of this product is too high compared to New Relic."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"BigPanda attempts a little of everything and fails at most."
"The usability needs to improve, because it is a pure code environment."
"Lacks sufficient dashboard features."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"Our infrastructure is quite large - tens of thousands of servers, often with 30-plus checks running on each host with one minute intervals. This generates a lot of data often in bursts (when we have a large scale failure). This has caused some delay in the ingestion pipeline."
"We had to use a partner for the deployment."
"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
BigPanda is ranked 15th in AIOps with 12 reviews while DataRobot is ranked 20th in AIOps. BigPanda is rated 7.2, while DataRobot is rated 8.0. The top reviewer of BigPanda writes "Offers comprehensive alert monitoring and a user-friendly interface but requires manual validation to provide accurate alerts". On the other hand, the top reviewer of DataRobot writes "Easy to use, priced well, and can be customized". BigPanda is most compared with ServiceNow, Moogsoft, PagerDuty Operations Cloud, ServiceNow IT Operations Management and IBM Tivoli NetCool OMNIbus, whereas DataRobot is most compared with Amazon SageMaker, RapidMiner, Microsoft Azure Machine Learning Studio, Datadog and Alteryx.
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