We performed a comparison between BigPanda and IBM Tivoli NetCool OMNIbus based on real PeerSpot user reviews.
Find out what your peers are saying about Zabbix, Datadog, Auvik and others in IT Infrastructure Monitoring."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."
"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."
"A user-friendly solution."
"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"Alert deduplication and correlation - In an environment like the NOC where you're ingesting hundreds and thousands of alerts from various monitoring sources, it's time consuming and difficult to go through individual alerts and also difficult to spot critical issues. It's been great to have BigPanda not only deduplicate alerts but also correlate alerts that are seemingly unrelated, to create a clearer picture."
"The main thing that we like about BigPanda is the user interface."
"Easy integration - We've had challenges in the past integrating all of our various monitoring sources and tools into one central system. BigPanda, with the integrations that it already has, as well as offering webhook/REST API, has made it very easy for us to plug everything in."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"It is an easy-to-use solution."
"Probes are the best feature because they are well written which rarely requires you to write additional rules. These probes monitor activity within your environment."
"It is customer-centric. Customers can access the event list from their location or desktop and view the event. There is no need to go and connect to any other server and run events to have a view of all the events happening in the environment. We get a good response from customers about this feature and the main architecture of NetCool. Its processing is very good. Deduplication and correlation functionalities are good in this solution as compared to other solutions. A big advantage of NetCool is that it also supports multi-layered protocols. We can receive multiple events from different protocols like UDP, HTTP, and those events can be captured in NetCool."
"The monitoring is the solution's most valuable feature."
"The biggest plus points for me are the configurability and scalability of the solution, as well as the multi-tenancy of the platform."
"The most valuable feature is the event management capability."
"We had to use a partner for the deployment."
"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."
"BigPanda attempts a little of everything and fails at most."
"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."
"The solution could improve by having better integration."
"The usability needs to improve, because it is a pure code environment."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"Lacks sufficient dashboard features."
"There should be an easier-to-understand model, more of a flat-structured model rather than different tiers of licenses which complicates licensing."
"The cost of the product is quite high. They should work to adjust their pricing models."
"Its technical support team takes longer to reply."
"The web portal and typical event controls are a little outdated."
"Its integration could be better. They should provide an easier integration for all the monitoring stuff, and it will make things easier for us. Currently, there is a complexity in integrating it with a vendor application, and we have to use another tool to integrate it with a vendor application. To integrate some applications with NetCool, I need to install an IBM tool on top of it. It would be good if they can provide an API or any kind of interface that we can leverage while developing a new protocol interface or application. We should be able to use an API or interface with NetCool. Its GUI can also be better. As compared to other tools, it is not user friendly, and it is not easy to do stuff through GUI. Whenever we do anything on the GUI, it takes time. They need to focus on the GUI part, especially the dashboard. They should focus on how users can effectively drill down from one box to another. The visual appeal of the dashboard is as important as the data and functionality."
"I would like for the next release to be more user-friendly and out of date. The next release should focus on the cloud, AI, and ML technologies."
BigPanda is ranked 39th in IT Infrastructure Monitoring with 11 reviews while IBM Tivoli NetCool OMNIbus is ranked 7th in Event Monitoring with 10 reviews. BigPanda is rated 7.4, while IBM Tivoli NetCool OMNIbus is rated 7.2. The top reviewer of BigPanda writes "Enables faster on-boarding, beneficial API integration, but correlations could improve". On the other hand, the top reviewer of IBM Tivoli NetCool OMNIbus writes "Good event management features and supports SNMP devices well". BigPanda is most compared with ServiceNow, Moogsoft, PagerDuty Operations Cloud, ServiceNow IT Operations Management and Splunk Enterprise Security, whereas IBM Tivoli NetCool OMNIbus is most compared with ServiceNow IT Operations Management, IBM Tivoli NetCool Impact, ScienceLogic, PagerDuty Operations Cloud and SCOM.
We monitor all IT Infrastructure Monitoring reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.