Integrations and events by vendor and solution

Altogether, 104 known vendors and solutions had inbound integrations with the BigPanda platform.

• The vendor or solution that had the most integrations with BigPanda was Amazon CloudWatch (12%), followed by New Relic (11%) and Prometheus (9%).
• The vendor or solution that generated the most events in BigPanda was Cribl (13%), followed by CA Spectrum (10%) and CGI DigiOps (9%).
• The top 10 most-integrated vendors or solutions were all observability platforms or purpose-built monitoring tools, but three out of 10 of the top event generators were non-monitoring tools.

Therefore, the number of integrations didn’t necessarily correlate with the number of events generated per vendor or solution.

Percentage of integrations and events for each vendor or solution (top 10 by number of integrations)

Observability platform integrations and events

Nearly two-thirds (61%) of the known inbound integrations were between BigPanda and 20 observability platforms, which were responsible for 22% of the events.

• The top five most integrated observability platform vendors or solutions included Amazon CloudWatch (20%), New Relic (19%), Prometheus (14%), Datadog (9%), and Grafana (7%).
• The top five observability platform vendors or solutions that generated the most events were Prometheus (22%), LogicMonitor (20%), Datadog (16%), Cisco Splunk (14%), and Cisco AppDynamics (12%).
• Only two—Prometheus and Datadog—were in the top five for both the percentage of integrations and events.
• Nearly two-thirds (65%) of the integrated observability platform vendors or solutions were proprietary, and the remaining 35% were open source.

Percentage of integrations and events generated for each observability platform vendor or solution (by number of integrations)

View the effectiveness of each observability platform.

Purpose-built monitoring tool integrations and events

A third (33%) of the known inbound integrations were between BigPanda and 72 purpose-built monitoring tools, which were responsible for 50% of the events.

• The top five most integrated purpose-built monitoring vendors or solutions included SolarWinds (12%), Nagios (10%), CGI DigiOps (9%), SCOM (8%), and VMware vRealize Operations (vROps) (6%).
• The top five purpose-built monitoring tool vendors or solutions that generated the most events were CA Spectrum (20%), Hydra (16%), Logstash (11%), SolarWinds (6%), and SCOM (3%).
• Only two—SolarWinds and SCOM—were in the top five for both the percentage of integrations and events.
• Over three-quarters (81%) were proprietary, and the remaining 19% were open source.
• The most commonly integrated purpose-built monitoring tools focused on IT infrastructure monitoring (31%), network performance monitoring (17%), managed infrastructure services (11%), DEM (7%), and backup and recovery software (5%).

Percentage of integrations and events for each purpose-built monitoring tool vendor or solution (top 10 by number of integrations)

View the effectiveness of popular purpose-built monitoring tools.

Non-monitoring tool integrations and events

Just 6% of the known inbound integrations were between BigPanda and 12 non-monitoring tools, which were responsible for 27% of the events.

• The top five most integrated non-monitoring vendors or solutions included Cribl (26%), ServiceNow (14%), Sensu (13%), Apache Kafka (13%), and MongoDB (9%).
• The top five non-monitoring tool vendors or solutions that generated the most events were Cribl (48%), Sensu (28%), Apache Kafka (15%), Moogsoft (4%), and IBM Netcool (3%).
• Three—Cribl, Sensu, and Apache Kafka—were in the top five for both the percentage of integrations and events, and Cribl was the top for both.
• Half (50%) of the integrated non-monitoring vendors or solutions were proprietary, and the remaining 50% were open source.
• The most commonly integrated non-monitoring tools were from telemetry pipelines (40%), event brokers (15%), ITSM platforms (13%), database management systems (11%), event intelligence solutions (7%), and data integration tools (7%).

Percentage of integrations and events for each non-monitoring tool vendor or solution (by number of integrations)