Compare AdRem NetCrunch vs. Splunk On-Call

NetCrunch is a next-gen, agentless infrastructure and traffic network monitoring system designed for hybrid, multi-site, and fast changing infrastructures. It combines real-time observability with alert automation and intelligent escalation to eliminate the overhead and limitations of legacy tools like PRTG or SolarWinds. NetCrunch supports agentless monitoring of thousands of nodes from a single server-covering physical devices, virtual machines, servers, traffic flows, cloud services (AWS, Azure, GCP), SNMP, syslogs, Windows Events, IoT, telemetry, and more. Unlike sensor-based tools, NetCrunch uses node-based licensing and policy-driven configuration to streamline monitoring, reduce costs, and eliminate sensor micromanagement. 670+ built-in monitoring packs apply instantly based on device type, ensuring consistency across the network. NetCrunch delivers real-time, dynamic maps and dashboards that update without manual refreshes, giving users immediate visibility into issues and performance. Its smart alerting engine features root cause correlation, suppression, predictive triggers, and over 40 response actions including scripts, API calls, notifications, and integrations with Jira, Teams, Slack, Amazon SNS, MQTT, PagerDuty, and more. Its powerful REST API makes NetCrunch perfect for flow automation, including integration with asset management, production/IoT/operations monitoring and other IT systems with ease. Whether replacing an aging platform or modernizing enterprise observability, NetCrunch offers full-stack coverage with unmatched flexibility. Fast to deploy, simple to manage, and built to scale-NetCrunch is the smarter, faster, and future-ready monitoring system. Designed for on-prem (including air-gapped), cloud self-hosted or hybrid networks.

Enhance team efficiency by directing alerts to the appropriate individuals, facilitating swift collaboration and resolution of issues. By ensuring that alerts reach the right recipients, you can minimize the time taken to acknowledge and rectify incidents. Our complete ChatOps experience seamlessly integrates with your existing tools, offering incident timelines and reporting functionalities that support blameless post-incident analysis. Foster engagement by meeting individuals in their work environments; our mobile-first solutions utilize machine learning to provide on-call accessibility from any location. Splunk On-Call streamlines incident management processes, alleviating alert fatigue and promoting higher uptime rates. Utilize Splunk On-Call to optimize your on-call schedules and escalation frameworks, automating everything from rotations to overrides. Our platform delivers contextual alert details, machine learning-based suggestions, and enhances collaboration to efficiently tackle issues, all while meticulously documenting crucial remediation information for future reference. This allows teams to not only resolve incidents promptly but also to learn from them to improve future responses.