jKool
Unified Application & Fast Data Analytics for analyzing machine data such as logs, metrics, performance, transactions and other time series machine data. subtitle
jKool Alternatives [Page 2]
The best jKool alternatives based on verified products, community votes, reviews and other factors.
Latest update:
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/quest-intrust-alternatives
Event log management software. Monitor real-time logs from numerous data sources in a single pane with our log monitoring tool, InTrust.
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/errlytics-alternatives
Javascript error reporting and performance monitoring tool
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Try for free
AirDroid Business, an enterprise-grade MDM solution, is designed to enable businesses mobility and productivity through remote access and control, device provisioning, policy application and management, kiosk mode, and geofencing.
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/octopussy-pm-alternatives
Octopussy, Log Management Solution
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/prometheus-alternatives
An open-source systems monitoring and alerting toolkit.
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/chaossearch-alternatives
Transform your cloud storage into a Live Search + SQL + GenAI analytical database.
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/scalyr-alternatives
Diagnose server issues without opening 5 tabs.. All your monitoring tools, for all your servers, in one place.
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/mindarray-ipm-alternatives
Unified Network Monitoring Tool, Application Monitoring, Log Management, Asset Management, Service desk, Help desk & IT Service Management. Get free trial.
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/seq-alternatives
Seq is the easiest way for .NET developers to capture, search and integrate structured log events.
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/loggly-alternatives
The world's most popular cloud log management service delivers application intelligence. No Software. No Downloads. No Sweat. Free Trial!
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/cloudlytics-alternatives
Analyze Your Amazon S3 & CloudFront Logs.
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/solarwinds-siem-alternatives
SolarWinds offers SIEM solution for security, compliance, and troubleshooting.
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/logalyze-alternatives
LOGalyze - Search, find, analyze - Open Source Log management, SIEM, Log analysis tool
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/scribe-alternatives
Scribe is an integration platform designed to quickly and efficiently handle large chunks of data at a time.