Doesn't miss system downtime, but lacks Machine learning capability
July 17, 2019

Doesn't miss system downtime, but lacks Machine learning capability

Anonymous | TrustRadius Reviewer
Score 4 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with ScienceLogic SL1

We currently use ScienceLogic to monitor our internal systems and clients systems in VMware, AWS, and Azure. We also use it for network monitoring and monthly reporting.
  • ScienceLogic has a fully featured API that can be used to integrate with other systems.
  • It simply works, in that it creates alerts and tickets in ServiceNow when systems go down.
  • A regular release cycle for updates.
  • The database design to store historic reporting data is poor and could use a refresh to next-generation No-SQL type DB's.
  • User interface updates to HTML5 have been a long time in coming.
  • Machine Learning or Trend analysis is missing from the product.
  • Self healing capabilities are not present to resolve simple alerts.
Not Sure - We replaced a legacy product with Sciencelogic.
We have great visibility when things go down. We have no trending or usage-based alerting, which is disappointing.
ScienceLogic supports AWS and Azure monitoring, and it scales ok (not great).
It has an open API that can be used from other systems for automation.
  • It has good intergration with Connectwise, then Servicenow.
  • System maintenance and upgrades are time-consuming and often fail, requiring vendor involvement, which has reduced our ROI.
We liked the cloud-based implementation of Datadog, but pricing didn't stack up. We also use LabTech to complement missing features in Sciencelogic.
ScienceLogic is well suited for most situations requiring monitoring, but lacks critical features that would make it a market leader.