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Causely vs NetAI

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Causely

6.3#5 in aiops platformsFrom $2,000 a month
WebAPILinuxSelf-hosted
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NetAI

7.7#1 in aiops platformsFrom $5.99 a month
Free planWebAPILinuxSelf-hosted
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What both publish

FactCauselyNetAI
DeploymentThe documentation lists Kubernetes, Docker, and other environments for deploying the mediator; the maker also describes hybrid SaaS and bring-your-own-cloud options.Core can run on-premises, in the cloud or in a hybrid arrangement, with an air-gapped option for on-premises installations.
HeadquartersNew York, United StatesSan Jose, CA, USA
IntegrationsThe supported technologies page lists 73 technologies, including agents, telemetry sources, installation options, and workflow destinations such as Slack and Microsoft Teams.Named ITSM integrations are ServiceNow, Jira and BMC Remedy.
PurposeCausely gives operations agents causal context from a live model of a system so they can diagnose issues and act proactively.NetAI describes its platform as network operations software that converts topology and telemetry into a deterministic root cause analysis chain.
SupportThe Professional plan includes a dedicated Slack or Teams channel for ad-hoc help with best-effort response times.The AWS listing gives [email protected] as vendor support contact and separately describes AWS infrastructure support as 24x7x365.

Causely plans

  • Professional Edition$2,000 a month
  • Enterprise EditionPriced on request

NetAI plans

  • FreeFree
  • NetAI Core FreeFree
  • Enterprise$5.99 a month
  • NetAI Core Enterprise$5.99 a month
  • NetAI GraphIQPriced on request
  • EdgeViewPriced on request

Pick Causely if…

Causely is intended for teams building or running operations agents and for SRE and platform teams responsible for reliability. Its BYOC deployment may suit customers needing the application to run within their own environment.

Pick NetAI if…

NetAI is aimed at service providers, enterprise network teams, and cloud or data center operators. It may suit organizations needing network visibility, root-cause analysis, and flexible deployment options.

Charts they share