Zebrium

Name: Zebrium
Brand: Zebrium

Zebrium - ML-Driven Root Cause Analysis

Est 2017|Valuation $23.9M|Raised $10.2M

LinkedIn 987|Website|FTEs 14|HQ Santa Clara, California, US

MarketsIncident Management & On-Call

01Competitive Landscape

Narrative analysis

#### Areas of relative strength - Log-centric RCA using unsupervised ML without explicit rule authoring is a central feature of the product and is highlighted in vendor and integration documentation. - The product is designed to deliver RCA artifacts into existing observability dashboards and incident workflows. - Historical materials describe both SaaS and on-premises deployment options, which can be relevant for data residency requirements. #### Where alternatives may be stronger - Unified observability platforms (Dynatrace, New Relic, Splunk) can reduce integration overhead and provide broader correlation across traces, metrics, logs, RUM, and synthetics. - Competitors typically have larger public review footprints, community resources, and independent analyst coverage, easing due diligence. - Post-acquisition branding and packaging changes may make roadmap and pricing clearer through ScienceLogic channels rather than via the original Zebrium channels. #### Adoption trends / market signal - ScienceLogic’s acquisition of Zebrium indicates an integration of ML-based RCA into a broader AIOps/observability portfolio. - Documentation on marketplace listings indicates commercial partnership and packaging paths for some customers.

	Zebrium / Skylar Automated RCA	Dynatrace	New Relic
Starting Price	ScienceLogic lists Skylar RCA starting in the thousands per month for a modest daily log volume (annual billing typical)	Public usage-based pricing published; example: Full‑Stack Monitoring pricing for hosts (usage models vary)	Free tier available; paid ingest and licensing vary by edition and usage (examples: per-GB ingest pricing)
Appropriate Use	Teams with large log volumes seeking automated RCA delivered into existing dashboards; organizations that may require on-prem deployment options	Enterprises seeking an integrated platform with automated dependency mapping and causal analysis across metrics, traces, and logs	Teams seeking flexible usage-based observability with broad integrations and a free tier for evaluation
Key Strength	Unsupervised log-based anomaly clustering and RCA reports; integration capabilities for embedding findings into dashboards and incident tools	Integrated full-stack automation, topology analysis, and causal analysis within a single suite	Broad platform coverage (APM, logs, infra, synthetics) with transparent ingest pricing models
Key Weakness	Limited independent review footprint; pricing/packaging ambiguity after acquisition; effectiveness depends on log coverage and quality	Can incur high costs at large scale; platform complexity requires commitment and governance	Costs may increase with data ingest; advanced features vary by edition and may require governance

01Competitive Landscape

Narrative analysis

Areas of relative strength

Log-centric RCA using unsupervised ML without explicit rule authoring is a central feature of the product and is highlighted in vendor and integration documentation.
The product is designed to deliver RCA artifacts into existing observability dashboards and incident workflows.
Historical materials describe both SaaS and on-premises deployment options, which can be relevant for data residency requirements.

Where alternatives may be stronger

Unified observability platforms (Dynatrace, New Relic, Splunk) can reduce integration overhead and provide broader correlation across traces, metrics, logs, RUM, and synthetics.
Competitors typically have larger public review footprints, community resources, and independent analyst coverage, easing due diligence.
Post-acquisition branding and packaging changes may make roadmap and pricing clearer through ScienceLogic channels rather than via the original Zebrium channels.

Adoption trends / market signal

ScienceLogic’s acquisition of Zebrium indicates an integration of ML-based RCA into a broader AIOps/observability portfolio.
Documentation on marketplace listings indicates commercial partnership and packaging paths for some customers.

	Zebrium / Skylar Automated RCA	Dynatrace	New Relic
Starting Price	ScienceLogic lists Skylar RCA starting in the thousands per month for a modest daily log volume (annual billing typical)	Public usage-based pricing published; example: Full‑Stack Monitoring pricing for hosts (usage models vary)	Free tier available; paid ingest and licensing vary by edition and usage (examples: per-GB ingest pricing)
Appropriate Use	Teams with large log volumes seeking automated RCA delivered into existing dashboards; organizations that may require on-prem deployment options	Enterprises seeking an integrated platform with automated dependency mapping and causal analysis across metrics, traces, and logs	Teams seeking flexible usage-based observability with broad integrations and a free tier for evaluation
Key Strength	Unsupervised log-based anomaly clustering and RCA reports; integration capabilities for embedding findings into dashboards and incident tools	Integrated full-stack automation, topology analysis, and causal analysis within a single suite	Broad platform coverage (APM, logs, infra, synthetics) with transparent ingest pricing models
Key Weakness	Limited independent review footprint; pricing/packaging ambiguity after acquisition; effectiveness depends on log coverage and quality	Can incur high costs at large scale; platform complexity requires commitment and governance	Costs may increase with data ingest; advanced features vary by edition and may require governance