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DataSet

About DataSet

DataSet is a product whose website has been retired and now redirects to SentinelOne. DataSet provides high-speed ingestion and query capabilities for log analytics. Customer consoles, data, and integrations remain unchanged despite the website transition. DataSet is related to SentinelOne AI SIEM, described as the next evolution of log analytics and threat detection on the SentinelOne Platform.

Products

  • SentinelOne AI SIEM: Combines log analytics ingestion and query capabilities with detection, correlation, and response.

Used for

  • Logging in to access the product console
  • Accessing an EU-hosted console
  • Using documentation and support resources

Who it is for

  • Existing DataSet customers

From DataSet's own website, read 2026-10-23. How we build listings.

How to evaluate Log Management & Analytics

This is how the CIOPages Research Team evaluates this category. It is not an assessment of DataSet. It comes from our Log Management & Analysis buyer guide.

25%
Cost & Tiering Model at Volume
Unit of pricing (per-GB ingest, compute/SVC, credits, host, consumption) and how the bill behaves as volume grows; hot/warm/cold/frozen or archive tiers, index-free or low-cost retention tiers, rehydration cost and latency, and ingest controls or sampling to cap spend
20%
Search, Query & Analytics Power
Full-text vs. label-only vs. schema-on-read; query language depth (SPL, ES|QL/KQL, LogQL, DQL, SQL) and learning curve; performance on cold and high-cardinality data; aggregations, pattern detection, and live-tail for real-time troubleshooting
20%
Pipeline, Ingestion & OpenTelemetry
Agent footprint and collector strategy; native OpenTelemetry/OTLP ingest; parsing, enrichment, masking, routing, and reduction before storage; ability to fan data out to multiple destinations and to swap backends without re-instrumenting sources
15%
Security, Compliance & Retention
RBAC/SSO, field-level masking of sensitive data, immutable/WORM audit retention, and tamper-evident logging; SOC 2 / ISO 27001 / FedRAMP coverage and data residency; SIEM or threat-detection content if logs feed security
10%
Observability Correlation & Architecture
Whether logs sit standalone, inside an observability suite (correlated with metrics and traces), or inside the SIEM; trace-to-log pivots, unified context, and how cleanly it slots beside tooling you already run
10%
Operations, Scale & AI Assist
Self-managed vs. SaaS operational burden, multi-tenant and multi-cluster scale, ingest spikes and back-pressure handling; API/IaC coverage; and AI-assisted features such as anomaly detection, log clustering/patterns, and natural-language query

CIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .

Quick Facts

www.dataset.com Pricing page
CategoryObservability & Monitoring
SubcategoryLog Management & Analytics

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