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SentinelOne Singularity Data Lake

Security information and event management (SIEM) software
System security software
Features
Ease of use
Ease of management
Quality of support
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What is SentinelOne Singularity Data Lake

SentinelOne Singularity Data Lake is a cloud-based security data repository used to ingest, retain, and query telemetry such as endpoint, identity, and cloud security events for detection and investigation. It supports security operations teams that need centralized log management and analytics to investigate incidents and create detections. The product is designed to work closely with SentinelOne’s broader Singularity security platform, including endpoint and threat detection workflows. It emphasizes scalable ingestion and search over security telemetry with integrations for common data sources.

pros

Tight integration with EDR telemetry

The data lake is built to store and analyze SentinelOne endpoint and threat telemetry alongside other security logs. This reduces friction when pivoting from an alert to related endpoint activity during investigations. It also supports correlation across endpoint events and other sources without requiring separate tooling for basic enrichment. For organizations already using SentinelOne endpoint security, this can simplify operational workflows.

Centralized log retention and search

The product provides a centralized place to ingest and retain security-relevant data for investigation and hunting. It supports querying across large volumes of events, which is a core requirement for SIEM-style use cases. Central retention helps teams meet internal investigation needs and some audit requirements by keeping historical telemetry accessible. This is particularly useful when incident timelines span weeks or months.

Security-focused analytics workflows

Singularity Data Lake is oriented toward security operations workflows such as threat hunting, investigation, and detection engineering. It is typically used with security detections and response processes rather than general-purpose observability. This focus can reduce configuration overhead compared with platforms that require extensive customization to become security-relevant. It also aligns data handling with common SOC processes (triage, pivoting, and case-driven investigation).

cons

Best fit within SentinelOne stack

The strongest value is usually realized when the organization also uses other SentinelOne Singularity components. Teams with heterogeneous security stacks may find that some workflows and content assume SentinelOne-native telemetry. This can increase integration and normalization work when relying heavily on third-party data sources. As a result, it may be less attractive as a standalone SIEM replacement in mixed environments.

SIEM feature depth varies

Compared with long-established SIEM platforms, feature depth for areas like complex log parsing pipelines, advanced correlation frameworks, and highly customized reporting may require additional validation. Organizations with mature SIEM programs often need granular control over data models, retention tiers, and bespoke dashboards. Some of these needs may be met through platform capabilities and integrations, but they are not always equivalent to dedicated SIEM tooling. Buyers should confirm required SIEM controls during evaluation.

Cost and retention planning required

Data-lake approaches typically require careful planning around ingestion volume, retention duration, and query usage to manage cost. High-volume sources (e.g., cloud audit logs, network telemetry) can drive spend and may require filtering or tiered retention strategies. Security teams may also need governance processes to prevent uncontrolled data growth. These considerations can add operational overhead beyond initial deployment.

Plan & Pricing

Pricing model: Pay-as-you-go / consumption-based (ingest and query/usage). Free tier / included allowance: SentinelOne states an included 10 GB per day of data ingestion for free (AI SIEM / Data Lake official page). Publicly listed prices: SentinelOne does not publish per-GB, per-day, or per-query rates for Singularity Data Lake on its official product pages. The vendor’s public site instead directs customers to contact sales/demos for Data Lake pricing. Related published pricing (platform-level): SentinelOne’s Pricing & Packages page lists annual per-endpoint prices for Singularity packages (examples shown on the site: Core $69.99/endpoint, Control $79.99/endpoint, Complete $179.99/endpoint, Commercial $229.99/endpoint; Enterprise: contact sales) — these are platform package prices and do not disclose Data Lake consumption rates. Notes: Data Lake for Log Analytics and AI SIEM pages describe the product, architecture (hot data, no indexing), and that customers “pay only when you run queries” or otherwise are charged for usage, but no unit prices are published on sentinelone.com. For Data Lake pricing and quotes SentinelOne’s official guidance is to contact sales/partners.

Seller details

SentinelOne, Inc.
Mountain View, CA, USA
2013
Public
https://www.sentinelone.com/
https://x.com/SentinelOne
https://www.linkedin.com/company/sentinelone/

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