List of SentinelOne Singularity Data Lake Customers
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United States
Since 2010, our global team of researchers has been studying SentinelOne Singularity Data Lake customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased SentinelOne Singularity Data Lake for Data Loss Prevention from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using SentinelOne Singularity Data Lake for Data Loss Prevention include: Q2 Holdings, Inc., a United States based Professional Services organisation with 2476 employees and revenues of $694.0 million, Maple Reinders, a Canada based Construction and Real Estate organisation with 400 employees and revenues of $350.0 million, Relay Network, a United States based Professional Services organisation with 53 employees and revenues of $7.0 million and many others.
Contact us if you need a completed and verified list of companies using SentinelOne Singularity Data Lake, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The SentinelOne Singularity Data Lake customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Maple Reinders | Construction and Real Estate | 400 | $350M | Canada | SentinelOne | SentinelOne Singularity Data Lake | Data Loss Prevention | 2018 | n/a | In 2018, Maple Reinders implemented SentinelOne Singularity Data Lake as a Data Loss Prevention capability. The deployment focused on a security operations use case, spanning SOC teams and telemetry collection from distributed construction sites in Canada. SentinelOne Singularity Data Lake was deployed together with Singularity Endpoint to aggregate endpoint and site telemetry, centralize log ingestion, and provide indexed storage for fast queries. Configuration emphasized log ingestion pipelines, query performance tuning, and integration of endpoint telemetry to enable rapid incident triage and investigation workflows. Operational coverage included SOC analysts and field security monitoring across Maple Reinders job sites, using the SentinelOne Singularity Data Lake application to improve visibility and enable fast log queries. The vendor case study explicitly lists Singularity Data Lake as part of the deployment and outcomes, and Maple Reinders used the combined deployment to accelerate investigations and reduce downtime. | |
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Q2 Holdings, Inc. | Professional Services | 2476 | $694M | United States | SentinelOne | SentinelOne Singularity Data Lake | Data Loss Prevention | 2022 | n/a | In 2022, Q2 Holdings, Inc. migrated its entire data lake into SentinelOne Singularity Data Lake. The deployment centralized telemetry into SentinelOne's AI SIEM to unify security and operational telemetry across the organization and to establish a single repository for investigative and legal response workflows. The SentinelOne Singularity Data Lake implementation consolidated ingestion, indexing, and retention functions to provide long-term searchable retention and faster query performance. Functional capabilities implemented included centralized telemetry indexing, query acceleration for forensic search, and retention management consistent with Data Loss Prevention controls. Operational coverage focused on finance and IT security use cases across Q2's global operations with administrative control anchored at headquarters in the United States. The project aligned fraud analysts and security operations teams on a single searchable repository, enabling correlated analysis of security events and operational logs for fraud investigations and subpoena responses. Governance emphasized searchable historical records for investigative and legal needs and operationalized AI SIEM query workflows for subpoena and fraud response. Outcomes explicitly stated in the deployment narrative included faster queries and long-term searchable retention for fraud investigations and subpoena responses. | |
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Relay Network | Professional Services | 53 | $7M | United States | SentinelOne | SentinelOne Singularity Data Lake | Data Loss Prevention | 2024 | n/a | In 2024, Relay Network implemented SentinelOne Singularity Data Lake for Data Loss Prevention. The deployment centralized AWS telemetry to support a cloud and DevOps security use case and introduced Purple AI to accelerate threat hunting workflows. Relay Network configured SentinelOne Singularity Data Lake to ingest and index AWS logs and telemetry, retaining a searchable data store to speed investigations. The implementation embedded Purple AI capabilities to enable natural-language investigations and to surface investigative context for analysts, aligning with Data Loss Prevention functional workflows for detection and containment. Integrations were focused on AWS telemetry sources, and operational coverage targeted cloud security and DevOps teams in the United States. The implementation scope emphasized threat hunting and incident investigation use cases, with the application serving as the central data repository for those business functions. Governance and process changes accompanied the rollout, with threat-hunting workflows restructured to leverage automated detection context and AI-assisted queries. Outcomes reported included doubled visibility into telemetry, roughly 50 percent faster issue-detection time, and an 80 percent reduction in manual threat-detection effort, together enabling much faster natural-language investigations with SentinelOne Singularity Data Lake. |
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