Scanner

Name: Scanner
Brand: Scanner
Rating: 5 (8 reviews)

AI Native

The world's fastest Security Data Lake. All of your data, instantly at your fingertips.

Est 2022|Valuation $100M|Raised $29.5M|16 Ref Customers

LinkedIn 4K|Web traffic 3K|FTEs 14|HQ San Francisco, CA

MarketsSecurity Information and Event Management (SIEM)

01Competitive Landscape

Narrative analysis

- Scanner is positioned as a complement to observability or SIEM platforms by using S3 for long-term retention and building indexes alongside archived logs. Vendor-presented comparisons claiming substantial cost or performance advantages compared with other solutions are directional and depend on workload, data layout, and retention assumptions. - Vendor claims of significant performance improvements over Athena and other query-backends should be validated with customer POCs, since performance depends on query characteristics and indexing choices.

Adoption signals / market category fit

Marketplace listings and press coverage indicate the vendor is positioned in the log analysis and security analytics category and is reportedly attracting investor interest for threat hunting and related capabilities.

	Scanner	Datadog Cloud SIEM	Splunk Enterprise Security
Starting Price	Published starting price signals available from the vendor based on estimated data volume and multi-tenant managed service	Public signal: published per-event or volume-based pricing from the vendor	Typically quote-based; commonly positioned as higher-cost at scale
Primary Use Cases	AWS-centric organizations wanting long retention in S3 with searchable indexes and detections-as-code workflows	Teams standardized on Datadog who want integrated observability and SIEM-like detections	Mature SOC programs needing extensive content, dashboards, and broad deployment options
Key Strength	Search over long-retention S3 data while maintaining customer data custody and index files alongside data	Integration with Datadog telemetry and managed observability UX	Ecosystem maturity, content libraries, and broad third-party integrations
Key Weakness	AWS-centric today; some capabilities such as dashboards/analytics and RBAC depth may be less mature	Costs can scale with data volume; pricing complexity across modules	Cost and operational overhead for large-volume indexing and management

01Competitive Landscape

Narrative analysis

Scanner is positioned as a complement to observability or SIEM platforms by using S3 for long-term retention and building indexes alongside archived logs. Vendor-presented comparisons claiming substantial cost or performance advantages compared with other solutions are directional and depend on workload, data layout, and retention assumptions.
Vendor claims of significant performance improvements over Athena and other query-backends should be validated with customer POCs, since performance depends on query characteristics and indexing choices.

Adoption signals / market category fit

	Scanner	Datadog Cloud SIEM	Splunk Enterprise Security
Starting Price	Published starting price signals available from the vendor based on estimated data volume and multi-tenant managed service	Public signal: published per-event or volume-based pricing from the vendor	Typically quote-based; commonly positioned as higher-cost at scale
Primary Use Cases	AWS-centric organizations wanting long retention in S3 with searchable indexes and detections-as-code workflows	Teams standardized on Datadog who want integrated observability and SIEM-like detections	Mature SOC programs needing extensive content, dashboards, and broad deployment options
Key Strength	Search over long-retention S3 data while maintaining customer data custody and index files alongside data	Integration with Datadog telemetry and managed observability UX	Ecosystem maturity, content libraries, and broad third-party integrations
Key Weakness	AWS-centric today; some capabilities such as dashboards/analytics and RBAC depth may be less mature	Costs can scale with data volume; pricing complexity across modules	Cost and operational overhead for large-volume indexing and management