Real-Time Security Intelligence
Unify security telemetry, analytics, and AI on a single real-time database to detect, investigate, and respond to threats instantly.
Trusted by leading cybersecurity innovators
Endpoints, cloud workloads, APIs, identity systems, and networks generate billions of daily events. As telemetry volume accelerates, fragmented pipelines and batch analytics introduce blind spots, delayed detection, and escalating infrastructure complexity.
Data movement delays detection
Security pipelines that shuttle events between ingestion layers, search engines, warehouses, and AI stores introduce critical latency during active incidents.
What’s needed:
A unified platform where ingestion, analytics, and AI operate on the same live dataset without cross-system transfers.
Fragmented context weakens correlation
Separate stores for logs, identities, network events, and behavioral data prevent full-spectrum analysis of threats.
What’s needed:
A single database capable of querying structured data, semi-structured data, time-series, and vector embeddings together in one correlated view.
Scale breaks under peak incidents
Major attacks trigger query storms from analysts, automated workflows, dashboards, and APIs. Systems optimized for limited concurrency degrade under pressure.
What’s needed:
Horizontal scalability with consistent performance across thousands of concurrent human and machine-driven queries.
Weak consistency risks audit gaps
Security platforms require precise, tamper-resistant records of events, alerts, and remediation actions. Systems that trade correctness for speed undermine compliance and trust.
What’s needed:
ACID-compliant transactional guarantees ensuring every event and action is accurately recorded, durable, and auditable.
AI pipelines rely on stale copies
Security AI initiatives often depend on duplicated data or offline feature stores, limiting freshness and increasing governance risk.
What’s needed:
An AI-ready database where models and agents reason directly on governed, real-time security telemetry.
Unified engine for security operations and analytics
SingleStore's HTAP database powers both high-velocity event ingestion and complex investigative queries in one system, eliminating delays between detection and insight.
Real-time ingest at massive telemetry scale
Security events stream in continuously and become queryable in milliseconds, enabling immediate correlation and response.
High concurrency under attack conditions
Thousands of simultaneous analyst queries, API calls, dashboards, and AI agents run without performance degradation, even during major incidents.
ACID compliance for security-grade reliability
Full transactional integrity ensures alerts, events, and automated actions are consistent, durable, and compliant.
AI-ready for next-generation cyber defense
Native support for relational and vector search enables anomaly detection, behavioral analytics, and agent-driven investigations directly on live data.
Cloud & SaaS security telemetry
Cloud-native security platforms ingest unpredictable, bursty telemetry from distributed environments. High scalability and concurrency ensure performance remains consistent as customer bases and event volumes grow.
Behavioral analytics & insider threat detection
User and entity behavior analytics require live context across sessions, devices, and identities. Real-time intelligence enables platforms to surface meaningful anomalies instantly while reducing false positives through richer correlation.
Automated incident response
When incidents occur, speed determines impact. A unified data foundation enables automated playbooks and AI agents to access full investigative context immediately, accelerating containment and reducing manual triage workload.
Unified SIEM & XDR Platforms
Modern SIEM (Security Information and Event Management) and XDR (Extended Detection and Response) vendors must correlate signals across endpoints, networks, cloud, and identity in real time. By unifying ingestion and analytics, platforms continuously update detection models and investigative views without relying on batch pipelines or duplicate storage layers.
AI-powered investigation assistants
Security copilots and AI assistants must reason over live alerts, raw telemetry, and historical investigations simultaneously. Unified real-time access to relational and vector data enables accurate, context-aware guidance for analysts.
Unlocks millisecond-level analytics with SingleStore
Orca Security (agentless cloud security) hit scalability, consistency, and SLA issues as enterprise data volumes grew. Their prior approach used multiple small Postgres instances plus Elasticsearch, which required constant syncing and introduced latency and reliability problems. Orca chose SingleStore to consolidate systems and enable millisecond-level analytics for cloud security insights.
Key outcomes
Replaced Postgres + Elasticsearch with a single SingleStore instance
Orca’s original schema had 1,000+ tables; redesigned to tens of tables with 1,000+ columns and JSON fields
Enabled millisecond-level analytics for faster threat detection
Simplified architecture and reduced ongoing maintenance requirements
Delivered a real-time, SaaS-based multi-tenant analytics platform with self-service analytics
“The combination of Twingo’s expertise and SingleStore’s cutting-edge capabilities empowered us to reach every one of our goals” - Raphael Sasson, Senior Data Architect
P95 queries under 400ms on 40TB
Imperva (now part of Thales, as of December 2023) needed a cloud-native statistical engine that could scale globally, deliver sub-second performance for dashboards and billing, and reduce downtime from manual operational dependencies. After evaluating alternatives in a POC, they selected SingleStore with Twingo to meet near-real-time ingestion needs and support very high concurrent, customer-facing transactions.
Key outcomes
95% of queries under 400ms across 40TB of data
Expanded from 1 region to 4 for global compliance needs
Expanded units from 6 to 30
Adding a new metric reduced from two weeks to 30 minutes
Improved stability via more automated management, reducing manual intervention and downtime
“SingleStore has proven to be the right solution for us - scalable, flexible, and reliable, consistently delivering over time.” - Elad Tamary, Principal Engineer, Imperva by Thales
Saves 70% on data pipeline cost at massive scale
Armis helps enterprises discover and secure managed, unmanaged, and IoT devices, running a real-time platform for device detail and behavioral insights. In their largest environments, Armis needed to ingest and analyze huge volumes while improving performance versus Elasticsearch and reducing pipeline cost. They moved their largest dataset from Elasticsearch to SingleStore and moved analytical workloads from PostgreSQL to SingleStore.
Key metrics / outcomes (from source)
70% cost reduction in data pipeline cost
100 billion events/day
1.2 billion sessions/day
~1 million rows/second loading complex data
30TB datasets in largest customer environments
Performance: queries that timed out under Elasticsearch now run <10 seconds, some <1.5 seconds
“We simplified our pipeline with SingleStore, and things work much better than they did with ElasticSearch.” - Roy Franco, Data Infrastructure Team Leader, Armis
Faster detection & response
Millisecond-level analytics empower platforms to detect, investigate, and respond to threats before they escalate, reducing financial and reputational exposure.
Architecture simplification
Consolidating ingestion, analytics, and AI workloads into one engine lowers infrastructure complexity, operational overhead, and total cost of ownership.
Scalable SaaS growth
Performance remains consistent as telemetry, customers, and AI workloads scale, enabling product expansion without re-architecture.
AI-Driven security innovation
With live, governed data feeding models and agents, platforms can operationalize AI safely—unlocking advanced detection, automation, and investigation workflows.
Power the future of real-time security intelligence
Modern cybersecurity demands live context, massive scale, and AI readiness on one trusted data foundation.