Real-Time Ad Decisions, Optimized for Every Impression
SingleStore enables AdTech platforms to optimize bidding, targeting, pacing, and fraud-prevention decisions in milliseconds - backed by a real-time database that drives every auction and budget decision with live data and AI precision.
Trusted by AdTech Leaders
Programmatic advertising happens in ultra-tight auction windows, where bid decisions, frequency controls, and fraud checks must execute in just tens of milliseconds. As models become more complex, even small increases in latency directly reduce win rates, yield, and advertiser ROI.
Audience graphs, bid streams, impression logs, and conversion signals are scattered across transactional systems, data lakes, and warehouses. Every data movement introduces delay and inconsistencies, reducing real-time optimization and making cross-channel attribution less reliable.
Machine learning is no longer just offline reporting - it now drives live bid shading, creative selection, and fraud scoring. As AI integrates deeper into the decision loop, platforms require immediate access to fresh, governed data at scale, rather than batch-refreshed snapshots.
Bid latency reduces win rate and yield
When data must travel between transactional engines and analytics platforms, auctions exceed SLA windows, lowering win probability and limiting margin optimization.
What’s needed:
A unified platform where ingest, analysis, and decisioning happen on the same live dataset in milliseconds.
Scaling concurrency without performance loss
Millions of auctions per second and simultaneous advertiser queries overwhelm isolated systems built for either writes or analytics, not both.
What’s needed:
A database built for consistent high concurrency across operational and analytical workloads without performance cliffs.
Stale data weakens targeting accuracy
Audience updates, budget pacing, and fraud signals fall behind live events when pipelines rely on ETL and batch refreshes.
What’s needed:
Continuous ingest and immediate queryability so every bid decision reflects current behavior and budget state.
Fragmented AI workflows raise operational risk
Maintaining separate stores for events, features, and vector search creates duplication and governance gaps, making AI deployment in production more complex.
What’s needed:
A single, AI-ready database supporting relational, semi-structured, and vector data under unified governance.
Infrastructure sprawl raises cost and complexity
Running multiple engines for OLTP, OLAP, caching, and AI adds operational overhead and increases synchronization risk.
What’s needed:
Consolidation into a single data platform capable of handling transactional, analytical, and AI-driven workloads simultaneously.
Unified real-time engine
SingleStore unifies transactions, analytics, and AI in a single engine, enabling bid processing, reporting, and model scoring to run on the same live data – without any movement or delay.
Continuous ingest and instant analytics
SingleStore unifies transactions, analytics, and AI in a single engine, enabling bid processing, reporting, and model scoring to run on the same live data – without any movement or delay.
Extreme concurrency at scale
Designed to handle millions of concurrent bid evaluations and user queries, SingleStore maintains predictable performance even during peak auction traffic.
ACID-compliant financial integrity
Accurate budget tracking, billing, and revenue recognition depend on strict transactional correctness, delivered by an ACID-compliant distributed database, even in high-throughput environments.
AI-ready foundation
Native support for relational, JSON, time-series, and vector data empowers AI-driven bidding, similarity targeting, and agent-based optimization – all without requiring separate systems.
Real-time bid optimization
In programmatic auctions, platforms must evaluate user context, campaign constraints, and model outputs within strict time budgets. SingleStore processes live bid streams and scoring logic simultaneously, enabling dynamic bid shading and an optimized win-rate-to-margin balance at scale.
Audience graph & identity resolution
Identity graphs ingest massive volumes of behavioral and device data. By unifying transactional updates with analytical joins, SingleStore keeps audience segments up to date, improving targeting accuracy while supporting advertiser queries and reporting without any performance trade-offs.
Ad fraud & traffic quality monitoring
Fraud detection requires correlating live impression streams with behavioral patterns and historical anomalies. SingleStore queries and correlates events in milliseconds, enabling both rule-based and model-driven scoring without slowing auction pipelines.
Scalable real-time advertising infrastructure
Skai is a leading omnichannel advertising platform serving global brands and agencies across search, social, retail media, and mobile. As growth accelerated, legacy infrastructure limited scalability and drove up hardware costs. Skai chose SingleStore on AWS to power real-time analytics while simplifying operations and reducing infrastructure overhead.
Key Impact Metrics
- 50% reduction in overall hardware requirements
- 80% reduction in in-memory data usage
- 45% of workloads achieved significantly faster data access
- Reduced servers from ~450 to ~210
- Enabled smoother growth and faster innovation
“One of the most impactful changes has been our ability to cut overall hardware requirements by 50 percent, which has translated into substantial savings.” - Ziv Fridfertig, Data Infrastructure Manager, Skai
Petabyte-scale real-time brand safety & contextual intelligence
PYLER delivers real-time video intelligence and contextual targeting to ensure ads run in brand-safe environments. Processing petabytes of data and millions of rows per second, its previous architecture couldn’t scale efficiently. PYLER selected SingleStore to unify ingestion and analytics, enabling real-time insight at massive scale.Key Impact Metrics
- Processes petabytes of data with continuous loading (100 GB/day)
- Handles 10,000+ queries per minute concurrently
- >10× faster data ingestion
- >100× reduction in query latency
- Sub-2-second performance for interactive dashboards
“With SingleStore, careful shard and sort key design delivers excellent query performance along with outstanding ingestion speed… freeing engineers to focus on delivering new features.” - Dongchan Park, VP of Engineering, PYLER
Higher yield
Real-time optimization enhances bid precision, boosts win rates, and maximizes margins across programmatic channels.
Faster innovation
A unified platform speeds the deployment of new AI models, targeting strategies, and products without introducing architectural sprawl.
AI-ready monetization
Deploy AI-driven bidding and agentic optimization with confidence, powered by live, governed data.
Lower infrastructure cost
Consolidating transactional, analytical, and AI workloads eliminates system duplication and reduces operational overhead.
Scalable growth
Handle increasing traffic, new formats like CTV, and rising advertiser demand without degrading performance.
Build the Next Generation of AdTech Performance
Unify transactions, analytics, and AI to drive real-time bidding, targeting, and optimization at scale.