Real-Time Customer Intelligence That Scales
Consolidate customer and campaign execution data, analytics, and AI in a single real-time platform, enabling your MarTech platform to deliver instant personalization, continuous segmentation, and reliable performance at scale.
Trusted by data-intensive marketing technology platforms
Today’s buyers expect instant personalization the moment they click, open, or browse. Batch segmentation and delayed profile updates lead to inconsistent experiences, lower conversions, and increased churn. As AI-driven engagement becomes the norm, real-time context is no longer optional - it’s essential.
MarTech platforms collect events from web, mobile, CRM, product telemetry, and third-party sources. When this data is scattered across operational stores, warehouses, caches, and AI pipelines, latency and inconsistencies erode trust in segments, scores, and campaign triggers.
Generative AI, next-best-action engines, and autonomous campaign agents are shifting from experiments into production. These systems need live behavioral context and high concurrency access. Without a unified data layer, AI becomes disconnected from operational reality and is hard to scale safely.
Profile updates can't keep up with engagement
Customer events stream in continuously, yet profile enrichment still relies on pipelines and batch aggregation. This lag reduces personalization accuracy and campaign timing effectiveness.
What’s needed:
Continuous ingestion and instant query access to behavioral, transactional, and profile data in a single real-time system.
Segmentation struggles under load
As customer bases grow to millions of profiles and simultaneous campaign queries, traditional databases and warehouses struggle with concurrency and mixed workloads, causing timeouts and slow performance.
What’s needed:
A unified engine that handles thousands of concurrent analytical and operational queries without any performance drop.
AI fails without fresh data
Feature stores, vector databases, and analytics systems often work off copied datasets, creating latency, governance headaches, and misalignment between AI outputs and production systems.
What’s needed:
An AI-ready data foundation where models, vectors, and operational data coexist with full transactional consistency.
Operational and analytical systems don't align
Campaign triggers, reporting dashboards, and product analytics often run on separate systems, leading to mismatched metrics and reconciliation work across teams.
What’s needed:
A single platform that supports real-time operational workloads and deep analytics on the same data, eliminating ETL-driven drift.
Governance and multi-tenant security gets complicated
SaaS platforms must enforce strict tenant isolation, ensure auditability, and maintain strong data governance – all while supporting rapid customer growth and global compliance.
What’s needed:
Built-in security, fine-grained access control, and reliable multi-tenant performance at scale.
A single data platform to power all SaaS workloads
SingleStore combines transactions, analytics, and AI in one distributed engine, enabling MarTech platforms to manage customer profiles, segmentation, campaign triggers, and reporting without moving data between systems.
Real-time ingest and analytics in one system
Continuous event ingestion and complex analytical queries run on the same dataset, enabling instant profile updates and live campaign activation without pipeline delays.
High concurrency performance at multi-tenant scale
SingleStore handles thousands of simultaneous queries across tenants, dashboards, APIs, and AI services - ensuring reliable performance during peak campaign launches and seasonal spikes.
ACID guarantees for reliable customer data
Full transactional guarantees keep profile updates, campaign states, and attribution records accurate and consistent across distributed workloads.
An AI-ready foundation for personalized experiences
Native support for relational, semi-structured, and vector data enables AI-driven segmentation, recommendations, and autonomous workflows to act directly on live customer context.
Enterprise-grade security and governance you can trust
Fine-grained access controls and workload isolation help SaaS vendors achieve global compliance while ensuring predictable performance across all tenants.
Real-time customer 360
MarTech platforms must unify behavioral, transactional, and CRM data into a single profile. The challenge is keeping that profile current as millions of events stream in. With a unified real-time data layer, profiles update instantly, enabling precise segmentation, personalization, and consistent experience across channels.
Instant segmentation + targeting
Campaign teams need dynamic segments that reflect what customers are doing right now. Batch pipelines cause delays and inconsistencies. A real-time system recalculates segments continuously, enabling campaigns to trigger in-session and drive higher engagement and conversion.
AI-driven personalization
Recommendation engines and next-best-action models need current behavioral context. When AI relies on stale extracts, results drift from reality. A unified, AI-ready database lets models and vectors work directly on live operational data, improving relevance and measurable lift.
High-concurrency campaign execution
Peak campaign events - product launches, promotions, seasonal spikes - create surges in queries, triggers, and dashboard activity. Platforms must handle operational writes and analytical reads simultaneously without performance degradation, preserving SLAs and maintaining customer trust.
Embedded analytics for customers
MarTech vendors are increasingly offering in-product dashboards and analytics to their customers. Running these workloads separately drives up cost and complexity. A unified engine supports embedded reporting on live data, delivering real-time insights without duplicating infrastructure.
Reinventing customer-facing analytics at enterprise scale
Adobe’s Workfront platform powers complex marketing operations for thousands of global enterprises. As usage and data volumes surged, legacy reporting systems created unacceptable latency and cost pressure. Adobe needed interactive, customer-defined analytics at massive scale—without compromising speed or predictability. SingleStore became the high-performance engine behind that transformation.
Key Impact:
300× performance improvement (from minutes to seconds)
<5 seconds ingestion and query target achieved (average <1 second)
10+ billion rows joined in complex queries
70TB+ of data across 250 tables
20% annual data growth supported
Lower total cost of ownership vs. prior architecture
“SingleStore was the first breath of fresh air that wasn’t a compromise. The data gets in fast, and we can get it out fast—within seconds.” - Matt Newman, Principal Data Architect, Adobe
Real-time marketing intelligence without the warehouse bottleneck
Siteimprove delivers digital performance insights to marketing teams worldwide. As product capabilities expanded, their data layer became a constraint—limiting responsiveness and increasing operational complexity. They needed a single platform capable of powering real-time, customer-facing analytics without architectural sprawl. SingleStore enabled that shift.
Key Impact:
Significant reduction in dashboard query latency
Database consolidation simplified architecture
Lower infrastructure costs
Improved scalability for continued product growth
Faster rollout of analytics-driven features
“With SingleStore, we can deliver the speed our customers expect while keeping our architecture simple and scalable.” - Siteimprove Engineering Leadership
Unifying AI + analytics + revenue intelligence at scale
6sense processes massive volumes of behavioral, CRM, and advertising data to power AI-driven revenue insights for B2B teams. Rapid growth and expanding AI capabilities demanded a unified data layer that could support real-time user experiences and advanced machine learning workloads simultaneously. SingleStore became the consolidation point - bringing performance, scale, and AI readiness together.
Key Impact
Tens of terabytes managed with 27 months of retained history
Consolidated multiple legacy databases into one layer
Improved query performance across customer-facing UIs
Reduced total cost of ownership
Powered AI features including real-time summaries and vector search
“We wanted all personas to use data from the same layer—with no discrepancy—and do it as fast as possible. SingleStore gave us that foundation.” - Premal Shah, Co-Founder & SVP Engineering and Infrastructure, 6sense
Faster revenue capture
Real-time personalization, segmentation, and AI-driven recommendations boosts conversion rates and campaign performance - turning live customer behavior into measurable revenue impact.
Platform differentiation
Millisecond responsiveness and always-current profiles positions your MarTech platform as performance-first, driving higher retention and stronger competitive advantage.
Architectural simplification
Consolidating operational, analytical, and AI workloads on a single engine reduces infrastructure sprawl, lowers integration overhead, and accelerates engineering velocity.
AI at production scale
A unified, real-time data foundation lets AI features move from experimentation to revenue-generating production capabilities with governance and reliability built in.
Build a Real-Time MarTech Platform That Scales
Discover how SingleStore enables SaaS vendors to power personalization, AI, and analytics on a single, unified data foundation.