Aerospike named to the Inc. 5000 list for the fourth year

Aerospike has been named to the Inc. 5000 list of America’s fastest-growing private companies for the fourth consecutive year. The achievement shows how organizations use Aerospike to solve their largest, most time-sensitive data challenges in production today. From AdTech platforms processing millions of transactions per second to financial institutions running fraud detection in milliseconds, Aerospike powers systems that require predictable sub-millisecond performance but with as few as 20% of the servers needed by other NoSQL databases.

Why this recognition matters

Being named to the Inc. 5000 list for the fourth consecutive year confirms Aerospike’s role as a core technology in mission-critical systems worldwide. Our customers process millions of transactions per second, maintain billions of profiles, and make critical decisions in milliseconds, outcomes that require the scale, consistency, and cost efficiency Aerospike provides. DB-Engines also currently ranks Aerospike as the third most popular graph database in the industry.

The recognition is a result of consistent delivery: predictable performance, lower infrastructure costs, and running at a global scale without sacrificing reliability. For organizations where every millisecond and every server count, Aerospike offers a proven path to meeting current demands while preparing for future growth.

Here’s how that advantage shows up in production, with core real-time use cases such as AI (predictive, generative, agentic), AdTech/real-time bidding (RTB), fraud prevention, cost efficiency, and customer 360/personalization, including named customers and the metrics that matter.

AI: Predictive, generative, and agentic without data bottlenecks

Fraud detection, recommendations, and real-time bidding are core artificial intelligence/machine learning (AI/ML) functions across financial services, retail, and AdTech. What they share is needing low-latency, real-time access to fresh context at scale. Aerospike removes bottlenecks by serving predictive, generative, and agentic workloads from one multi-model platform (key-value, document, and graph) with consistent sub-millisecond performance as data and concurrency grow.

Predictive, generative, and agentic AI run on the same fundamentals. When features, session state, and retrieval context arrive in a few milliseconds, less time is spent on I/O and more is available for the model’s processing, including scoring, retrieval-augmented generation, and planning. This makes better decisions without missing time windows. Aerospike keeps P95/P99 latency predictable as data and concurrency grow, preserving time for inference and generative assistants, and for emerging multi-step agentic chains where every hop compounds end-to-end latency.

Customer examples

• Wayfair: Supports hybrid on-premises + Google Cloud; migrated roughly 60B records with Cross Datacenter Replication (XDR); sustained ~20M reads/sec across identity, recommendations, AdTech scoring, and dynamic content. Wayfair uses Aerospike to fuel AI-powered recommendations and personalization for millions of daily shoppers, tailoring product suggestions in real time across 14M+ items.

• Flipkart: Flipkart powers real-time inference at massive scale, using Aerospike to serve AI-driven recommendations and search results across hundreds of millions of users, especially during peak events like Big Billion Days.

AdTech: Real-time bidding and audience personalization

In AdTech, revenue depends on execution speed. Every ad impression triggers a race to evaluate the opportunity, calculate a bid, and respond before the window closes, often in just milliseconds. Aerospike supports real-time bidding systems that receive high volumes of bid requests, collect more information from first- and third-party data, apply targeting and pacing logic, and select the winning bid without introducing latency.

Beyond bidding, Aerospike supports large-scale audience segmentation, real-time frequency capping, budget pacing, and audience enrichment pipelines. These workloads run reliably under unpredictable surges in demand, such as major sporting events, global shopping days, or regional marketing pushes. Horizontal scalability keeps performance consistent across billions of daily transactions, while the efficient use of hardware keeps infrastructure costs contained.

Customer examples

• The Trade Desk: With Aerospike, The Trade Desk serves data in 8 milliseconds for real-time bidding; it also reduced server footprint from 500 to 60 machines while reducing in-datacenter footprint

• Criteo: Aerospike meets current and future performance requirements and provides fast, stable, low latency reads at the 99th percentile, allowing Criteo to handle 950 billion requests a day with 50 ms response times

• Also trusted by Adobe, Adform, and AppsFlyer

Fraud prevention: Stop bad actors in milliseconds

Fraud prevention requires speed and accuracy. Aerospike supports real-time transaction risk scoring by combining device fingerprinting, behavioral analysis, blacklist checks, and ML inference within a narrow transaction window. This detects and blocks fraud without adding unnecessary friction for legitimate users.

The platform maintains consistent performance even during sharp increases in transaction volume, such as seasonal sales or promotional events. Aerospike’s strong consistency capability means every decision is based on the most up-to-date information, preventing duplicate or stale reads from undermining fraud detection accuracy. Reducing false positives improves customer experience while lowering operational review costs.

Customer examples

• PayPal: Scales fraud prevention with about 32% annual data growth while meeting 99.95% SLAs for inline ML-based risk scoring, reducing fraud exposure by up to 30x; makes decisions in under 200 ms and maintains a fraud rate of approximately 0.17% of revenue vs. an industry average of ~1.86%

• Barclays: Fights financial fraud in real time across business units by reducing false positives and false negatives and keeping pace with evolving security requirements; delivers sub-100 ms response times at the 99.99th percentile, scaled data volume 3 TB to 30+ TB over three years, while increasing throughput 4x (to >10 million transactions/day), and reduced latency by ~80% with a simpler, more reliable architecture

Cost efficiency: Do more with fewer servers

Aerospike delivers cost efficiency at scale by giving organizations the same or better performance with fewer servers. This is possible through its patented Hybrid Memory Architecture, which uses memory for hot indexes and flash storage for persistent data that reduces unnecessary data movement.

Customers benefit from reduced infrastructure spending, lower energy consumption, and smaller operational footprints. The system’s efficiency scales with growth, keeping total cost of ownership (TCO) predictable even as workloads expand to billions of transactions per day, redirecting freed resources toward product development, market expansion, or other strategic initiatives.

Customer examples

• LexisNexis Risk Solutions: Cut latency from 120 ms to 30 ms while scaling data volume ~2.5x (450 TB to 1.3 PB) and consolidating infrastructure from 96 to 28 servers for a 70% reduction for roughly $3.3M in savings over three years, lower TCO, more predictable performance, and headroom for continued data growth

• Playtika: Consolidated a bloated, siloed footprint from approximately 200 servers and multiple per-studio clusters to 30 Aerospike servers (about an 85% reduction), with nodes per cluster dropping almost half from 5–6 to 3–5, which is projected to save about $4.2M in TCO over three years and is easier to operate

Customer 360 and personalization: One view, instant action

A unified, real-time view of each customer results in more relevant and timely engagement. Aerospike supports customer 360 platforms by consolidating behavioral events, transactional histories, preferences, and external data into one always-current record, so personalization is based on the latest data, not last week’s or yesterday’s.

The platform keeps latency low and throughput high even when managing hundreds of millions of profiles. This lets retailers, banks, streaming services, and other consumer-facing organizations deliver immediate, data-driven experiences and help them keep their customers.

Customer examples

• Adobe real-time CDP: Powers a real-time profile store and segmentation engine on a two-tier Aerospike design (L1 in-memory + L2 all-flash) to activate up-to-date customer profiles in milliseconds across web and mobile, supporting ~45B profiles and 34–35B writes/day while meeting an SLA of <10 ms for 99% of requests, and increasing capacity by 5x with an 89% lower infrastructure cost; also simplified from a multi-layer stack of Redis, Cassandra, and HBase to one Aerospike deployment, improving time-to-personalization 

What this means for your tech roadmap

Four consecutive years on the Inc. 5000 list is not just a milestone; it shows how well Aerospike meets production performance needs for global organizations.

Its capabilities drive that recognition: real-time bidding and audience decisions in AdTech; predictive, generative, and agentic AI that stays fed with fresh context; inline fraud prevention; and running the same workload on fewer servers, so infrastructure costs lessen. Teams also rely on Aerospike for customer 360 and personalization, user profile stores, and identity graphs, all with predictable sub-millisecond performance and as few as 20% of the servers most NoSQL databases need.

If you are planning for higher throughput, tighter SLAs, or lower TCO, Aerospike is built to support your path. Learn more by taking a look at our customer story pages or try Aerospike free to see how well it handles your workloads.