SingleStore Is Powering the Real-Time Data Infrastructure Behind Modern Sports and Entertainment
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SingleStore Is Powering the Real-Time Data Infrastructure Behind Modern Sports and Entertainment
From athlete tracking and sports commerce to audience intelligence and AI-powered applications, SingleStore provides the data foundation to transact, analyze, search and build on live information in one unified system.
The Real-Time Data Challenge
Sports has always happened in real time. Now the business around it does too.
Every live event creates a continuous flow of performance data, audience behavior, content consumption, transactions and commercial signals. Streaming and esports environments amplify that dynamic even further, producing massive volumes of information across games, events, channels and audiences.
The opportunity is not simply to collect more of that information.
It is to make it useful while it still matters.
Traditional data architectures often separate the systems running an application from the systems analyzing what is happening inside it. Information gets moved, copied and synchronized before teams can turn it into insight.
That creates friction in an ecosystem where timing increasingly shapes the value of the data itself.
SingleStore removes that separation.
One Engine for Transactions, Analytics, Search and AI
Founded in 2011, originally as MemSQL, SingleStore has grown into a real-time data platform serving 400+ customers across more than 40 industries and 50+ countries, including more than 100 organizations with over $1 billion in annual revenue.
SingleStore allows organizations to transact, analyze and contextualize data in a single unified engine.
Instead of relying on multiple databases and complex ETL pipelines, streaming ingestion, transactions, analytics, search and AI can operate on the same data foundation.
The platform delivers single-digit millisecond query latency and can ingest millions of events per second, giving organizations the performance required for applications where data is continuously changing.
For sports organizations managing live experiences, transactions and performance data, that changes the relationship between information and action.
The infrastructure becomes capable of keeping pace with the experience it supports.
From Real-Time Data to Real-Time Intelligence
The next layer is AI.
SingleStore is expanding its real-time architecture through Aura Intelligence, connecting enterprise AI directly with live business data and context.
Aura Analyst enables conversational analytics over live enterprise data, allowing users to ask questions in natural language and receive answers grounded in current operational information.
AI Functions allow developers to run AI capabilities directly from SQL, including classification, summarization and data enrichment without first moving data into another system.
SingleStore’s MCP Server connects development tools directly to live SingleStore environments, allowing AI assistants to inspect schemas, run SQL and reason over real data rather than relying on stale exports.
Its Context Engine provides a reusable semantic layer that gives users and AI agents a shared understanding of data, business logic and relationships.
Together, these capabilities create new possibilities for sports technology, from conversational match-day analytics and in-play intelligence to personalization that can respond as new information enters the system.
The performance of an intelligent application does not depend only on the quality of its model. It also depends on how quickly and efficiently that model can access the right data and business context.
SingleStore addresses that infrastructure layer.
Real-Time Infrastructure Across the Sports Ecosystem
SingleStore is already supporting applications across multiple parts of the sports value chain.
PitcheroGPS brings the technology directly into athlete performance.
The FIFA and World Rugby approved GPS platform uses SingleStore to ingest 140,000 rows per second from hardware trackers in the field. Complex queries can run against nearly 1 billion rows in milliseconds, giving the platform the performance required to process large volumes of athlete tracking data.
As Jon Milsom, Co-Founder and CTO of PitcheroGPS, puts it: “I don’t think this business unit is viable for us without SingleStore. We couldn’t hit the performance requirements with MySQL.”
Fanatics demonstrates the commercial side of the equation.
Its commerce infrastructure spans Fanatics.com alongside the official online stores of every major North American league and more than 200 professional and collegiate teams.
SingleStore supports demand forecasting using live web, mobile and point-of-sale data, helping production respond while demand around a sports moment is still active.
Stream Hatchet applies the same real-time principle to audience and sponsorship intelligence.
The streaming and esports analytics platform uses SingleStore to deliver real-time audience analytics to publishers, leagues and sponsors.
After consolidating onto SingleStore, Stream Hatchet achieved 10x faster queries and 2x faster reporting, enabling users to analyze audience behavior with minute-by-minute granularity.
That creates a direct commercial connection between infrastructure and sponsorship. Audience and partnership value can be evaluated using live numbers rather than waiting for retrospective reporting.
Gaming, Advertising and Live Brand Activation
The same real-time requirements are increasingly visible across gaming and advertising.
Silicon Digital, owned by Gamefam, powers analytics and advertising intelligence across Gamefam’s 52 Roblox games using SingleStore.
After migrating from MySQL, dashboards that previously took 30 minutes to load dropped to approximately one second. The infrastructure supports up to 300,000 peak concurrent users while ingesting more than 500 GB of analytics data each month.
For brands and advertisers operating inside gaming environments, that speed matters. Campaign performance, player engagement and in-play advertising can be understood while experiences are still live.
PYLER extends that principle into brand safety and contextual intelligence for video advertising.
Using SingleStore, PYLER achieved 10x faster data ingestion and a 100x reduction in query latency, supporting real-time analysis across large-scale video environments.
For sponsorship and brand teams, the implication is particularly relevant. Monitoring placements and contextual signals in real time creates the opportunity to respond while campaigns are active rather than discovering an issue after the moment has passed.
Beyond Sports: Infrastructure Built for Scale
The same requirements appear across gaming, media and entertainment.
Sony PlayStation Network needed to identify denial-of-service attacks as they happened while ingesting 1 million rows per second and running full SQL analytics against live data.
SingleStore enabled Sony to consolidate three separate databases into one while reducing infrastructure costs by approximately 75%.
The use case adds another dimension to the real-time infrastructure conversation: reliability.
For digital sports and entertainment platforms, high concurrency is not only a performance challenge. Uptime, security and the ability to identify problems during peak moments can directly shape the user experience.
For Disney and Hulu, SingleStore powers real-time advertising forecasting, pacing, decisioning and revenue optimization while processing 2 billion rows of ad data per hour.
The implementation reduced time to insight from 17 hours to minutes and lowered infrastructure costs by more than 50%.
These environments share many of the challenges now shaping modern sports businesses: large concurrent audiences, live transactions, personalization, advertising, digital commerce and increasingly intelligent applications.
Proven at Enterprise Scale
SingleStore’s customer ecosystem includes organizations such as Nvidia, Goldman Sachs, Adobe, Comcast, Sony, GE and SiriusXM, alongside its growing footprint across sports, gaming, media and entertainment.
SingleStore has also been recognized in the Gartner Magic Quadrant for Cloud Database Management Systems.
That scale matters as sports properties increasingly operate like technology and media businesses themselves.
Fans expect responsive digital experiences. Commerce demand can change around a single moment. Performance systems generate continuous streams of data. Sponsors want faster audience intelligence. AI applications require fresh context.
Across each of those environments, the underlying requirement is similar: infrastructure that can process and make sense of information at the speed the business is generating it.
Who It Is For
Within sports, entertainment and media, SingleStore is particularly relevant for organizations building products where data volume, speed and intelligence converge.
That includes leagues and clubs developing digital platforms, athlete performance and tracking companies, sports commerce businesses, esports and gaming analytics platforms, media and streaming organizations, audience intelligence providers, sponsorship and advertising technology companies and engineering teams building AI-powered applications.
The use cases may be different, but they share the same challenge.
When the value of information changes quickly, the infrastructure underneath it has to keep up.
Why It Matters Now
The sports technology conversation is entering a new phase.
The first wave was about digitizing operations and collecting more data.
The next was about analytics and turning that data into dashboards.
Now the industry is moving toward intelligent applications that can search, understand, recommend and eventually act on information in real time.
That transition changes what organizations need from their infrastructure.
An athlete tracking platform processing hundreds of thousands of data points per second cannot afford database bottlenecks.
A commerce platform responding to championship demand cannot wait until the moment has passed.
A sponsorship or advertising team gains more value when audience and brand intelligence arrives while attention is still active.
A digital platform needs to detect threats while they are happening, not after peak traffic has passed.
And an AI application cannot operate intelligently on live situations if the information underneath it is already outdated.
The competitive advantage is increasingly found in shortening the distance between data, intelligence and action.
SingleStore provides the real-time data infrastructure for that shift.
As sports, media and entertainment become more real-time and AI-driven, the data layer underneath those experiences becomes increasingly strategic.
SingleStore provides a unified foundation for organizations that need to transact, analyze, search and build intelligent applications on live data.
Learn more in: https://www.singlestore.com/
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