In the high-stakes world of betting and gaming, milliseconds matter. Real-time data powers everything—from live odds and fraud detection to operational reporting, player safety, machine learning and personalisation.

But traditional streaming architectures—often built on legacy Kafka platforms and stitched-together tooling—can’t keep up with modern demands. That’s why Entain, a global leader in sports betting and gaming entertainment, partnered with Redpanda to simplify their streaming stack, eliminate operational bottlenecks, and deliver real-time data into Snowflake and across their business.

In this fireside chat, we’ll take you inside Entain’s real-time data transformation and explore how they:

• Replaced Confluent Cloud with Redpanda BYOC in just two weeks, achieving a 30% boost in performance and a 24% annual reduction in total cost of ownership
• Streamlined real-time financial, operational, and regulatory reporting with low-latency, query-ready data into Snowflake
• Eliminated 28,000 lines of Kafka Connect and custom ingestion code into Snowflake by adopting Redpanda Connect’s simple YAML-based configuration
• Shifted from batch ETL to live analytics and ML use cases, enabling faster, smarter decisions across the business
• Minimized risk and reduced downtime with a more reliable, developer-first platform that supports regulated, high-throughput workloads

Whether you’re in gaming, finance, or any real-time business, this is a blueprint for reclaiming control of your data infrastructure, reducing complexity, and scaling innovation with confidence.

Speakers:

Andreas Sandmann Chief Data & Analytics Officer Entain AU/NZ

Mike Boyarski Chief Marketing Officer Redpanda