Real-Time Analytics for Web3: Fraud Detection, Trading, and Growth at Scale

Web3 platforms face analytics challenges that traditional data stacks struggle to solve. Anti-fraud and AML teams need second-level visibility, exchanges require sub-second insights across millions of orders, and growth teams demand real-time behavioral analytics to engage users. Yet, legacy solutions often lead to high costs, stale data, and bottlenecks at scale.

In this webinar, we’ll explore how modern engines help enterprises like Coinbase overcome these roadblocks through:

🌟 Second-level data freshness: Stream blockchain and market data with <10s latency with no batch jobs and delays
🌟 Sub-second latency under high concurrency: Handle hundreds to thousands of concurrent queries on wallet, token, and order datasets with consistent performance
🌟 No ETL overhead: Query Apache Iceberg and other open formats directly, with sub-second performance—no pipelines, no data copies

Learn from the experiences of leading Web3 companies with real use cases and advice designed to help you tackle the industries biggest challenges.

👉🏻 Register now: https://celerdata.wistia.com/live/events/60tbj98da5