Case Study: Polymarket achieves reliable real-time prediction market data with Goldsky Mirror

How Polymarket is bringing prediction markets to life with Goldsky Mirror

Polymarket, a leading onchain prediction market, faced significant infrastructure challenges related to data reliability and connecting onchain activity to its offchain user database. Their original subgraph provider suffered from lag, missing data, and service interruptions. Furthermore, they needed a solution to map user data like usernames and comments to onchain transactions, which was a major engineering hurdle without a sophisticated in-house ETL system.

To solve this, they implemented Goldsky's hosted subgraph service and Goldsky Mirror. Goldsky provided reliable, high-uptime indexing with intelligent RPC load-balancing. Mirror enabled them to seamlessly integrate onchain data into their existing Amazon RDS database, allowing them to build complex APIs that join onchain and offchain data. As a result, Goldsky's infrastructure supports Polymarket's platform, which handles a 28-day trading volume of $32 million and over 30,000 matched trades with 99.9% uptime.

Polymarket

Liam Kovatch

Head of Engineering