RPC Benchmarks

What We Measured

To evaluate the performance of Quickscope’s RPC infrastructure, we measured a set of key indicators that reflect real-world usage. These include average latency, which represents the time it takes for a request to complete, and P99 latency, which shows the slowest one percent of requests to reveal potential performance outliers.

We also measured the maximum number of requests per second (RPS) the system could sustain without degrading service quality. In addition, we observed how error rates behaved under increasing load, paying close attention to reliability during high-traffic conditions.

Methodology

Benchmark tests were conducted using standard JSON-RPC calls to simulate common usage across Solana-based applications. Tests were performed across multiple global regions to reflect performance from different user locations.

We ran tests on shared, rented, and dedicated endpoints within the Quickscope infrastructure. For context and comparison, we also tested public endpoints from other RPC providers using equivalent request types, durations, and payload sizes.

Quickscope RPC Performance

To evaluate how Quickscope performs across regions, we tested endpoints hosted in New York, Frankfurt, and Dallas. For each region, we measured average latency, P99 latency, and the maximum number of stable requests per second.

These tests helped verify that Quickscope delivers consistent performance regardless of where users are connecting from. Regional routing is handled automatically to minimize delays and ensure reliable throughput across all access tiers.

Comparison vs Other RPC Providers

We compared Quickscope’s results with those from other major Solana RPC providers including Helius, QuickNode, Chainstack, and Ankr. Each provider was tested under the same conditions with a similar range of request loads.

While performance varies depending on the provider’s infrastructure model, Quickscope consistently demonstrated strong performance in latency and throughput under load, particularly in production-like environments. Our infrastructure is tuned specifically for Solana, offering predictable results even in high-demand scenarios.