7 tips to make your dashboards faster

Building fast dashboards is crucial to enhancing user experience and involves addressing common performance issues such as poorly constructed SQL queries, using inappropriate databases, and failing to pre-filter or cache data. By optimizing SQL queries, moving raw data to real-time databases, creating pre-filtered and pre-aggregated views, caching query responses, hosting data near users, adopting event-driven architectures, and utilizing real-time processing engines, dashboards can be significantly sped up, offering lower latency and fresher data. Real-time platforms like Tinybird facilitate these processes by allowing users to capture streaming data, process it in real-time using SQL-based pipes, and store pre-aggregated data in materialized views, which can be accessed through low-latency APIs. These strategies collectively contribute to faster, more responsive dashboards that can efficiently handle concurrent queries and provide timely data updates.