Benchmark and comparison: QuestDB vs. InfluxDB v1/v2

QuestDB and InfluxDB are compared in detail regarding performance, architecture, and usability, focusing on their functionalities as time-series databases. QuestDB, an open-source database written in Java and C++, offers significant performance advantages, especially in data ingestion and complex query handling, being up to 36 times faster in data ingestion and up to 130 times faster in certain analytical queries compared to InfluxDB. In contrast, InfluxDB, developed by InfluxData and primarily written in Go, excels slightly in specific simple aggregation queries. QuestDB uses a columnar storage model that efficiently handles high cardinality by storing all data in a single table structure, which contrasts with InfluxDB's measurement-based model that can suffer from performance degradation due to its per-series storage overhead. While both databases support SQL querying, QuestDB extends standard SQL for enhanced time-series analysis, offering better integration with PostgreSQL tools and compatibility with numerous programming languages, whereas InfluxDB has broader native integrations and a larger ecosystem due to its longer presence in the market. The choice between the two databases depends on specific use cases, such as QuestDB's suitability for high-cardinality workloads and real-time analytics versus InfluxDB's advantages for simple monitoring tasks and existing ecosystem investments.