MongoDB Time Series Benchmark and Review

QuestDB is an open-source time-series database designed for high-performance workloads, offering ultra-low latency, high ingestion throughput, and a multi-tier storage engine, with native support for Parquet and SQL to ensure data portability. In a comparison with MongoDB, a popular NoSQL document-oriented database, QuestDB demonstrates significantly faster ingestion speeds, completing tasks 24 times quicker than MongoDB, while also excelling in complex query performance due to its columnar data layout, SIMD instructions, and multi-threaded processing. The evaluation highlights the ease of use with QuestDB's SQL-based query language, which simplifies data aggregation tasks compared to MongoDB's JavaScript-based MongoDB Query Language (MQL). Both databases have strengths in their ecosystems and support, with MongoDB being a more mature product with a vast ecosystem and QuestDB offering vibrant community engagement and compatibility with the Postgres wire protocol. While MongoDB has added time-series functionalities, QuestDB's purpose-built design for time-series data provides unique advantages, such as efficient data lifecycle management and simpler query syntax for time-based data analysis.