May 11, 20251 yr These databases are built specifically for high-ingestion, time-based data. They are optimized for insert speed, compression, retention, and downsampling, with support for continuous queries and time-windowed aggregations. Common use cases include IoT, smart devices, telemetry, and predictive AI pipelines. Tools: InfluxDB – A popular time-series database built for high write throughput and real-time analytics. Supports the InfluxQL and Flux query languages and integrates with Telegraf and Grafana. TimescaleDB – A PostgreSQL extension with native support for time-series analytics. Combines SQL expressiveness with time-based optimizations like continuous aggregates and native compression. QuestDB – High-performance TSDB with standard SQL syntax and ingestion rates exceeding millions of records/sec. Designed for financial and telemetry use cases with strong visualization support. TDengine – IoT-focused time-series database offering built-in stream processing, caching, and minimal storage footprint. It supports SQL, clustering, and time-based triggers.
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