QuestDB

Who Benefits

QuestDB is designed for engineers and data teams that need to ingest high‑velocity time‑series data and run instant analytics. It shines in financial market data, IoT sensor streams, and real‑time monitoring dashboards where low latency and schema‑on‑the‑fly changes are essential.

Core Capabilities

The engine uses a column‑oriented, zero‑GC Java/C++ core with SIMD‑accelerated vector execution, delivering sub‑millisecond ingestion of millions of rows per second. SQL is extended with time‑series functions such as ASOF JOIN, SAMPLE BY, and LATEST ON, while materialized views and n‑dimensional arrays support complex analytics like order‑book depth. Multi‑tier storage moves data from a write‑ahead log to native columnar files and finally to Parquet on object storage, enabling hot‑warm‑cold data tiers without vendor lock‑in.

Deploy Anywhere

QuestDB runs from a single Docker container, Homebrew on macOS, or via Helm charts on Kubernetes, and is available as AMIs on AWS and images on GCP and DigitalOcean. Clients connect through PostgreSQL wire protocol, REST, or InfluxDB line protocol, and integrations with Grafana, Kafka, and popular data‑science libraries make it easy to build end‑to‑end pipelines.