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QuestDB

The high-performance time series database, built for AI agents

Data & Analyticstime-seriesopen-sourcesqlparquetai-agentstradingcolumnar-database
QuestDB screenshot

About

QuestDB is an open-source, high-performance time-series database designed for demanding workloads such as trading, finance, and aerospace. It offers ultra-low latency, high ingestion throughput, and a multi-tier columnar storage engine with native Parquet and SQL support. Data is stored in open formats to avoid vendor lock-in and is accessible to AI agents and LLMs via standard SQL and REST APIs.

Problem

Organizations need a high-throughput, low-latency time-series database that avoids vendor lock-in and works natively with AI agents and modern open data formats.

For

Data engineers, quant developers, and AI infrastructure teams at exchanges, banks, and high-performance workload environments

How it works

QuestDB ingests data via WAL into a time-partitioned columnar engine, automatically tiers historical data to open Parquet format on object storage, and exposes a unified SQL surface and REST API for querying across all tiers.

Business model

open-source

Status

launched

Company

QuestDB

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