# QuestDB

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/questdb
- **Dataset:** https://optimly.ai/brand/questdb.json
- **Markdown:** https://optimly.ai/brand/questdb/llms.txt
- **Official website:** https://questdb.com
- **Slug:** questdb
- **Categories:** data-analytics-business-intelligence

## Overview

- **Tagline:** Unifies live stream and complete historical records with one SQL engine. Offers high-speed ingestion (millions of events/sec) and millisecond computation on live data, along with durable, deduplicated, and out-of-order correction capabilities. Supports standard SQL and open formats like Apache Parquet, Iceberg, and Arrow, with special SQL primitives for time-series analytics (e.g., OHLCV materialized views, SAMPLE BY, ASOF JOIN, HORIZON JOIN).
Source: Brand's website (https://questdb.com) · 2026-10-04

- **Description:** QuestDB is a high-performance, open-source time-series database that ingests millions of events per second, computes on live data in milliseconds, and keeps years of history queryable. It provides a unified SQL engine spanning messaging, stream processing, and tiered storage, enabling real-time analytics and historical research. It is built for demanding workloads in capital markets, aerospace, and energy.
Source: Brand's website (https://questdb.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - QuestDB (Open Source)
  - QuestDB Enterprise
Source: Brand's website (https://questdb.com) · 2026-10-04

- **Pricing:** Open-source (community edition) and Enterprise (commercial license/subscription)
Source: Brand's website (https://questdb.com) · 2026-10-04

## Audience

- **Target industry:** Companies with critical data workloads, specifically in Capital Markets, Aerospace & Robotics, and Energy & Infrastructure sectors. Use cases include market data & research, pre-trade analysis, TCA & markouts, intraday risk & P&L, surveillance & compliance, real-time fleet monitoring, and predictive maintenance.
Source: Brand's website (https://questdb.com) · 2026-10-04

Page last updated 2026-10-17.