QuestDB logo

    QuestDB

    Open-source time-series database.

    GBUnited Kingdom·Founded 2019
    Headquarters
    🇬🇧United Kingdom
    Data Hosting
    Customer-defined
    Structure
    Independent
    Compliance
    ▣GDPR◆EU HQ

    QuestDB key facts

    Last updated
    Legal entity
    QuestDB Ltd
    Headquarters
    United Kingdom (GB)
    Ownership
    Independent
    Founded
    2019
    Data hosting
    Customer-defined
    Infrastructure
    Cloud-native (Provider unspecified)
    Deployment
    Self-hosted
    Open source
    Yes
    US Cloud Act exposure
    Low (no US parent)
    Replaces
    InfluxDB, TimescaleDB, ClickHouse, Amazon Timestream, MongoDB, KDB+, Prometheus, Druid, OpenTSDB

    About QuestDB

    QuestDB is an open-source time-series database designed for high performance, specifically targeting applications in financial services, IoT, and real-time analytics. It is built from the ground up in Java and C++ to eliminate garbage collection pauses and leverage modern CPU architectures through vectorized execution and memory-mapped files. The database allows users to query time-series data using standard SQL, augmented with custom extensions like ASOF joins, which simplify the correlation of data points from different timelines that do not have exact timestamp matches. QuestDB supports various ingestion methods, including the InfluxDB Line Protocol and PostgreSQL wire protocol, making it compatible with existing ecosystems like Grafana and Telegraf. It is available as an open-source project under the Apache 2.0 license, as well as a managed Cloud offering.

    Alternative to

    Target Segments

    EnterpriseSMB

    Deployment Options

    Self-hosted

    Hosting & Security

    Infrastructure

    Cloud-native (Provider unspecified)

    Key Features

    ASOF joins for time-aligned data sets
    High-throughput ingestion via ILP (InfluxDB Line Protocol)
    SQL support for time-series queries
    Sub-second queries on billion-row datasets via vectorized execution
    Hard-wired for performance using Java & C++ with zero-GC techniques
    Integration with Grafana for visualization
    Support for MQTT via Telegraf or direct ingestion

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