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Time Series Databases

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Time series databases are built to store and query data points collected over time, such as sensor readings, application metrics, financial ticks, and IoT device signals. Unlike general-purpose databases, they are designed to handle high-ingest workloads, time-based indexing, and fast retrieval of recent or historical records. Organizations evaluating the best time series databases software often need a platform that can keep pace with continuous data streams while making analysis easier.

These tools are commonly used by DevOps teams, engineers, data analysts, product teams, and operations groups that monitor systems or track changing conditions. Typical use cases include infrastructure monitoring, observability, predictive maintenance, energy tracking, and performance analysis across connected devices or applications. The top time series tools help teams detect trends, compare intervals, and investigate anomalies without slowing down day-to-day operations.

Common features include compression for large volumes of data, retention policies, downsampling, real-time querying, and support for dashboards or alerting integrations. Many products also offer flexible APIs and compatibility with analytics or visualization platforms to support reporting and automation. For businesses, time series databases can improve visibility into operational patterns, reduce storage overhead, and make it easier to act on time-based data at scale.

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12 companies
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    Tiger Data tigerdata.com
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    InfluxData influxdata.com
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    QuestDB questdb.com
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    TDengine tdengine.com
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    Timescale timescaledb.cn
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    GridDB griddb.net
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    Toposoft toposoft.de
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    SiriDB siridb.com
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    TelescopeDB telescopedb.com
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    Timecho timecho.com
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    openGemini opengemini.org
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    Time Index Technologies timeindexing.com
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