TimescaleDB Insights

What is TimescaleDB?

TimescaleDB is an open-source time-series database built on PostgreSQL. It is designed for fast ingest and complex queries of time-series data, offering features like automatic partitioning (chunking) of data by time, continuous aggregates for pre-computing results, and data retention policies. It's commonly used for IoT sensor data, DevOps monitoring, financial analysis, and other applications where data is primarily time-based.

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What other technologies are related to TimescaleDB?

TimescaleDB Competitor Technologies

InfluxDB

InfluxDB is a time-series database, directly competing with TimescaleDB for time-series data storage and analysis.

mentioned alongside TimescaleDB in 5% (577) of relevant job posts

Apache Druid

Apache Druid is an open-source analytics database designed for business intelligence (OLAP) workloads on event-driven data, making it a competitor in some use cases.

mentioned alongside TimescaleDB in 2% (85) of relevant job posts

ClickHouse

ClickHouse is a column-oriented database management system that allows generating analytical data reports in real time. It can be used for time-series analysis, making it a competitor.

mentioned alongside TimescaleDB in 1% (95) of relevant job posts

TimescaleDB Complementary Technologies

PostgreSQL

TimescaleDB is built as an extension on PostgreSQL, leveraging its features and ecosystem, making it strongly complementary.

mentioned alongside TimescaleDB in 0% (1.8k) of relevant job posts

MQTT

MQTT is a messaging protocol often used in IoT applications. TimescaleDB can be used to store and analyze time-series data from MQTT-based systems, making it complementary.

mentioned alongside TimescaleDB in 1% (238) of relevant job posts

RabbitMQ

RabbitMQ is a message broker. TimescaleDB could be used to store time-series data generated from message queues, thus complementary.

mentioned alongside TimescaleDB in 0% (445) of relevant job posts