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Influxdb

InfluxDB is a time-series database designed to handle high write and query loads. It efficiently stores and retrieves time-stamped data, making it ideal for applications involving monitoring, analytics, and real-time metrics.

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About Influxdb

InfluxDB was created in 2013 by Paul Dix and Todd Persen. It was developed to address the need for a high-performance time-series database capable of handling large volumes of time-stamped data for monitoring and analytics purposes.

Strengths of InfluxDB include high write and query performance, efficient time-series data storage, and a powerful query language. Weaknesses include limited support for complex transactions and potential scaling issues with large datasets. Competitors include Prometheus, TimescaleDB, and OpenTSDB.

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How to hire a Influxdb expert

An InfluxDB expert must possess skills in time-series data modeling, proficiency in InfluxQL and Flux query languages, experience with database performance tuning, familiarity with data ingestion and ETL processes, and knowledge of monitoring and alerting tools.

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