InfluxDB
An open-source time-series database developed by InfluxData, optimized for high write throughput and time-series data storage. It is widely used in monitoring and observability scenarios, providing efficient ingestion and querying of timestamped data at scale.
Timeline (last 90 days)
Paul Dix is the CEO of InfluxData and the creator of InfluxDB
TimescaleDB, in the form of a PostgreSQL extension, challenges dedicated time-series database systems such as InfluxDB.
InfluxData CEO and InfluxDB creator Paul Dix believes AI wrote approximately 1 million lines of code that were then continuously refined over the following months.
The data regarding 1 million lines of code, 11 days, and $165,000 comes from public statements by Paul Dix, CEO of InfluxData and creator of InfluxDB.
The "open-core + cloud services" business model already has well-established precedents in products such as MongoDB and InfluxDB.
Time-series databases (such as InfluxDB, TimescaleDB, and QuestDB) rely directly on day-of-week computation in queries such as weekly aggregation and grouping by weekday.
InfluxDB采用TSM（Time-Structured Merge Tree）存储引擎，TimescaleDB基于PostgreSQL扩展
All Facts (8)
农业数据可视化前端通常采用ECharts、D3.js、AntV等可视化库，后端依赖InfluxDB、TimescaleDB等时序数据库
80%UnverifiedPaul Dix is the CEO of InfluxData and the creator of InfluxDB
50%UnverifiedTimescaleDB, in the form of a PostgreSQL extension, challenges dedicated time-series database systems such as InfluxDB.
50%UnverifiedInfluxData CEO and InfluxDB creator Paul Dix believes AI wrote approximately 1 million lines of code that were then continuously refined over the following months.
50%UnverifiedThe data regarding 1 million lines of code, 11 days, and $165,000 comes from public statements by Paul Dix, CEO of InfluxData and creator of InfluxDB.
50%UnverifiedThe "open-core + cloud services" business model already has well-established precedents in products such as MongoDB and InfluxDB.
50%UnverifiedTime-series databases (such as InfluxDB, TimescaleDB, and QuestDB) rely directly on day-of-week computation in queries such as weekly aggregation and grouping by weekday.
50%UnverifiedInfluxDB采用TSM（Time-Structured Merge Tree）存储引擎，TimescaleDB基于PostgreSQL扩展
50%