High Performance
InfluxData's InfluxDB is designed to handle high write and query loads, making it suitable for time-series data and real-time applications.
Open-Source
The core InfluxDB product is open-source, allowing for transparency, community contributions, and the option to self-host the database.
Scalability
InfluxDB offers horizontal scalability, enabling users to handle increasing volumes of data efficiently through clustering.
Built-In Data Processing
InfluxData offers integrated tools for data processing and scripting, such as Kapacitor for real-time processing and Flux for advanced querying.
Rich Ecosystem
InfluxData provides a comprehensive ecosystem including Telegraf for data collection, Chronograf for visualization, and Kapacitor for alerting and processing.
Time-Series Focused
InfluxDB is optimized for time-series data, offering specialized features like time-based retention policies, continuous queries, and downsampling.
Easy Integration
InfluxDB integrates well with many third-party data visualization and monitoring tools such as Grafana, making it easier to build end-to-end solutions.
I would highly recommend using a proper Time Series Database like QuestDB or InfluxDB to do this instead. You can always export data from wither of those two into Excel if your boss wants it in excel, but it's much easier to do data transformations, create graphs and reports, etc. If you have all the data in a proper database. Source: over 3 years ago
I would suggest using something better suited to IoT data than ... a spreadsheet. I'd recommend looking at one of the Time Series Databases for this. 1) QuestDB or 2) InfluxDB as these are much better suited to streaming data. Source: over 3 years ago
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