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Based on our record, BuntDB should be more popular than InfluxData. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Https://github.com/tidwall/buntdb -> I think this one you might want. Source: over 1 year ago
Buntdb - Fast, embeddable, in-memory key/value database for Go with custom indexing and spatial support. Source: almost 2 years ago
BuntDB [0] from @tidwall uses this package as a backing data structure. And BuntDB is in turn used by Tile38 [1] [0] https://github.com/tidwall/buntdb. - Source: Hacker News / almost 3 years ago
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: about 2 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 2 years ago
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
TimescaleDB - TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.
Beringei - High performance, in-memory storage engine for time series data (by Facebook)
Prometheus - An open-source systems monitoring and alerting toolkit.
LokiJS - In-memory JavaScript Datastore with Persistence
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.