We mainly write and read data from InfluxDB. We perform very simple queries to do time series on a key, which is a unique ID of the vessel. We will select a vessel and select from time to time stamp. That’s what we do. InfluxDB’s core functionality is crucial as it allows us to store our data and execute queries with excellent response times.

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The most important feature for us is low latency, which is crucial in building a high-performance engine for day trading. InfluxDB can handle around ten thousand messages per second, which is essential for our requirements. The solution's ability to store time series data is also significant in our crypto trading use case where time series data about prices is critical. View full review »

The user interface is well-designed and easy to use. It provides a clear overview of the data, making it simple to understand the information at hand.

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I use Kapacitor a lot. It is the feature that allows us to create batch jobs and interact with the data that we have. That's the most interesting feature. 

The query language is very similar to SQL, which is very useful because most of us have a background in SQL language.

They have the Telegraf agent that gets the data and puts it in Influx. We can also put data into Influx through the API. We are doing a lot of custom-based agents and a lot of scripts that are adding data to Influx. As a time series database, it is very powerful and lightweight. It can deal with heavy workloads very easily. That, for me, is the main advantage of Influx as compared to other databases. 

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The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana.

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The most valuable feature of the solution is we can use InfluxDB to integrate with and plug into any other tools.

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InfluxDB's best feature is that it's a cloud offering. Other good features include its time-series DB, fast time-bulk queries, and window operations.

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The most valuable features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem.

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The most valuable features are aggregating the data and the integration with Grafana for monitoring.

We have been looking at the continuous query feature and think that it might solve one of our use cases, but we have not implemented it yet. We are trying to do that now.

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The solution is very powerful.

The solution is easy to use and easy to learn.

Influx Series Ten, in particular, is a strong application.

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