InfluxDB Reviews

9 Ratings
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Score 8.6 out of 101

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Jonathan Yarbor profile photo
Score 9 out of 10
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Use Cases and Deployment Scope

We use InfluxDB to provide a performant and scalable time series database for business intelligence, system statistics, and customer usage. InfluxDB allows us to effectively throw as much data as we can at the database while reducing it into usable and performant data when accessed. Our relatively small team of engineers was able to research and implement the database setup and implement a working data input model into our application in a short two weeks.
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Valentin Höbel profile photo
Score 10 out of 10
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As a Consultant, I often choose InfluxDB as a time-series database for my customers when they need to store metrics from their monitoring systems.
Since InfluxDB is widely spread, many other software products offer some sort of integration (such as Grafana). Therefore, metrics graphs based on InfluxDB data are often embedded into other software products which are being used by my customers.

This solves the problem that customers often have to get used to different graphical interfaces when viewing common monitoring data and performance metrics. But since graphs (based on InfluxDB data) can get embedded into main GUIs, customers only need to login into one interface and have a complete overview of their data.

InfluxDB itself solves another problem. In the past, many companies used MySQL-like products to store time-series data. This was highly inefficient and difficult to manage. With InfluxDB, many issues those customers had disappeared.

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About InfluxDB

The InfluxDB is a time series database from InfluxData headquartered in San Francisco.
Categories:  Time Series Databases

InfluxDB Technical Details

Operating Systems: Unspecified
Mobile Application:No