G2

Hanna R.

Kasir

Mid-Market (51-1000 emp.)

5/2/2026

"Fast, Economical, and Flexible for Time-Series"

5/5

What do you like best about InfluxDB?

I find InfluxDB very relevant and in high demand, both for everyday needs and work, such as monitoring servers and applications by storing CPU, RAM, disk metrics, and others. InfluxDB is also very efficient in handling IoT and sensor data, as well as for DevOps and observability. I like how InfluxDB optimizes time series and 90-day queries can be done in milliseconds, even for billions of rows of data. This incredible query speed makes dashboards like Grafana run smoothly without lag during demos. I also appreciate the improvements in handling high cardinality in the latest version of InfluxDB, which allows tracking millions of series without sacrificing performance. With InfluxDB, substantial issues like large data compression and data retention policies of more than a year can be handled well. The initial setup of InfluxDB is also very easy and quick, making it a valuable choice and highly recommended. Review collected by and hosted on G2.com.

What do you dislike about InfluxDB?

No problem I really like it and it's fun Review collected by and hosted on G2.com.

What problems is InfluxDB solving and how is that benefiting you?

InfluxDB solves the speed issues of regular database queries for time series data and quickly stores billions of sensor data points. Compression features and retention policies save up to 90% of storage space. Additionally, schema-less flexibility and support for continuous queries make data processing more efficient and faster. Review collected by and hosted on G2.com.