G2

Jeet S.

Data Engineer

Small-Business (50 or fewer emp.)

9/2/2026

"InfluxDb Delivers Reliable High-Performance Time-Series Monitoring"

5/5

Describe the project or task InfluxDB helped with:

InfluxDb is a high-performance time-series database designed for handling large volumes of time-series data efficiently. It is widely used for monitoring, metrics, and analytics, providing reliable data collection and querying capabilities. The platform integrates well with existing tech stacks and offers a user-friendly interface, although there is a learning curve. Pricing can be a concern as usage scales, so it's important to evaluate long-term costs. Review collected by and hosted on G2.com.

What do you like best about InfluxDB?

What I liked most about InfluxDb was its performance when handling large volumes of time-series data. We used it for monitoring and metrics, and it was reliable for collecting and querying data frequently. The integrations also made it fairly easy to fit into our existing tech stack. I found the UI and overall workflow reasonably straightforward once I got familiar with it, although there is a bit of a learning curve initially. The main drawback for us was pricing. As our data volume and retention needs increased, the cost became harder to justify. Overall, I think it's technically strong, particularly for performance and time series workloads, but I'd recommend carefully evaluating the long-term cost before committing at scale. Review collected by and hosted on G2.com.

What do you dislike about InfluxDB?

The biggest issue for me was the pricing as usage scaled. In the beginning, the platform worked well for our needs, but as our data volume and retention requirements increased, the costs became harder to justify as I mentioned in the previous question. So, concluding with pricing and some hit on the learning curve. Review collected by and hosted on G2.com.

Recommendations to others considering InfluxDB:

I would recommend carefully evaluating the long-term cost before committing at scale. Review collected by and hosted on G2.com.

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

We mainly used Influx DB to handle our time series data and system metrics without putting too much load on our main database. The main problem it solved was reliability in monitoring, performance, and viewing historical trends. One click and you know what you are looking at the historical points. Review collected by and hosted on G2.com.